October 1, 2019 | Blog

Vopak scales up SAM4 deployment across three locations

Condition-based maintenance, Predictive Maintenance, SAM4

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 catalogue. This will pave the way for a much larger deployment across additional sites in the future.

Leo Brand, CIO of Vopak: “Vopak continues to innovate in the way we design, construct, maintain and operate our terminals. 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.

Simon Jagers, Founder of Semiotic Labs: “We’ve worked with Vopak for the better part of our company’s history. 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. From Leiden, 24 Data Scientists, Software Developers and Technical Specialists are working on SAM4 - the 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, 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 Veg Oils.

www.vopak.com

June 17, 2019 | Blog

What is Condition Monitoring?

Condition-based maintenance, Predictive Maintenance, Unplanned downtime

Modern brewery production line

Contents:

  1. What is condition monitoring?
  2. What are the benefits?
  3. Who is condition monitoring for?
  4. Selection guide: Which solution is right for your plant?
  5. Further information/training

1. What is condition monitoring?

Condition monitoring is an important tool in the predictive maintenance of machines. By collecting and analysing certain signals from motors, developing faults and inefficiencies can be identified, and unplanned downtime can be avoided.

There are a number of different signals that can be taken into account when monitoring mechanical assets. Traditional condition monitoring was mostly based around vibration analysis, but more modern, innovative techniques focus on MCSA (Motor Current Signature Analysis). To find out which technology is right for you, download The Condition Monitoring Comparison Guide.

2. What are the benefits?

Simply put, condition monitoring uses a number of signals to predict three things. First, if a motor will break. Second, how it will break, and third, the time you have to fix or replace the motor before it functionally fails. Armed with this information, you can schedule maintenance at a time that suits production.

Avoid unplanned downtime

The ability to plan downtime in an industrial environment is hugely beneficial, as the true cost of unplanned downtime due to a failed motor is often wildly underestimated. There are a number of cost factors which are routinely ignored, such as:

  • The true cost of an unplanned delay in production.
  • The need to pay overtime to maintenance staff to replace the motor.
  • Depending on the severity and type of machine break, other machines may be damaged as a result of the motor fault.
  • The cost of needing to store large numbers of spare motors in case any one of your motors breaks. Condition monitoring means you will be forewarned of any motor break (sometimes up to 4 months in advance); meaning backups for faulty motors can be bought when needed.

Apart from the avoidance of downtime due to machine breakage, condition monitoring contributes to a well run plant in a number of other ways:

Maximise ROI

Predictive maintenance using condition monitoring allows you to maximise the return on investment in your mechanical assets. By monitoring the actual condition of your machine, you can inspect, fix or replace the machine only when it’s necessary, and not before.

Conversely, preventative maintenance requires the replacement of all machines after a certain period of time, (or running hours) regardless of whether they have started to show signs of a fault. By keeping your machines in action until it is necessary to change/replace them, you can get more out of your machine (improving TCO (Total Cost of Ownership)), and maximise initial capital ROI.

Maintenance engineers can act more efficiently

In a scenario where there has been a breakage, maintenance engineers are able to act faster using condition monitoring. Different motor signal patterns are indicative of different developing faults. So condition monitoring will help the maintenance engineer to focus on the right fault, and not waste time checking parts of the motor that are not broken. This ultimately makes the maintenance engineer faster and more effective at his/her job.

Safeguard employee safety

By being able to determine when an asset will break, the maintenance personnel can ensure safer work practices. Depending on the nature of the asset, a breakage could be quite destructive, and could pose a threat to the safety of employees working around the asset. So using condition monitoring, the maintenance personnel can plan maintenance before a motor break poses a potential threat to safety.

Improve motor efficiency with MCSA

SAM4 by Semiotic Labs uses Motor Current Signature Analysis, meaning that it can also detect when a motor is beginning to run less efficiently. As a result, you can focus your efficiency improvements on specific motors.

Future proofing your plant

Statistically, 20-40% of your maintenance personnel are likely to retire in the next 5 years. So your ability to react to future unplanned downtime could suffer. SAM4 helps your maintenance team to avoid unplanned downtime and maximise plant productivity in the future.

3. Who is condition monitoring for?

Condition monitoring is an important part of any industrial maintenance strategy, and has a wide range of uses in a range of different environments, including:

  • Oil and Gas
  • Transport
  • Food and Beverage
  • Healthcare
  • Local communities
  • Water and wastewater
  • Airports
  • Pulp and paper industry

The specific assets that condition monitoring is used for include:

  • AC induction motors
  • Pumps
  • Compressors
  • Conveyors
  • Blowers and Fans

To find out how SAM4 by Semiotic Labs could benefit your maintenance strategy, book a demo today.

condition monitoring conveyor

4. Selection guide: Which solution is right for your plant?

The best way to learn about a solution is to book a demo with the supplier. Below are a list of questions and topics to discuss with the supplier during the demo to help you identify whether the condition monitoring software in question is right for you.

Part A: How does this system work?

Systems can differ in a number of different ways depending on the use case. Ask the supplier the following questions to get a better idea of whether this solution is the right one for you.

Which type of data does this system collect?
Condition monitoring involves the analysis of motor metrics. But the type of metric measured can vary from supplier to supplier.

