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.
Highlights
In recent decades, more and more applications in industrial, manufacturing, or the transportation domain have been increasingly electrified for efficiency and environmental issues [1,2,3]
To improve the detection in fault detection and the diagnosis process, we propose to combine the statistical features with a Cumulative Sum (CUSUM) analysis
The time series phase currents are used as input data for the Fault Detection and Diagnosis
Summary
More and more applications in industrial, manufacturing, or the transportation domain have been increasingly electrified for efficiency and environmental issues [1,2,3]. In industrial applications using variable-speed AC drives, different studies have proved that about 38% of the faults are due to failures in the power device [11]. These faults can be classified in three classes shown below. We focus on the detection of intermittent faults, which affects the power switches of a three-level NPC inverter feeding a speed controlled induction machine drive. Some efficient detection methods are based on the evaluation of the electrical components in the Park’s transform domain [17] In these works, authors have addressed the detection of abrupt fault with a high severity level.
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