AC motor fault diagnosis based on symmetrized dot pattern images feature extraction using vibrational signal
Song Xuewei, Liao Zhiqiang, Tang Haihong, Ziye Fang, Ho Jinyama · The Proceedings of the Symposium on Evaluation and Diagnosis · 2019
Aiming at the diagnosis of AC motor fault, a recognition method based on symmetrized dot pattern (SDP) images is proposed. The method converts the vibration signal into a visualization image, which better highlights the difference between faults, facilitates the extraction of fault characteristics, and improves the correlation coefficient for fault diagnosis. In this paper, a SDP method is introduced to analyze the vibration signals of the AC motor under normal and four fault states, and the fault diagnosis is realized by the correlation coefficient between the SDP images. The experimental results show that the proposed method can effectively extract the fault characteristics and greatly improve the recognition rate, thus achieving accurate diagnosis of AC motor faults.