| Title |
Fault Diagnosis of Induction Motor by Fusion Algorithm based on PCA and LDA |
| Authors |
Byeong-Seok Jeon ; Dae-Jong Lee ; Sang-Hyuk Lee ; Jeong-Woong Ryu ; Myung-Geun Chun |
| Keywords |
induction motor ; fault diagnosis ; fusion algorithm ; PCA ; LDA |
| Abstract |
In this paper, we propose a diagnosis algorithm using fusion model based on PCA and LDA to detect fault states of the induction motor that is applied to various industrial fields. After yielding a feature vector from the current value measured by an experiment using PCA and LDA, training data is made to produce each matching value. In a diagnostic step, two matching values yielded by PCA and LDA are fused by probability model and finally verified. Since the proposed diagnosis algorithm takes only merits of PCA and LDA, it shows excellent results under noisy environments. The simulation results to verify the usability of the proposed algorithm showed better performance than the case just using conventional PCA or LDA. |