The Study of Fault Diagnosis Based on Particle Swarm Optimization Algorithm


  •  Qinming Liu    
  •  Wenyuan Lv    

Abstract

Diesel is a very complex system. Subsystems and components of diesel will be failure, between failure symptoms and causes have many uncertain factors. In view of this situation, fault diagnosis method based on PSO algorithm is presented. The effectiveness of this method is proved with an example of diesel system.



This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1913-8989
  • ISSN(Online): 1913-8997
  • Started: 2008
  • Frequency: semiannual

Journal Metrics

WJCI (2022): 0.636

Impact Factor 2022 (by WJCI):  0.419

h-index (January 2024): 43

i10-index (January 2024): 193

h5-index (January 2024): N/A

h5-median(January 2024): N/A

( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )

Index

Contact