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Eliminate unplanned downtime in AC motors & rotating assets

We predict over 9 out of 10 of failures up to 5 months in advance using electrical waveform analysis.

Who benefits from SAM4 predictive maintenance?

maintenance

Maintenance professionals

  • Deploy your scarce maintenance resources to assets that actually need help
  • Act faster using real-time fault diagnosis
  • Succeed where previous pilots with predictive maintenance failed
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Innovation leaders

  • Pitch truly innovative technology
  • Appeal to popular business trends such as sustainability
  • Implement ROI-positive change
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operations

Operations specialists

  • Reach production targets by eliminating unplanned downtime
  • Reduce operating costs by only conducting maintenance when faults are detected
  • Avoid safety issues due to equipment failure
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general management

General managers

  • Rely on a high-performing production process that helps the organization meet market demand
  • Accelerate digital transformation through implementation of AI into daily business
  • Execute upon sustainability strategy by reducing industrial electricity consumption
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Our stories

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Preventing downtime at industry leaders worldwide

ArcelorMittal

Hear from ArcelorMittal on how SAM4 predictive maintenance enables the detection of developing asset faults from inside the motor control cabinet.

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Schiphol Airport

SAM4 detected 100% of developing faults on a baggage handling system over a 12-month period, eliminating unplanned downtime.

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Monitor. Detect. Act. Electrical waveform analysis

Install inside MCC

The MCC is a cheap, safe and convenient place for sensor installation, which can be done within 30 minutes per sensor by your own team.

Traditional predictive maintenance requires on-asset sensor installation, which is complicated if the asset is located in a hazardous environment, an ATEX zone or a hard-to-reach place.

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Detect over 9 out of 10 failures

SAM4 uses machine learning, motor current signature analysis and voltage measurements to detect more than 90% of developing faults. Traditional vibration-based predictive maintenance can predict roughly 60% of developing faults.

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Failure warnings up to 5 months in advance

SAM4 can detect a developing mechanical or electrical fault as soon as it begins, well before it starts to endanger production or safety. That gives maintenance engineers the time they need to fix the fault during a period of scheduled downtime.
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maintenance

Increase electrical efficiency

Because SAM4 measures both current and voltage, it can detect developing faults that cause motors to run less efficiently, motors that need to be rightsized for their processes, and processes that are inefficient by design.

Your company can use these insights to reduce energy consumption.

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ai technology

Implementation

Proven results in weeks, not years

Installation

30–90 min per asset

SAM4 installs inside the motor control cabinet.

Learning phase

2–6 weeks

Once installed, SAM4 starts to learn the specific patterns of your assets.

Go live!

Forever

After the learning phase, SAM4 monitors your assets 24 / 7 and sends an alarm when it detects potential failures.

Resources

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Using SAM4 to help drive sustainable industry

SAM4 is a predictive maintenance system that helps maximize asset uptime by detecting developing faults up to five months ahead. But there’s another plus: that same data provides concrete insights that enable energy and carbon reductions.

  • White papers
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SMS group and Semiotic Labs sign collaboration agreement

Semiotic Labs, a scale-up company based in Leiden, Netherlands, and SMS group have signed an agreement under which the two companies will cooperate in the field of predictive maintenance.

  • News
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The condition monitoring comparison guide

This guide will compare the most popular forms of condition monitoring, and will help you determine the technology that will make your predictive maintenance most effective.

  • e-books
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