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1. (WO2017041391) METHOD OF PERFORMING QUANTITATIVE ASSESSMENT ON RELIABILITY OF SWITCHING RELUCTANCE MOTOR SYSTEM USING FIRST-ORDER MARKOV MODEL

Pub. No.:    WO/2017/041391    International Application No.:    PCT/CN2015/099101
Publication Date: Fri Mar 17 00:59:59 CET 2017 International Filing Date: Tue Dec 29 00:59:59 CET 2015
IPC: G01R 31/34
Applicants: CHINA UNIVERSITY OF MINING AND TECHNOLOGY
中国矿业大学
Inventors: CHEN, Hao
陈昊
XU, Shuai
徐帅
DONG, Jinlong
董金龙
WANG, Xing
王星
Title: METHOD OF PERFORMING QUANTITATIVE ASSESSMENT ON RELIABILITY OF SWITCHING RELUCTANCE MOTOR SYSTEM USING FIRST-ORDER MARKOV MODEL
Abstract:
A method of performing an assessment analysis on reliability of a switching reluctance motor system using a first-order Markov model is suitable for evaluating the reliability of the switching reluctance motor system. The method comprises: obtaining a state transition diagram with respect to the system having a first-order misoperation by setting 17 possible first-order misoperations which could occur at the switching reluctance motor system to be equivalent to 5 Markov states; establishing a state transition matrix with respect to the first-order misoperations; solving a probability matrix P(t) for the switching reluctance motor system operating in a valid state; computing a sum of all elements in a valid state probability matrix P(t); obtaining a reliability function R(t) of the switching reluctance motor system; and computing, according to the reliability function R(t), an average misoperation period of the switching reluctance motor system. Therefore, the embodiment can realize reliability evaluation of the switching reluctance motor system using a first-order Markov model, providing a favorable value in engineering applications.