Optimized Neural Network Based Predictive Maintenance for Five-Phase Induction Motor Failure

Utkal Ranjan Muduli; Khaled Al Jaafari; Ranjan Kumar Behera

doi:10.1109/ECCE-Asia49820.2021.9478989

Optimized Neural Network Based Predictive Maintenance for Five-Phase Induction Motor Failure

Utkal Ranjan Muduli
, Khaled Al Jaafari
, Ranjan Kumar Behera

Electrical Engineering

Indian Institute of Technology Patna

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

41 Scopus citations

Abstract

Predictive maintenance of multiphase machines has become a vital issue in Industry 4.0 as it has higher reliability and fault tolerant capability. This paper suggests the use of Particle Swarm Optimization and Spiral Dynamics Algorithm to optimize the Artificial Neural Network based failure model for Five Phase Induction Motor drive. An experimental verification has been carried out to investigate the effectiveness of the proposed scheme.

Original language	British English
Title of host publication	Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1537-1541
Number of pages	5
ISBN (Electronic)	9781728163444
DOIs	https://doi.org/10.1109/ECCE-Asia49820.2021.9478989
State	Published - 24 May 2021
Event	12th IEEE Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021 - Virtual, Singapore, Singapore Duration: 24 May 2021 → 27 May 2021

Publication series

Name	Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021

Conference

Conference	12th IEEE Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021
Country/Territory	Singapore
City	Virtual, Singapore
Period	24/05/21 → 27/05/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1109/ECCE-Asia49820.2021.9478989

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Muduli, U. R., Al Jaafari, K., & Behera, R. K. (2021). Optimized Neural Network Based Predictive Maintenance for Five-Phase Induction Motor Failure. In Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021 (pp. 1537-1541). Article 9478989 (Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE-Asia49820.2021.9478989

Muduli, Utkal Ranjan ; Al Jaafari, Khaled ; Behera, Ranjan Kumar. / Optimized Neural Network Based Predictive Maintenance for Five-Phase Induction Motor Failure. Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 1537-1541 (Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021).

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abstract = "Predictive maintenance of multiphase machines has become a vital issue in Industry 4.0 as it has higher reliability and fault tolerant capability. This paper suggests the use of Particle Swarm Optimization and Spiral Dynamics Algorithm to optimize the Artificial Neural Network based failure model for Five Phase Induction Motor drive. An experimental verification has been carried out to investigate the effectiveness of the proposed scheme.",

author = "Muduli, \{Utkal Ranjan\} and \{Al Jaafari\}, Khaled and Behera, \{Ranjan Kumar\}",

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Muduli, UR, Al Jaafari, K & Behera, RK 2021, Optimized Neural Network Based Predictive Maintenance for Five-Phase Induction Motor Failure. in Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021., 9478989, Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021, Institute of Electrical and Electronics Engineers Inc., pp. 1537-1541, 12th IEEE Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021, Virtual, Singapore, Singapore, 24/05/21. https://doi.org/10.1109/ECCE-Asia49820.2021.9478989

Optimized Neural Network Based Predictive Maintenance for Five-Phase Induction Motor Failure. / Muduli, Utkal Ranjan; Al Jaafari, Khaled; Behera, Ranjan Kumar.
Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 1537-1541 9478989 (Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Predictive maintenance of multiphase machines has become a vital issue in Industry 4.0 as it has higher reliability and fault tolerant capability. This paper suggests the use of Particle Swarm Optimization and Spiral Dynamics Algorithm to optimize the Artificial Neural Network based failure model for Five Phase Induction Motor drive. An experimental verification has been carried out to investigate the effectiveness of the proposed scheme.

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Muduli UR, Al Jaafari K, Behera RK. Optimized Neural Network Based Predictive Maintenance for Five-Phase Induction Motor Failure. In Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 1537-1541. 9478989. (Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021). doi: 10.1109/ECCE-Asia49820.2021.9478989

Optimized Neural Network Based Predictive Maintenance for Five-Phase Induction Motor Failure

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