Invention Grant
- Patent Title: Quantitative evaluation method for reliability of Markov model switched reluctance motor system
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Application No.: US14906412Application Date: 2014-08-22
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Publication No.: US10393811B2Publication Date: 2019-08-27
- Inventor: Hao Chen , Xing Wang , Yuxiang Chen , Huan Yang
- Applicant: China University of Mining and Technology
- Applicant Address: CN Xuzhou, Jiangsu
- Assignee: CHINA UNIVERSITY OF MINING AND TECHNOLOGY
- Current Assignee: CHINA UNIVERSITY OF MINING AND TECHNOLOGY
- Current Assignee Address: CN Xuzhou, Jiangsu
- Agency: TraskBritt
- Priority: CN201310608976 20131126
- International Application: PCT/CN2014/084964 WO 20140822
- International Announcement: WO2015/078205 WO 20150604
- Main IPC: G01R31/34
- IPC: G01R31/34

Abstract:
A quantitative evaluation method for the reliability of a Markov model switched reluctance motor system. The method comprises: solving a probability matrix P′T(t) of a switched reluctance motor system being in any survival state at any time t via a state conversion diagram of the switched reluctance motor system; calculating the sum of various elements of the probability matrix P′T(t) of the survival state, so that a reliability function R(t) is obtained; and thus calculating the average working time of the switched reluctance motor system before failure, thereby realizing the quantitative evaluation of the switched reluctance motor system and satisfying the requirements for the reliability analysis of a switched reluctance motor drive system. This disclosure has a good engineering application value.
Public/Granted literature
- US20160161561A1 QUANTITATIVE EVALUATION METHOD FOR RELIABILITY OF MARKOV MODEL SWITCH RELUCTANCE MOTOR SYSTEM Public/Granted day:2016-06-09
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