Feature extraction of Wiener kernel fault diagnosis based on improved particle swarm annealing hybrid optimization algorithm

Ifost ◽  
2013 ◽  
Author(s):  
Haijun Lin ◽  
Xiujie An ◽  
Yufei Zhang ◽  
Suting Wang
Keyword(s):  
Feature Extraction ◽  
Fault Diagnosis ◽  
Optimization Algorithm ◽  
Particle Swarm ◽  
Hybrid Optimization ◽  
Hybrid Optimization Algorithm ◽  
Wiener Kernel

scholarly journals Hybrid Optimization Algorithm of Particle Swarm Optimization and Cuckoo Search for Preventive Maintenance Period Optimization

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Jianwen Guo ◽  
Zhenzhong Sun ◽  
Hong Tang ◽  
Xuejun Jia ◽  
Song Wang ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Preventive Maintenance ◽  
Particle Swarm ◽  
Cuckoo Search ◽  
Hybrid Optimization ◽  
Normal Operation ◽  
Maintenance Period ◽  
Swarm Optimization ◽  
Hybrid Optimization Algorithm

All equipment must be maintained during its lifetime to ensure normal operation. Maintenance is one of the critical roles in the success of manufacturing enterprises. This paper proposed a preventive maintenance period optimization model (PMPOM) to find an optimal preventive maintenance period. By making use of the advantages of particle swarm optimization (PSO) and cuckoo search (CS) algorithm, a hybrid optimization algorithm of PSO and CS is proposed to solve the PMPOM problem. The test functions show that the proposed algorithm exhibits more outstanding performance than particle swarm optimization and cuckoo search. Experiment results show that the proposed algorithm has advantages of strong optimization ability and fast convergence speed to solve the PMPOM problem.

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