Blind separation of rotor vibration signals in high-noise environments

TL;DR

This paper introduces a novel method for separating rotor vibration signals in high-noise environments using de-noising and blind separation algorithms, enhancing engine health monitoring and fault diagnosis.

Contribution

It proposes a combined de-noising and blind separation approach specifically designed for high-noise rotor vibration signals, improving separation accuracy in challenging conditions.

Findings

Effective separation in SNR=-5 environment

Improved vibration signal clarity for fault diagnosis

Validated through simulation results

Abstract

During the operation of the engine rotor, the vibration signal measured by the sensor is the mixed signal of each vibration source, and contains strong noise at the same time. In this paper, a new separation method for mixed vibration signals in strong noise environment(SNR=-5) is proposed. Firstly, the time-delay auto-correlation de-noising method is used to de-noise the mixed signals, and then the common blind separation algorithm (MSNR algorithm is used here) is used to separate the mixed vibration signals, which improves the separation performance. The simulation results verify the validity of the method. The proposed method provides a new idea for health monitoring and fault diagnosis of engine rotor vibration signals.