A dual-microphone-based active noise reduction method for trackside acoustic signals of train bearings

Abstract

The invention discloses a dual-microphone-based active noise reduction method for train bearing railside acoustic signals. Two microphones are placed beside the railroad track. On the same vertical line, the dual microphones simultaneously collect the sound from the wheel-set bearings, wheel-rail contact noise and background noise. Then, the signals collected by the reference microphones are demodulated and remodulated, so that the Doppler distortion rules of the noise signals collected by the two microphones are consistent. Finally, the least mean square algorithm is used to complete the active noise reduction of the acoustic signal of the train bearing trackside. The invention adopts dual microphones to realize the denoising of the acoustic signal of the train bearing rail, has the advantages of using less microphones, can eliminate in-band noise, and self-adaptive active noise reduction, and can effectively improve the signal-to-noise ratio of the acoustic signal of the train bearing rail . The invention can be used for acoustic fault diagnosis of train bearing rail edge.

Description

Technical field [0001] The invention belongs to the field of high-speed train bearing fault diagnosis, and in particular relates to a dual-microphone-based active noise reduction method for train bearing railside acoustic signals. Background technique [0002] As an important transportation tool worldwide, the safe operation of trains is directly related to the safety of property and the lives of passengers. As a key component of the train, real-time monitoring and diagnosis of its health status is particularly important for wheel-set bearings. The trackside acoustic diagnosis technology uses microphones placed on both sides of the rail to collect the sound signals emitted by the bearing when the train passes, and obtains the bearing health information through signal processing. However, since the sound signal emitted by the bearing in the early stage of failure is relatively weak, it is often submerged by noise, which brings difficulties to accurate diagnosis. In the rail-side ...

AI Technical Summary

Problems solved by technology

In the field of signal processing, traditional digital filtering technology is difficult to eliminate in-band noise, and it is easy to cause distortion of target sound source information, and the denoising effect needs to be further improved

On the other hand, the existing array scheme uses a large number of microphones, the array signal processing algorithm is complex, and the directional filter used has side lobes, and the denoising effect needs to be improved

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