Three-Level NPC Inverter Incipient Fault Detection and Classification using Output Current Statistical Analysis

Mehdi Baghli, Claude Delpha, Demba Diallo, Abdelhamid Hallouche, David Mba and Tianzhen Wang
Additional contact information
Mehdi Baghli: Laboratoire IRECOM, University Djillali Liabès, 22000 Sidi Bel Abbes, Algeria
Claude Delpha: L2S, UMR 8506, CNRS, CentraleSupélec, Univ. Paris Sud, Université Paris Saclay, 91190 Saint-Aubin, France
Demba Diallo: GeePs, UMR 8507, CNRS, CentraleSupélec, Univ. Paris Sud, Université Paris Saclay, Sorbonne Univ, 75006 Paris, France
Abdelhamid Hallouche: Laboratoire IRECOM, University Djillali Liabès, 22000 Sidi Bel Abbes, Algeria
David Mba: Faculty of Computer Engineering and Media, De Montfort University, Leicester LE1 9BH, UK
Tianzhen Wang: Shanghai Maritime University, Department of Electrical Automation, Shanghai 201306, China

Energies, 2019, vol. 12, issue 7, 1-20

Abstract: This paper deals with open switch Fault Detection and Diagnosis (FDD) in three-level Neutral Point Clamped (NPC) inverter for electrical drives. The approach is based on the already available phase current time series measurements for different operating conditions (motor speed, load, and environment noise). Both fault detection and classification are studied and the efficiency performances of the proposed selected features are shown. For the fault detection, we focus on the first four statistical moments and the extracted features and then the Cumulative Sum (CUSUM) algorithm as the feature analysis technique to improve the performances. For the classification study, we propose to couple the knowledge on the faulty system brought by the statistical moments and the Kullback-Leibler divergence particularly suitable for the detection of incipient changes. The Principal Component Analysis (PCA) is then used to perform the classification. A 2D framework is obtained, which allows the faults to be classified efficiently within the considered operating conditions for all the selected fault durations.

Keywords: three-level neutral point clamped (NPC) inverter; open switch fault (OSF); intermittent fault monitoring; incipient fault detection and diagnosis (FDD); cumulated sum (CUSUM); kullback-Leibler divergence (KLD); principal component analysis (PCA) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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