摘要详情

ID / 提交时间

196 / 2024-09-01 20:33:57

标题

Doppler Correction Using Short-Time ESPRIT and Angle Interpolation Resamping for Wayside Acoustic Defective Bearing Diganosis

关键字

Angle interpolation resampling (AIR), Doppler effect, microphone array, train bearing, wayside fault diagnosisIntroduction

主题及专题

Special Sessions > SS02 Artificial Intelligence in Condition Monitoring, Fault Diagnosis and Maintenance of Industrial Equipment

状态

全文被拒

作者

Xue wenBao / School of Electrical Enginerring and Automation Anhui University

摘要

Abstract—Trackside acoustic defective system (TADS) plays an important role in monitoring the condition of high-speed train bearings and ensuring their normal operation. However, as the system acquires acoustic signals from a passing train by a fixed microphone array, the acquired signals are severely distorted by the Doppler effect, which is an obstacle to defective bearings detection. This paper proposes a novel scheme by combining a short-time estimation of signal parameters via rotational invariance technique (ESPRIT) and angle interpolation resampling (AIR) to remove the Doppler distortion embedded in the microphone array signals. Two basic steps are included in the proposed scheme. First, the proposed short-time ESPRIT method is performed on the array signals to calculate out the time-varying receiving angle information. Then, the proposed AIR method is conducted to correct the distorted signal. Compared with the traditional schemes, the proposed scheme is simple and hardly needs prior knowledge, which is expected to be applied in the ADBD system. The proposed scheme is verified by means of simulation and practical studies. Results indicate that it has superior performance to remove the Doppler distortion and has obvious advantages for the ADBD system.