January 24, 2020

Nouryon to use digital technology from Semiotic Labs to boost plant reliability

SAM4 dashboard

Nouryon has signed a framework agreement to implement self-learning technology developed by Semiotic Labs that helps predict when to maintain and replace pumps and other rotating equipment. Semiotic Labs was one of the winners of Nouryon’s 2018 Imagine Chemistry open innovation challenge.

The technology uses electrical waveforms that can accurately predict 90% of upcoming maintenance needs in rotating equipment such as pumps, compressors and conveyors, up to five months in advance. This gives time to repair or replace critical equipment during planned stops, preventing unexpected interruptions to production and improving reliability of supply and process safety.

The technology has been successfully implemented at Nouryon’s chlorine plant at Ibbenbüren, Germany, and will now be rolled out to seven other sites in Europe.

“Working with start-ups like Semiotic Labs allows us to tap into novel technologies that can provide significant benefits," says Marco Waas, director of R&D and technology for industrial chemicals at Nouryon. "Our customers rely on us for a reliable supply of essential raw materials and this predictive maintenance solution can greatly help improve the performance of our plants, while decreasing cost.”

“Since the Imagine Chemistry challenge in 2018, we have been working together on a pilot program to test and improve our technology," added Simon Jagers, Semiotic Labs' founder. "I am very pleased to see it making a difference in real-life production settings and look forward to the further rollout in partnership with Nouryon.”

Nouryon and Semiotic Labs will also look at ways to generate more value from waveform analysis by developing features that will enable significant reductions in CO2 emissions. The first large-scale implementations are planned for early 2020.

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About Nouryon
We are a global specialty chemicals leader. Markets worldwide rely on our essential chemistry in the manufacture of everyday products such as paper, plastics, building materials, food, pharmaceuticals and personal care items. Building on our nearly 400-year history, the dedication of our 10,000 employees, and our shared commitment to business growth, strong financial performance, safety, sustainability and innovation, we have established a world-class business and built strong partnerships with our customers. We operate in over 80 countries around the world and our portfolio of industry-leading brands includes Eka, Dissolvine, Trigonox and Berol.

About Semiotic Labs
Semiotic Labs was established in 2015 with the aim of making maintenance 100% predictable. A team of data scientists, software developers and technical specialists have developed SAM4, an AI-driven predictive maintenance solution for AC motors and rotating equipment. Semiotic Labs is active in various industries and works with customers such as Vopak, Nouryon, ArcelorMittal, Tata Steel, Schiphol and Engie.

www.semioticlabs.com

If you would like to learn more about how SAM4 could improve the reliability of your critical assets, sign up for a demo here.

January 14, 2020

Customer success video: ArcelorMittal Ghent

ArcelorMittal’s rotating assets often operate under harsh conditions. A conveyor at the Ghent hot strip mill facility moves plates of sizzling hot steel along the production process. Under these circumstances, traditional, vibration-based predictive maintenance technologies fail due to high temperatures.

Hear from Carlos Alba (chief digital officer at ArcelorMittal) and Peter D'haese (chief digital officer at ArcelorMittal Flat Europe) on how SAM4 predictive maintenance enables the detection of developing asset faults from inside the motor control cabinet.

12 issues detected

"The first three incidents predicted by Semiotic Labs' SAM4 were not accepted by the maintenance team because they doubted the accuracy of the solution," says D'haese in the video. "Afterwards, those motors also came to failure. And once this conviction was there, every prediction of every failure was accepted by the maintenance team and they replaced the motors quite in advance. So in total, I think we detected 12 issues of which each was confirmed later by a failure in the motor."

To learn more about SAM4 predictive maintenance and how it could help your plant to reduce unplanned downtime, click here to book a demo.

December 9, 2019

Handheld vs. online condition monitoring

Device in Motor Control Cabinet

Although the practical differences between handheld and online condition monitoring (CM) might seem obvious, the way in which each method is used can differ significantly. This article will discuss the common use cases of both handheld and online CM.

Summary of practical differences between handheld and online CM

Simply put, handheld CM involves the use of a handheld sensor, which is applied to a machine when necessary to determine the condition of the machine, and ultimately determine when maintenance must be scheduled.

Online CM requires sensors to be installed permanently (either on the asset itself or near the asset) and provides ongoing real-time insights into the health of the motor.

