Condition monitoring system
Get full machine drivetrain insights. Anytime, anywhere.
Run your machines how they should be running with real-time data on the status of the most important parts of the drivetrain. We help you:
- Prevent unexpected machine failure
- Eliminate routine maintenance
24/7 condition monitoring
Start by knowing the status of your machines. In real-time.
Through machine learning and electrical signature analysis, SAM4 offers superior fault detection accuracy: over 90% of failures—both mechanical and electrical—up to 5 months in advance. SAM4’s sensors install inside the motor control cabinet, not on the asset in the field, making hazards and location no barrier for installation.
Predictive maintenance
With SAM4 you plan maintenance, but only when it's needed
Have your maintenance team get alerts about an upcoming fault, the type of fault, and recommended next actions depending on the urgency of the fault.
- Predict 9 out of 10 failures in advance
- Easy and quick install inside the motor control cabinet
Real-time analytics
All metrics that matter.
One dashboard.
SAM4 Health is an AI-powered real-time analytics platform to know in advance when a machine is unhealthy.
Want to use your own systems? Connect to SAM4 through API.
- Easy to use dashboard
- Experienced and dedicated customer success team
Product features
For industrial companies running their machines how they should be running
AI-powered predictive alerts
Get alerts to know in advance when a failure develops
Get alerts on specific upcoming failures weeks to months in advance. These are categorized by type of fault and come with concrete next actions based on level of urgency.
Energy performance optimization
Improve pump operation with real-time performance data
Use SAM4’s real-time pump curve to correct a pump that’s operating outside of its best efficiency point to prevent days or weeks of silent cavitation, recirculation, seal leakage and other problems. Use historical data to permanently raise performance and energy efficiency.
Reduce energy waste by 5-35%
Cut machine energy waste and emissions
SAM4 includes full power quality and energy analysis for every asset type without the need for additional sensors. SAM4 electrical trends to help you permanently reduce your energy consumption.
Concrete advice to improve
Get insight updates from our support team
Get ongoing personal attention by our team of industry experts, data scientists and maintenance consultants with insight reports. You’ll also receive regular insight reports from our support team to help you make the most of all our features.
Don't take our word for it.
Hear from our customers instead.
Via phone, video call or in person
Get a 30-minutes no-obligation demo at a time of your choosing
Get a 30-minute no-obligation demo at a time of your choosing, over the phone, via web call or in person (whichever is easiest for you).
What to expect:
- a demonstration of the features that are relevant to your team.
- advice on how Samotics can increase both the uptime and energy efficiency of your industrial assets.
- an indication of the costs for your organization and use case.
Need more info? Read FAQ →
FAQ
Answers to questions
What is condition monitoring?
Condition monitoring is an important tool in the predictive maintenance of machines. By collecting and analyzing 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 techniques were mostly based around vibration analysis, but more modern, innovative techniques focus on ESA (electrical signature analysis).
What is electrical signature analysis (ESA)?
ESA stands for electrical signature analysis. Where other condition monitoring technologies analyze vibrations or oil or temperature, ESA analyzes current and voltage.
It’s a close cousin to motor circuit analysis, or MCA. The difference is that ESA is performed while the machine is running (or “online”), while MCA is performed while the machine is deenergized (“offline”).
Electrical signature analysis is based on the fact that subtle changes in a machine’s operation affect the connected motor’s magnetic field, which then affects the supply voltage and operating current. (For this reason, ESA works equally well on generators.) Using a variety of analytical techniques, ESA can provide a detailed picture of what’s going on across the entire drive train, from motor to transmission to load.
What is SAM4?
SAM4 analyzes current and voltage sinewaves to provide insights into the condition and performance of electric motors and rotating equipment. It can detect mechanical and electrical failures that occur throughout the drivetrain. The technology is based on Electrical Signature Analysis (ESA) and the hardware is installed inside the motor control cabinet (MCC), not on the asset itself.
SAM4 has three distinct benefits that jointly drive value add:
- Truly remote monitoring
- Detects mechanical and electrical failures
- Delivers performance and optimisation insights
What is SAM4 Health?
SAM4 Health
SAM4 Health is a system to help you prevent unexpected machine failure by detecting electrical and mechanical faults through analysis of current and voltage signals.
Through machine learning and electrical signature analysis, SAM4 offers superior fault detection accuracy: over 90% of failures—both mechanical and electrical—up to 5 months in advance.
SAM4’s sensors install inside the motor control cabinet, not on the asset in the field, making hazards and location no barrier to reliable asset monitoring.
What is SAM4 Energy?
SAM4 Energy
SAM4 Energy is a system that helps you reduce machine energy waste and cut emissions to reach your net zero goals faster.
SAM4 Energy is the world’s first continuous monitoring system for industrial machine efficiency. Our world leading analytics platform diagnoses the causes of energy inefficiency in industrial assets and provides concrete action points to improve on.
How does SAM4 work?
SAM4 generates high frequency measurements from inside the motor control cabinet (MCC). The current and voltage measurements are ‘translated’ into a frequency spectrum. In order to detect upcoming failures, different measurements are compared. Deviation from the ‘normal pattern’ may indicate upcoming failures.
ESA can detect and localize mechanical faults in diverse parts of the connected asset.
What makes SAM4 unique?
- Predictive alerts: get alerts on specific upcoming failures weeks to months in advance.
- Energy insights suite: SAM4 has a full energy insights suite, that can help customers cut energy cost significantly.
- Frequency of measurements: 20.000 times per second (20khz sampling).
- Dedicated asset onboarding portal: dedicated co-creation environment for storing relevant information, tracking onboarding process, etc.
- API availability: plug into any existing infrastructure with push/pull APIs for both raw and analyzed data.
- Most elaborate library of fingerprints available.
- Automated early clogging alerting: dedicated algorithms available.
- Real-time pump curve feature: real-time insight into pump operations vs BEP.
- Using a combination of edge and cloud analytics.
- Using AI and Machine Learning.
- ISO9001 and ISO27001 certified.
- Detects electrical and mechanical failures.
Does Samotics offer self-service?
No, SAM4 is only provided with a MaaS subscription (Monitoring as a Service).
Self-service is not available for SAM4.
How does electrical signature analysis compare to vibration analysis?
Electrical signature analysis (ESA)
- Detects electrical and mechanical failures.
- Focus: misalignment, unbalance, cavitation.
- Broader failure detection capability - ESA highly suitable for root cause analysis
- Minor electrical / mechanical issues picked up at a very early stage before real damage occurs
- ESA can detect grid supply issues
- Extensive real-time operational insights into energy usage and asset performance optimization
Vibration analysis
- Best suited for mechanical failures
- Vibration is better suited for bearing damage
- Limited failure detection capability - vibration analysis detects symptoms
- Issues are only picked up after they have developed to a certain stage
- Vibration cannot detect any electrical issues originating from power quality
- Limited insights into energy usage and asset performance optimization
Why should you combine electrical signature analysis and vibration analysis?
- ESA and vibration can provide full electrical and mechanical coverage for an asset.
- The value of utilizing both techniques depends on frequency of analysis used for either technique (i.e., continuous vs. periodic).
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Example of ideal setup:
▪ Continuous ESA as a “trigger ” to perform a detailed, manual, vibration analysis.
▪ ESA provides a level of priority to investigate the mechanical condition using vibration analysis.