Before the demo takes place, consider making a list of the types of motor metric data your plant could generate. This will give you an idea of whether this system will work for your plant. Data types often used include: current/voltage, vibration patterns, motor acceleration and thermal data.

How will this system collect that data?
Different systems collect data in different ways. For example, MCSA allows sensors to be installed in the Motor Control Cabinet, whereas hand held thermal sensors require the maintenance professional to physically inspect the machine (which might not be an option if the asset is located in an ATEX zone).

Think about how your plant could collect data, and discuss this with the supplier.

Is this an online or off-line solution?
Not all condition monitoring solutions are online. Some systems are based purely on-premise, where the maintenance information does not leave the premises.
Although on-premise solutions may sometimes be the only option (think about ships, where network connectivity is limited), online systems are beneficial in most other ways. For example, if you have a company with plants in multiple locations, a central maintenance crew can monitor the health of any motor from any location. Discuss with the sales consultant whether offline or online would suit your use case best.

Part B: How effective is this system?

Once you have established if this condition monitoring system will work for your plant, it’s time to find out how effective the system is. By asking the sales consultant the following questions, you will gain an understanding of how effective the system is.

What is the failure detection rate?
If the solution routinely misses failures, the ROI of your condition monitoring project will suffer. Anything above 90% detection is considered to be high.

How does the system identify a fault?
How the system will actually identify a fault is an important question. Traditional condition monitoring required manual data analysis to determine a developing fault. But more modern systems (such as SAM4) use AI and Data Science to automate the analysis and automatically determine if there is a developing fault.

How much detail can the system give on the type of the developing fault?
Advanced systems can not only identify a developing fault, but can also identify the specific type of fault and the severity of the fault. Ask the sales consultant if this system also has this functionality.

If a fault is detected, how will the system alert the maintenance team?
This could be completely manual, completely automated, or a mix of both. Often a mix of both can be beneficial, as a set of human eyes can double check that the fault is really a fault before the maintenance team are alerted and maintenance is scheduled.

Part C: Installation

Installation is your first real interaction with the tool. A painful or long-drawn out installation period can kill your team’s enthusiasm for a new tool or new way of working. So a quick and simple installation period can help build support for your tool.

How easy is installation?
This might seem like a subjective question, but different condition monitoring systems can differ significantly when it comes to ease of installation.

Is installation support offered?
Depending on the complexity of the installation, you might require support. Support can come in the form of on-site consultancy, over the phone support or online support materials and documentation (for example see our quick video on how to install SAM4).

AI training time
More modern condition monitoring systems will contain an AI element, which will usually take some of the data analysis burden away from the maintenance engineer, allowing the maintenance engineer to focus on conclusions and actions.

However, the AI system will often first require a learning period so that it can learn how your motor behaves, and the different workpoints the motor typically runs at. Once the system has captured this information, it can determine changes in future performance metrics which are indicative of a developing fault.

The aforementioned AI training time will vary depending on the system, however it is important to ask for an indication of how long this learning period will be. SAM4 typically requires only 2-6 weeks before the AI system has learnt what it needs to learn in order to effectively monitor your system.

Part D: Continued ease of use

Does this system have an easy to use interface?
The only way to really get a feel for this is to ask about it during the demo. Maybe ask if you can explore the interface by yourself for a few minutes. Without asking the sales rep for help, see if you can find:

  • Current motor health
  • Fault history
  • Is there a way to compare assets (possibly useful when comparing motor energy efficiency)?
  • Is there an in-dashboard tour? (For non-tech savvy users, an in dashboard tour can be very useful when demonstrating basic functionality.)
  • Does the user interface integrate with your existing CMMS system?

Ease of on-going system maintenance
Depending on the make-up of your system, on-going maintenance can become expensive.

As mentioned above: if your sensors are installed in difficult to reach places, then on-going sensor maintenance can be more costly and can take longer. Additionally, if your sensors are installed on motors which themselves are situated in hazardous environments, they are likely to be damaged and break more often, which in turn increases the costs of on-going maintenance.

Sign up for a condition monitoring demo

The best way to see if a solution is right for your organization is to book a demo.
If you are interested in learning more about our specific solution, sign up for a SAM4 demo today.

5. Further information/training

The amount of training required will depend on the condition monitoring vendor you opt for.

SAM4 has an intuitive dashboard which helps you to visualise performance data in a helpful way, and take action faster. By making our dashboard as intuitive as possible, very little training is needed to use SAM4, meaning you can start monitoring your assets as soon as possible.

Semiotic Labs also offer installation and technical support if needed. However we find most of our clients are able to install SAM4 without any problems.

In sum

Condition monitoring is a crucial part of a well run plant, as it allows you to optimize your maintenance schedule and minimize unplanned downtime.

To find out more about the strengths and weaknesses of the most commonly used condition monitoring technologies, download the comparison guide.

If you would like to learn more about our specific solution, sign up for a SAM4 demo.

January 19, 2018 | External articles

Wagenborg Magazine: Cost Reduction Through Predictive Maintenance

Predictive Maintenance

https://magazine.wagenborg.com/magazines/times-14/technology-innovation/cost-reduction-through-predictive-maintenance

April 14, 2016 | External articles

Ik weet wanneer jullie machines falen

Data Science, Predictive Maintenance

https://fd.nl/morgen/1147475/semiotic-labsik-weet-wanneer-jullie-machines-falen-zei-ik-dat-sloeg-aan