Zhao, X.; Lu, Y.; Chang, B.; Chen, L. Study on the Extraction Method for Track-Side Acoustic Features Based on Cyclic Stationary Analysis. Machines2023, 11, 957.
Zhao, X.; Lu, Y.; Chang, B.; Chen, L. Study on the Extraction Method for Track-Side Acoustic Features Based on Cyclic Stationary Analysis. Machines 2023, 11, 957.
Zhao, X.; Lu, Y.; Chang, B.; Chen, L. Study on the Extraction Method for Track-Side Acoustic Features Based on Cyclic Stationary Analysis. Machines2023, 11, 957.
Zhao, X.; Lu, Y.; Chang, B.; Chen, L. Study on the Extraction Method for Track-Side Acoustic Features Based on Cyclic Stationary Analysis. Machines 2023, 11, 957.
Abstract
Due to the non-contact measurement characteristics of trackside acoustic technology, it is now utilized for train bearing fault diagnosis. However, the relative motion between the train and the trackside acoustic detection device introduces Doppler aberration in the collected acoustic signal, which affects bearing fault diagnosis. Moreover, when a fault occurs in the train bearing, its acoustic signal exhibits cyclic smoothness characteristics that can be effectively analyzed using the cyclic smoothness method for more accurate judgment. In order to minimize diagnostic errors and enhance accuracy in bearing fault diagnosis, this study integrates bearing fault characteristics with Doppler aberration correction methods and cyclic smoothness techniques for current-stage bearings diagnostics. The overall time-domain graph becomes more compact with an approximately 50% increase in amplitude after correction compared to pre-correction values; other parameters experience enhancements ranging from 20-60%. These results validate the feasibility of our proposed approach and establish a framework for conducting bearing fault diagnosis based on cyclically smoothed Doppler aberration correction.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
