INTER-TURN FAULT DETECTION OF PMSM BASED ON FUZZY LOGIC AND DISCRETE WAVELET TRANSFORM USING UNSUPERVISED CLUSTERING

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KHODASHENAS LIMOUNI VAHID; GHOLAMIAN S. ASGHAR; TAGHIPOUR GORJIKOLAIE MEHRAN

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Paper Information

Journal: JOURNAL OF ADVANCES IN COMPUTER RESEARCH Year:2016 | Volume:7 | Issue:2 (24) Page(s): 69-83

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Title

INTER-TURN FAULT DETECTION OF PMSM BASED ON FUZZY LOGIC AND DISCRETE WAVELET TRANSFORM USING UNSUPERVISED CLUSTERING

Author(s)

KHODASHENAS LIMOUNI VAHID | GHOLAMIAN S. ASGHAR | TAGHIPOUR GORJIKOLAIE MEHRAN | Issue Writer Certificate

Keywords

FAULT DETECTION

FCM

TURN TO TURN FAULT

PMSM

WAVELET TRANSFORM

Abstract

The idea of this paper is designing an automatic FAULT DETECTION system based on fuzzy logic, therefore two signals of PMSM in fault condition are analyzed for inter turn FAULT DETECTION: current and torque. In this fault type there is some distortion in these signals, but it is not good enough to detecting with fuzzy logic solely, so with combination of WAVELET TRANSFORM and FCM a new method for FAULT DETECTION is introduced. In this method one detail signal of WAVELET TRANSFORM is chosen and then with FCM it is divided into 6 clusters, these clusters describe the situation of signal truly. Using FCM has two advantages: first in some clusters there had been fault therefore fault was detected, and second it is used for fuzzy logic system to deciding amount and intensity of fault of PMSM. By applying combination of WAVELET TRANSFORM and FCM, designing of fuzzy logic has been more effective, the MFs are directly come from output of FCM, therefore fuzzy logic system have more accurate answer. The output of fuzzy logic that is showed in surface view is based on tree situation that is defined in output MF, and describes whole conditions of PMSM and shows the amount of inter turn fault.

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APA: Copy

KHODASHENAS LIMOUNI, VAHID, GHOLAMIAN, S. ASGHAR, & TAGHIPOUR GORJIKOLAIE, MEHRAN. (2016). INTER-TURN FAULT DETECTION OF PMSM BASED ON FUZZY LOGIC AND DISCRETE WAVELET TRANSFORM USING UNSUPERVISED CLUSTERING. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 7(2 (24)), 69-83. SID. https://sid.ir/paper/328834/en

Vancouver: Copy

KHODASHENAS LIMOUNI VAHID, GHOLAMIAN S. ASGHAR, TAGHIPOUR GORJIKOLAIE MEHRAN. INTER-TURN FAULT DETECTION OF PMSM BASED ON FUZZY LOGIC AND DISCRETE WAVELET TRANSFORM USING UNSUPERVISED CLUSTERING. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2016;7(2 (24)):69-83. Available from: https://sid.ir/paper/328834/en

IEEE: Copy

VAHID KHODASHENAS LIMOUNI, S. ASGHAR GHOLAMIAN, and MEHRAN TAGHIPOUR GORJIKOLAIE, “INTER-TURN FAULT DETECTION OF PMSM BASED ON FUZZY LOGIC AND DISCRETE WAVELET TRANSFORM USING UNSUPERVISED CLUSTERING,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 7, no. 2 (24), pp. 69–83, 2016, [Online]. Available: https://sid.ir/paper/328834/en

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