Research on Intelligent Fault Diagnosis Technique of Complex Equipment

Rui Zhu; Ming Ji Huang; Guo Bao Ding; Shuai Jia

doi:10.4028/www.scientific.net/AMR.945-949.1098

Paper Titles

Research on Temperature Stress for Contacts Reliability of Electric Connector
p.1082

Fatigue Life Assessment of a Ship Unloader Crane
p.1086

Signal Acquisition and Analysis of Shaft Unbalance Vibration Test
p.1090

Failure Risk Evaluation of Security System Based on Fuzzy FTA
p.1094

Research on Intelligent Fault Diagnosis Technique of Complex Equipment
p.1098

An On-Line Condition Monitoring System for Oil Film Bearings of Cold Rolling Mill
p.1102

Design and Implementation of Knowledge System of Wireless Communication Equipment Fault Diagnosis
p.1108

Variable Speed Estimation for Wheel-Bearings with STFT and BP Neural Network
p.1112

Reliability Analysis of Cold Standby Compound System
p.1116

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Research on Intelligent Fault Diagnosis Technique of Complex Equipment

Abstract:

Aiming at the actual demand of complex equipment fault diagnosis, this paper made the fault intelligent diagnosis technology of a certain type of equipment as research object, analyzed the characteristics of equipment and its faults, presented four strategy to solve the problem: Circuit-decomposition, the decision tree, confirm key component using FMECA and establish model by PSPICE.And proving it by actual circuit.