The handheld CM use case

An important initial point to make is that handheld CM typically offers a less complete picture of asset health, and so is often applied to assets of medium criticality. The reason that it offers a less complete picture is that by definition, readings are taken at intervals instead of continuously. And fewer readings translate into a less precise picture of asset health. If the assets that need to be inspected are far apart, in an ATEX zone, in a hazardous location or in a difficult-to-reach place, then this can result in even fewer readings being taken. Whether this incomplete picture provides appropriate protection against unplanned downtime is determined largely by the criticality of an asset (and the downtime costs associated with that asset), and as such an incomplete picture is typically applied to assets with a medium criticality level.

As well as monitoring assets of medium criticality, handheld CM is also a popular monitoring method for assets that do not run regularly. If an asset only runs half the year (for example, the motor powering a ski lift), then readings may only need to be taken for half of the year. So it may not make financial sense to install permanent online CM on assets that only run periodically (however, this obviously depends on the criticality of the asset when it is running).

The online CM use case

In comparison with handheld CM, online CM provides a much fuller picture of asset health. As online CM involves the use of permanently installed sensors, it is used to automatically take regular measurements from the asset without needing to dispatch an engineer to inspect the asset. This in turn means developing faults can be quickly detected and resolved before unplanned downtime occurs. It follows that online CM is often deployed on high-criticality assets, where preventing unplanned downtime is a priority.

Online CM comes in a number of different forms, and online vibration analysis (VA) and motor current signature analysis (MCSA) are among the most popular forms. Although they are both online, they themselves have different use cases.

For example, online vibration analysis is used to monitor assets located in hospitable environments. This is because vibration-based systems require sensors to be installed on the asset itself. If the asset's environment is particularly hazardous (think about a conveyor in the hot roller table in a steel mill), then the sensors themselves can be damaged, which can disrupt your data flow and could even result in a missed fault alarm.

Conversely, MCSA-based systems are suited to all environments, and excel in situations where assets are located in hazardous environments. MCSA-based systems measure current and voltage signals from within the motor control cabinet, which is a dry and hospitable place for sensor deployment. This means that regardless of the location of the asset, the sensor is able to provide reliable motor measurements without being damaged by the environment around it. And because MCSA typically detects 20-30% more failures when compared to online vibration analysis, it's no wonder that MCSA is the fastest-growing monitoring technology in the industry today.

Which is best for my use case?

To determine the right type of CM for your use case, it's worth discussing your requirements with a CM supplier. If you would like to learn more about the different types of CM in the short term, download the condition monitoring comparison guide.

November 11, 2019

Dutch consortium aims to make 40% of the world’s electricity consumption more efficient

Leiden -  The Institute for Sustainable Process Technology together with Nouryon, Vopak, Semiotic Labs, TPA Adviseurs and the Universiteit Utrecht's Copernicus Institute have received a grant to develop technology that reduces energy waste from industrial AC motors. AC motors consume roughly 40% of the world’s electric energy resources. The consortium will develop algorithms that analyze electrical waveforms in order to provide asset owners with the insights needed to reduce energy consumption by 15% to 30%, without compromising on output.

“The goal of ISPT is to promote sustainable practices in the process industry," says Frans van den Akker, director of sustainability at ISPT. "To that end, we will work with asset owners and technology providers on developing both tools and practices that enable the reduction of energy waste. The reality of the global economy also mandates that these technologies improve sustainability without compromising output performance. We believe this project will create such a tool: it provides the insights that are required for energy reduction as well as increases in  system performance. A win for the environment, for the production manager and for the CFO.”

Semiotic Labs has developed the first condition monitoring solution to offer efficiency improvement insights, paving the way for sustainability improvements across a number of clients.

SAM4 by Semiotic Labs measures current and voltage signals to detect developing faults in AC motors and rotating equipment such as pumps, conveyors and compressors up to 5 months in advance of the fault causing a failure. The motor data has now been reapplied to detect inefficiencies in industrial processes. SAM4 can now offer the insights needed to increase electrical asset efficiency by 15-30%.

“Sustainability is a crucial part of modern industry, and our tool will enable organizations to drastically reduce electrical energy consumption," says Simon Jagers, Semiotic Labs' founder. "Around 40% of global electrical energy consumption comes from the use of industrial AC motors, and the insights offered by SAM4 can help our clients make a big dent in that number. Together, we can develop technology that helps to reduce the world’s energy consumption in a meaningful way.”

