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Creating Self-aware Low-Voltage Electromagnetic Coils for Incipient Insulation Degradation Monitoring for Smart Manufacturing
Author: Update times: 2018-12-25                          | Print | Close | Text Size: A A A

The degradation of key components of production equipment can have adverse effects on manufacturing, such as unexpected machine shutdown and product quality decline. Implementing self-aware component by prognostics and health management (PHM) based cyber-physical systems (CPS) are promising technologies that can address this problem. Considering that electromagnetic coils are fundamental energy conversion and transformation components of a variety of machines, like electric motors and solenoid valves, and their insulation failure can cause catastrophic effects, a precursor-based prognostics method is proposed in this paper to create self-aware low-voltage electromagnetic coils for incipient insulation degradation monitoring. Sensory data to insulation health information conversion and component-cyber interface development for integrating insulation health information to cyber space are described, which present opportunities for developing transparency and thus predictive maintenance of machines that incorporate electromagnetic coils.

 

This work was published on IEEE Access,6,69860-69868. titled  Creating Self-aware Low-Voltage Electromagnetic Coils for Incipient Insulation Degradation Monitoring for Smart Manufacturing.

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