Fault Diagnosis for Engine by Support Vector Machine and Improved Particle Swarm Optimization Algorithm

2014 ◽  
Vol 11 (13) ◽  
pp. 4827-4835 ◽  
Author(s):  
Rongdi Yuan
Keyword(s):  
Support Vector Machine ◽  
Particle Swarm Optimization ◽  
Fault Diagnosis ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Support Vector ◽  
Swarm Optimization ◽  
Improved Particle Swarm Optimization

Fault Diagnosis for Rotator in Rotating Machinery Based on Support Vector Machine

2014 ◽  
Vol 532 ◽  
pp. 102-105
Author(s):  
Wei Niu
Keyword(s):  
Support Vector Machine ◽  
Particle Swarm Optimization ◽  
Fault Diagnosis ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Rotating Machinery ◽  
Support Vector ◽  
Swarm Optimization ◽  
Rotor Winding

As failure of rotator in rotating machinery has a certain concealment, fault diagnosis for rotator in rotating machinery based on support vector machine with particle swarm optimization algorithm is presented in the paper. And particle swarm optimization algorithm is applied to select the suitable parameters of support vector machine. In the study, we employ three PSO-SVM classifiers to recognize the four states of rotator in rotating machinery including normal state, rotor imbalance, rotor winding and rotor misalignment. More than 70 cases are used to testify the effectiveness of the PSO and SVM model compared with other classification models. The experimental results show that diagnostic precision for rotating machinery of PSO and SVM than that of SVM and BPNN.

Sign in / Sign up

Export Citation Format

Share Document