Working alongside partners Vopak and Nouryon, Semiotic Labs is continuously testing new ways to provide even greater efficiency improvement insights.

“Sustainability is high on our list of priorities, and the reduction of electricity consumption is a crucial part of that," says Leo Brand, CIO at Vopak. "Integrating SAM4 into our critical processes is an important step in realizing our energy efficiency targets.”

“SAM4 gives our maintenance staff the insights they need to identify which processes in our factory are not running as efficiently as possible," says Marco Waas, director of RD&I and technology at Nouryon. "This means we can focus our efficiency improvements on processes where we can make the greatest impact on energy reduction. The technology, which is part of the company’s Industry 4.0 program, is initially being tested at several of the company’s sites in the Netherlands and Germany.”

The scalability of the solution has also meant that a large deployment can take place in a cost-efficient way. Traditional condition monitoring requires sensor installation directly on the asset, which is an issue when the assets are located in ATEX zones, hard-to-reach places or hazardous locations. SAM4 sensors are installed inside the motor control cabinet, meaning that SAM4 can be installed and scaled quickly and cheaply.

Together with Vopak and Nouryon and a number of other partners, Semiotic Labs is rolling out a solution that will make a significant difference to world energy consumption.

About ISPT

We believe that radical change can be achieved through technological innovation and cooperation. As an active and open innovation platform for sustainable process technology we connect stakeholders from different sectors and disciplines. At ISPT, industry, SMEs, scientists and governmental bodies find the inspirational and trusted environment where they can optimally work together to stimulate breakthrough innovations. Together we aim to realize a circular and carbon neutral industry in 2050.

www.ispt.eu

About Semiotic Labs

Semiotic Labs was established in 2015 with the aim of making maintenance 100% predictable. A team of data scientists, software developers and technical specialists have developed SAM4, an AI-driven predictive maintenance solution for AC motors and rotating equipment. Semiotic Labs is active in various industries and works with customers such as Vopak, Nouryon, ArcelorMittal, Tata Steel, Schiphol Airport and Engie.

www.semioticlabs.com

About Vopak

Royal Vopak is the world's largest independent tank storage company. Vopak operates a worldwide network of terminals at strategic locations along important trade routes. With more than 400 years of history and a strong focus on safety and sustainability, Vopak provides safe, clean and efficient storage and handling of liquid bulk products and gases for their customers. In this way Vopak enables the delivery of products that are vital for our economy and daily life, ranging from chemicals, oils, gases and LNG to biofuels and vegetable oils.

www.vopak.com

About Nouryon

We are a global specialty chemicals leader. Markets worldwide rely on our essential chemistry in the manufacture of everyday products such as paper, plastics, building materials, food, pharmaceuticals and personal care items. Building on our nearly 400-year history, the dedication of our 10,000 employees, and our shared commitment to business growth, strong financial performance, safety, sustainability and innovation, we have established a world-class business and built strong partnerships with our customers. We operate in over 80 countries around the world and our portfolio of industry-leading brands includes Eka, Dissolvine, Trigonox and Berol.

www.nouryon.com

October 1, 2019

Vopak scales up SAM4 deployment across three locations

Leiden — Vopak and Semiotic Labs have signed an agreement to scale up the deployment of SAM4 condition monitoring. It will be implemented across additional terminals and expanded at the ones it was tested on. SAM4 will be responsible for monitoring a high number of business-critical pumps at each site.

SAM4 is a smart condition monitoring solution for critical AC motors and rotating equipment that detects upcoming failures at an early stage. Developed by Semiotic Labs, it was initially deployed inside terminals at Vopak Vlaardingen and Vopak Singapore as part of a large-scale test. Based on the results of the test, SAM4 is being scaled up across three locations.

In addition to the current expansion, SAM4 is being added to Vopak’s technology catalog. This will pave the way for a much larger deployment across additional sites in the future.

“Vopak continues to innovate in the way we design, construct, maintain and operate our terminals," says Leo Brand, CIO at Vopak. "Innovative technologies such as that provided by Semiotic Labs will help us to improve safety at our terminals, enhance the reliability of our operation, and reduce our energy consumption.”

