Distributed intelligent fault diagnosis system based on particle filter

Abstract

In view of the shortcomings of traditional fault diagnosis system in accuracy, robustness and too complicated recognition algorithm, the distributed intelligent fault diagnosis system is presentation based on ZigBee technology and particle filter. Multi variable data's acquisition and centralized treatment is realized through the wireless sensor network, and the accurate estimation of the state of monitored objects and intelligent prediction of faults is based on the particle filtering algorithm. The system can achieve the real-time remote monitoring and fault prediction, meanwhile, effectively enhance applicable scope and diagnostic level of the fault diagnosis system.