基于通用图形处理器的高效包络分析与降噪故障诊断方法

This paper proposes an effective envelope analysis-based methodology for machinery condition monitoring and validates its efficacy by identifying bearing failures with 1-s acoustic emission (AE) signals sampled at 1 MHz. The proposed condition monitoring methodology of low-speed bearings consists of denoising to improve the signal–noise ratio of the acquired AE signal by employing a soft-threshold...