SAM4 uses electrical waveform analysis to monitor the condition of AC motors and rotating assets such as pumps, all from within the motor control cabinet. This means the maintenance team can accurately detect upcoming faults without attaching any sensors directly to the pump. This is useful for Vopak, as it enables the remote condition monitoring of assets that operate in inherently hazardous environments, such as tank terminals.

“We’ve worked with Vopak for the better part of our company’s history," says Simon Jagers, Semiotic Labs' founder. "Since the beginning, they have both supported our work and challenged us to do better. Signing the framework agreement with Vopak today represents an important milestone in our relationship. Looking to the future, we are pleased that Vopak’s commitment and technical expertise creates an environment that allows us to provide value to their daily operation, as well as a breeding ground for innovation and the continuous improvement of SAM4.”

About Semiotic Labs
Semiotic Labs was established in 2015 with the aim of making maintenance 100% predictable. A team of data scientists, software developers and technical specialists have developed SAM4, a condition monitoring solution for AC motors and rotating equipment. Semiotic Labs is active in various industries and works with customers such as Vopak, Nouryon, ArcelorMittal, Tata Steel, Schiphol Airport and Engie.

www.semioticlabs.com

About Vopak
Royal Vopak is the world's largest independent tank storage company. Vopak operates a worldwide network of terminals at strategic locations along important trade routes. With more than 400 years of history and a strong focus on safety and sustainability, Vopak provides safe, clean and efficient storage and handling of liquid bulk products and gases for their customers. In this way Vopak enables the delivery of products that are vital for our economy and daily life, ranging from chemicals, oils, gases and LNG to biofuels and vegetable oils.

www.vopak.com

September 9, 2019

How condition monitoring increases reliability at airports

Baggage On Conveyor

There's nothing quite as chaotic as a service disruption at an airport. Stressed-out parents trying to keep bored children entertained, business people frantically trying to reorganize meetings, and newlyweds desperately trying to keep their honeymoon on track. As well as the mental (and sometimes emotional) consequences of service disruptions at an airport, the financial costs are also enormous—both in terms of short-term disruption, as well as long-term reputational damage.

Frequent disruption can also greatly affect the operational capacity of the airport. This is especially relevant for airports that wish to increase passenger volume, but cannot expand the physical capacity of the airport.

A great number of the critical processes that operate in airports are powered by electric motors—think baggage conveyor belts, escalators/travelators and lifts. Many of these processes are so critical that if a motor unexpectedly breaks, then large parts of the airport cannot function. This is where condition monitoring plays an important role.

Condition monitoring is used to detect developing faults in electric motors and rotating assets, so that they can be fixed before the fault causes a failure.

Below are a number of high-criticality processes found in most airports, together with a short explanation of how condition monitoring makes that process more reliable.

Luggage conveyor belt

Luggage conveyor belts transport luggage from the check-in desk to the airplane, and from the airplane to the baggage belt. The motors that power these conveyors are electric, and are highly critical to the operation of the airport. A luggage belt breakdown can cause huge disruption, including:

  • Chaos at check-in desks because baggage can't be transported to the plane.
  • Passengers traveling without their baggage, which can result in large compensation claims against the airline.
  • Baggage that's simply lost when a breakdown leaves baggage stranded in an unknown part of the airport.
  • Congestion in the baggage hall because reclaim belts aren't functioning.
  • Departure delays due to checked baggage security screening taking longer.

And luggage belt breakdowns are a frequent occurrence. Google “(airport name) baggage belt breakdown” and more often than not, there will be news articles detailing the ensuing chaos.

Condition monitoring can be used to eliminate unplanned baggage belt breakdowns. For example, our SAM4 can detect a developing fault in a conveyor motor or conveyor belt well in advance, so the maintenance team can fix the fault while the conveyor belt is not in use.

The issue with monitoring every conveyor in an airport is that they're everywhere. This can make attaching condition monitoring sensors directly to each conveyor motor very inconvenient and complex. SAM4 by Semiotic Labs monitors the condition of a motor from within the motor control cabinet, and so doesn't require sensors to be attached to the conveyor belt itself. This makes monitoring the condition of your conveyors simple and scalable.

Pumping stations

Heavy rain can wreak havoc on airport operations, from flooded basements to flooded runways. That’s why rainwater pumping stations at airports are so crucial.

Rainwater pumps are run by electric motors. If those motors break down during a period of high rainfall, the airport is in big trouble.

