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An Three-Level Active NPC Inverter Open-Circuit Fault Diagnosis Using SVM and ANN

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Intelligent Sustainable Systems

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 458))

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Abstract

This paper has come up with a combination of Support Vector Machine (SVM) and Artificial Neural Network (ANN) for fault diagnosis of a single battery and inverter switch fault of an three-level active neutral-point clamped (ANPC) inverter. Moreover, a 3L-ANPC inverter is capable of gaining the EV’s controllability in the power train and need not have to halt even after the occurrence of the fault. Hence, an efficient fault diagnosis methodology is required in which battery fault is identified by an SVM which is a machine learning model that consists of sets of labeled training data with regression and classification challenges. Finally, when the fault arises in the ANPC inverter, the location of faulty switch can be identified by an ANN which determines the weights and threshold of the ANN and thus reduces the training time with increase in efficiency and accuracy.

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Abbreviations

NPC:

Neutral-Point Clamped Inverter

3L-NPC:

Three-Level Neutral-Point Clamped Inverter

SVM:

Space Vector Modulation

ANPC:

Active Neutral-Point Clamped Inverter

MLI:

Multi-Level Inverters

IPMSM:

Interior Permanent Magnet Synchronous Machine

NPPF:

Neutral-Point Potential Fluctuation

JADE:

Joint Approximative Diagonalization of Eigen matrix

ICA:

Independent Component Analysis

NN:

Neural Network

CBM:

Carrier-Based Modulation

SVPWM:

Space Vector Pulse Width Modulation

IZSV:

Injected Zero Sequence Voltage

DPWM:

Discontinuous PWM

PMSM:

Permanent Magnet Synchronous Motor

PWM:

Pulse Width Modulation

CB-PWM:

Carrier-Based PWM

SVPWM:

Space Vector PWM

SHE:

Selective Harmonic Elimination

SiC:

Silicon-Carbide

IGBT:

Insulated Gate Bipolar Transistor

SVM:

Support Vector Machine

ANN:

Artificial Neural Network

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, School of Electrical Sciences, Hindustan Institute of Technology and Science, Chennai, 603 103, India

    P. Selvakumar & G. Muthukumaran

Authors
  1. P. Selvakumar
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  2. G. Muthukumaran
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Correspondence to P. Selvakumar .

Editor information

Editors and Affiliations

  1. Gnanmani College of Engineering and Technology, Namakkal, India

    Jennifer S. Raj

  2. Department of Computer Science, Kennesaw State University, Kennesaw, GA, USA

    Yong Shi

  3. Faculty of Communication Sciences, University of Teramo, Teramo, Italy

    Danilo Pelusi

  4. Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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Selvakumar, P., Muthukumaran, G. (2022). An Three-Level Active NPC Inverter Open-Circuit Fault Diagnosis Using SVM and ANN. In: Raj, J.S., Shi, Y., Pelusi, D., Balas, V.E. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 458. Springer, Singapore. https://doi.org/10.1007/978-981-19-2894-9_33

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