International Journal of Control, Automation, and Systems

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Serial Communication-Based Fault Diagnosis of a BLDC Motor Using Bayes Classifier

  • Suh, Suhk-Hoon (Department of Electronics Engineering, Dankook University) ;
  • Woo, Kwang-Joon (Department of Electronics Engineering, Dankook University)
  • Published : 2003.09.01
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Abstract

This paper presents a serial communication based fault diagnosis scheme for a brushless DC (BLDC) motor using parameter estimation and Bayes classifier. The presented scheme consists of a smart network board, and a fault detection and isolation (FDI) master. The smart network board is installed near the BLDC motor drive system to acquire motor data and transmit motor data to the FDI-master via serial communication channel. The FDI-master estimates BLDC motor resistance to detect symptom of faults, and assign symptom to fault type using Bayes classifier. In this scheme, since communication time delay has a serious effect on performance, periodic and fixed communication protocol is designed. Hence, the delay time is priory known. By experiment result, presented scheme was verified.

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References

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