SAM4 condition monitoring can be used to detect developing pump faults up to 5 months in advance, so that they can be fixed in a period of low rainfall, when they are less likely to be needed.

Escalators and travelators

Take a large airport in the height of summer, and add a few late gate changes, some passengers rushing to make a connection, and lots and lots of luggage.

This is precisely why an effective escalator and travelator (or moving walkway) system is a crucial part of any airport. If passengers can't get to where they need to be, then flights will be missed and chaos will reign.

If one motor in a travelator or an escalator breaks, the whole machine needs to be stopped to fix that one motor. This can be hugely inconvenient, especially in a large and busy airport.

SAM4 can be used to monitor the condition of the motors that drive your escalators and travelators, and will detect developing faults well in advance of an escalator failure. This means that if a fault is detected, the motor can be fixed when the airport isn’t as busy (for example, during the night).

To find out more about how SAM4 condition monitoring can make critical airport processes more reliable, click here to request a demo.

August 28, 2019

Condition monitoring for the pulp and paper industry

paper mill

The pulp and paper industry has existed since the sixth century, and although modern technology has made the production of paper hugely more efficient, there's still one major way that paper mills can increase efficiency and output. And that's through the reduction of unplanned production downtime.

Condition monitoring of critical pulp and paper production processes can alert the maintenance team to a developing fault before that fault causes unplanned downtime. By reducing unplanned downtime, you can increase industrial output without expanding your plant, ultimately helping you to make more paper for less.

Below are a number of critical processes in the pulp and paper industry, combined with an explanation of how condition monitoring can make that process more reliable.

Hydrapulper

The hydrapulper is a machine that uses an agitator to mix waste paper and water together to create recycled pulp.

Hydrapulper agitators are often driven by AC motors. Although the machine requires little maintenance, when it does break down, it can have a direct impact on production.

Applying traditional vibration-based condition monitoring techniques is often impossible because the agitator motor is difficult to reach. That’s why many maintenance professionals are turning to SAM4, which is installed inside the motor control cabinet rather than on the motor itself.

Bleaching system

The bleaching system in a paper mill relies on a number of multistage centrifugal pumps, both to feed the process and expel wastewater. Because of the toxicity of the chemicals involved, a fault in this process could create a health hazard.

Condition monitoring will ensure that any developing fault is detected early (up to 5 months in advance), giving your maintenance team sufficient time to correct the fault before a health hazard does occur.

Paper machine

The paper machine can be split into a number of individual processes, many of which are crucial to the production process. These include:

Headbox pulp pumps
The headbox uses powerful pumps to propel the pulp at high speeds into the gap former. Although they aren't overly expensive to replace, if a pulp pump breaks unexpectedly, the resultant downtime can be costly.

By installing condition monitoring software, maintenance teams can be alerted to any developing fault in the pulp pumps, so they can be replaced before a pump failure causes downtime.

Pressing section
The pressing section uses a number of high-power rollers to remove water from the paper. Pressing is an important part of the production process, so if the motors that power the rollers break down, the effect on production output can be immediate.

Drying section
After pressing, the paper enters the drying section, which uses heated cylinders to remove the rest of the water and strengthen the paper.

The rollers used in the drying section run at high temperatures, and this can create problems when trying to install on-asset condition monitoring sensors. The heat could damage the sensors and ultimately lead to a missed fault.

SAM4 requires sensors to be installed inside the motor control cabinet, which is a safe and temperate place for condition monitoring sensors. No sensors need to be placed on or near the hot rollers.

Paper Mill Rotational Dryer

Calender section
In the calender (not to be confused with calendar) section, the paper is fed through two rollers to give the paper a consistent thickness. These rollers are heavy, so the motor that moves them needs to be powerful (and is therefore quite expensive to replace). Periodically replacing a powerful roller motor as part of a preventive maintenance strategy can significantly reduce your overall equipment effectiveness (OEE).

SAM4 can detect a developing fault in a motor, and report that fault to your maintenance team. This means your maintenance team only needs to replace the roller motor when it's necessary, and not before—increasing OEE and optimizing your maintenance schedule.

Sheeter

Once the paper leaves the paper machine, it's fed into the sheeter. As the name suggests, the sheeter is used to cut large sheets of paper into smaller sheets, which are then stacked onto pallets ready for transportation. If a paper mill needs to create a high volume of smaller-sized paper, then sheeter downtime can significantly hamper production.

