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

被引:8
|
作者
Muduli, Utkal Ranjan [1 ]
Al Jaafari, Khaled [2 ]
Behera, Ranjan Kumar [1 ]
机构
[1] Indian Inst Technol Patna, Dept Elect Engn, Patna, Bihar, India
[2] Khalifa Univ, EECS Dept, APEC, Abu Dhabi, U Arab Emirates
关键词
D O I
10.1109/ECCE-Asia49820.2021.9478989
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:1537 / 1541
页数:5
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