| Title |
Embedded Type Real-Time Fault Diagnosis for BLDC Motors |
| Authors |
Jin-Il Park ; Yong-Min Kim ; Dae-Jong Lee ; Jae-Hoon Cho ; Myung-Geun Chun |
| Keywords |
BLDC Motor ; Fault Diagnosis ; Embedded ; PCA |
| Abstract |
In this paper, we propose a fault diagnosis algorithm for BLDC motors by principle component analysis (PCA) and implement a real-time fault diagnosis system for BLDC motors. To verify the proposed diagnosis algorithm, various faulty data are acquired by LabVIEW program from experimental system. We extract a fault feature using principle component analysis after preprocessing and then finally the fault diagnosis is performed by Euclidean similarity. Also, we embed the PCA algorithm and k-NN classification algorithm into a digital signal processor. From various experiments, we found that the proposed algorithm can be used as a powerful technique to classify the several fault signals acquired from BLDC motors. |