Application of Chaotic Particle Swarm Optimization Algorithm in Remote Fault Detection of Electrical System

With the development of social economy, the industrial field has entered the era of automation control. Due to the complexity and uncertainty in the industrial environment, electrical system failures are becoming increasingly frequent. In this paper, a common fault and the application of remote PLC...

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Bibliographic Details
Published in2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC) pp. 1 - 5
Main Authors Zhang, Zhexi, Sun, Mengting
Format Conference Proceeding
LanguageEnglish
Published IEEE 16.06.2023
Subjects
chaotic particle swarm optimization algorithm
common faults
Condition monitoring
electrical system failure
Fault detection
Fault diagnosis
Maintenance engineering
Process control
Production
remote PLC detection
Uncertainty
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DOI10.1109/ICAISC58445.2023.10199809

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Summary:With the development of social economy, the industrial field has entered the era of automation control. Due to the complexity and uncertainty in the industrial environment, electrical system failures are becoming increasingly frequent. In this paper, a common fault and the application of remote PLC detection combined with chaotic particle swarm optimization algorithm formula in electrical system fault can show the problems and solutions. However, the realization of remote PLC detection shows that necessary condition monitoring and fault diagnosis are carried out to ensure the life safety of staff and the reliable, normal and university operation of equipment. Finally, this article mainly analyzes the three types of data detected by remote PLC for electrical system faults
DOI:10.1109/ICAISC58445.2023.10199809