@inproceedings{64655c3727b34a34a7a5fb37dc0508b6,
title = "Optimized Neural Network Based Predictive Maintenance for Five-Phase Induction Motor Failure",
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}",
note = "Funding Information: This work is partially supported by the research grant RC2-2018-06, Advanced Power and Energy Center (APEC), Khalifa University, Abu Dhabi, United Arab Emirates. Publisher Copyright: {\textcopyright} 2021 IEEE.; 12th IEEE Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021 ; Conference date: 24-05-2021 Through 27-05-2021",
year = "2021",
month = may,
day = "24",
doi = "10.1109/ECCE-Asia49820.2021.9478989",
language = "British English",
series = "Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1537--1541",
booktitle = "Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021",
address = "United States",
}