By monitoring the rollers in the sheeter with SAM4, production levels can be maintained regardless of the paper sizes being produced.

Unplanned downtime in the pulp industry is no fiction

Paper producers such as Sappi and Crown Van Gelder use SAM4 to reduce unplanned downtime events in their paper mills. To learn more specifically about how Crown Van Gelder uses SAM4, read the case study here.

Sign up for a demo

If you're interested in learning more about how condition monitoring could make your paper mill more reliable, request a SAM4 demo.

August 16, 2019

Condition monitoring: the key to industrial energy efficiency

Industrial-energy-efficiency

Around 45% of the energy used worldwide is used by electric motors. That’s a whole lot of electricity. It’s also why industrial energy efficiency has become such a hot topic. Reduced energy usage holds the key to improved environmental impact and lower operating costs.

Yet energy efficiency initiatives have historically been low on the priority list, often because:

  • it's hard to identify which processes are the most inefficient, and therefore need the most attention.
  • the short-term costs are high (installing inefficiency detection software, rightsizing motors, etc.).
  • high levels of production take priority, regardless of cost.

New advances in condition monitoring are making industrial energy efficiency improvements far more achievable. SAM4 monitors the health of a motor by measuring current and voltage, which by extension means that SAM4 can also measure and detect inefficient processes. Traditional conditional monitoring techniques rely on vibration analysis to monitor the health of motors, and so are unable to offer the same efficiency improvement features.

Production managers are now turning to condition monitoring driven by current and voltage measurement to identify inefficiencies in industrial processes, so that maintenance teams can act quickly to rectify the inefficiency.

Why increased industrial energy efficiency is so important

Improved environmental impact
It goes without saying that the most important objective when improving industrial energy efficiency is to reduce environmental impact.

As important as it is, the conversation to justify spending money on this can be a difficult one, especially when there are more short-term pressing issues, and multiple stakeholders begging for budget.

Reduced costs
Perhaps a more effective justification when there are multiple budgetary mouths to feed is that investment in improved energy efficiency can result in lower operating costs in the long run. This is especially the case as energy gradually becomes more expensive.

Improved brand image
This may seem like a self-serving reason to invest in improving industrial energy efficiency, but it is valid nonetheless. Reduced energy consumption is a hot topic, and a demonstrated effort to reduce energy use could be a way to stand out, encouraging consumers or businesses to engage with you rather than a competitor.

How condition monitoring can help improve industrial energy efficiency

As noted above, electric motors consume a huge amount of electricity worldwide, and so even a few, small concentrated efforts can make a difference. Below are a few ways that condition monitoring can help reduce energy consumption in industrial environments.

Proper maintenance
According to research, properly maintained motors consume up to 15% less energy. SAM4 can be used to detect developing faults (which cause motors to run less efficiently), so they can be fixed as soon as conveniently possible.

Re-engineering inefficient processes
Consider a scenario with two very large drainage pumps. They operate at 80% of capacity in the autumn and winter, as the most rain falls in those seasons. During spring and summer, they both run at 40%.

A relatively quick way to reduce energy waste would be to operate one pump at 80% in the spring and summer instead of two at 40%.

Although this might be a simple example, the point stands. By combining domain knowledge, process knowledge, and power consumption and load measurements provided by monitoring systems, it's often possible to identify new ways to increase process efficiency.

Rightsizing motors
You don’t need a sledgehammer to crack a nut, and the same applies to the use of electric motors. Selecting a motor that matches the load is an important step in improving electrical motor efficiency.

The efficiency of a motor is at its greatest when it runs between 60% and 80% of rated power. The motor will become gradually less efficient as the load is lowered, and will become significantly less efficient when operating at a load below 35–40%. By replacing inefficient motors with more appropriately sized motors, the total energy consumption of a plant could be significantly reduced.

When rightsizing motors, it's also important to balance the long-term effects of rightsizing with the short-term costs. For example, replacing an oversized and inefficient motor before it shows signs of a fault will incur a cost—but in the long term, the plant will save both money and energy by using a motor that's better suited to the process.

Request a demo

If you're interested in finding out more about how SAM4 condition monitoring could help your plant become more energy efficient, sign up for a demo here.