mechmine predictive maintenance

mechmine predictive maintenance

about us

Mechmine processes machine data from plants like vibrations. It combines and exploits advanced digital signal processing and machine learning/AI techniques. Since we partially rely on AI only, we do not need huge amounts of training data of defects. We operate our own testbenches to produce vibration data of defective bearings. Our algorithms can deal with data from very slow running machines and variable speed shafts also. Our retrofit mmBox hardware is more sensitive, sees further and wider than others and contains anomaly detection also. Our tool mmViewer offers unique trend charts, automatic diagnosis, Click & Run (automated monitoring & alarm threshold setting), is safe thanks to special system architecture, presents intuitive results and is user friendly (results and graphs interpretable by anyone). Finally, we are independent and transparent, have no affiliation to any third party.

products

mmBasebox

mmBasebox

Standard data acquisition hardware for vibration analysis is less attractive for monitoring smaller power classes, e.g. machines below 300 kW. The mmBasebox is suited for monitoring such machines economically. The

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mmViewer

mmViewer

Cloud-based machine monitoring service mmViewer for bearings and gears/drives enables – judging the health of bearings and gears of rotating machines by analysing the vibration data in person – monitoring

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LS100 Loadsensor

LS100 Loadsensor

Retrofit sensor for safe data collection of power information Advanced Condition Monitoring and Predictive Maintenance software tools rely today on artificial intelligence (AI) or machine learning methods, and consequently on

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IEPEMULATOR

IEPEMULATOR

Problem: generating signals for testing cables or Edge-Devices without the need for an IEPE sensor or shaker Application: testing vibration monitoring signal chains from the sensor onwards Purpose: IEPE sensor

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mmBox Mk.2

mmBox Mk.2

Edge-Device for high-rate high-quality data acquisition and real-time monitoring 8/16-channels for vibration sensors 12 temperature channels 2 RPM channels 4 types of alarms configured via Mechmine’s cloud-based monitoring service mmViewer

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