WCSE

Fault Diagnosis of Axial Fan through Acoustic Signal Analysis

Abstract— Acoustic signal contains the characteristics of the structural vibration of the fan, and therefore can be used for its fault diagnosis. A method is proposed to detect the fault of the fan in non-stop state by analyzing its acoustic signal. The acoustic signal model is developed according to the relationship between acoustic signal and structural vibration, and the acoustic characteristics in Fourier spectrum of the axial flow fan is derived combined with the model. The theoretical analysis is validated through the field test, and the shaft misalignment fault is diagnosed. It provides new ideas for fan fault diagnosis under complex working conditions.

Index Terms— fan, acoustic signal, fault diagnosis, spectrum, characteristic frequency.

Zhuoyi Zhou
Shaoxing Shangyu Institute of Quality Inspection and Metrology Testing
Honghai Xu
Shaoxing Shangyu Institute of Quality Inspection and Metrology Testing
Jing Li
China Coast Guard Academy
Keming Qiu
Shaoxing Shangyu Institute of Quality Inspection and Metrology Testing
Jing Zhang
Shaoxing Shangyu Institute of Quality Inspection and Metrology Testing
Junchi Chen
Shaoxing Shangyu Institute of Quality Inspection and Metrology Testing

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Cite: Zhuoyi Zhou, Honghai Xu, Keming Qiu, Jing Zhang, Junchi Chen, " Fault Diagnosis of Axial Fan through Acoustic Signal Analysis, " WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications, pp. 1641-1646, Sanya, China, April 15-18, 2022.