DWPT-Based Sub-Band Analysis for FaultDetection of Rolling Element Bearings

• 作者: Jong-Myon Kim Michael Pecht Myeongsu Kang Rui Peng Xiaoyang Ma
• 来源期刊: 信息工程期刊：中英文版
• 学科: 工学
• 关键词: Discrete WAVELET PACKET TRANSFORM ENVELOPE ANALYSIS Fault Detection ROLLING Element Bearings
• 年，卷（期）: 2016,（2）
• 页码范围: 29-35
• 页数: 7页
• 分类号: TP

摘要

To early detect symptoms of defective rolling element bearings, this paper introduces discrete wavelet packet transform （DWPT）-based sub-band analysis. The objective of this analysis is to explore the impacts of multiple sub-band signals by 4-level DWPTusing proper Daubechies mother wavelet on a 2.5-second acoustic emission signal. In particular, the DWPT-based sub-bandanalysis determines the most informative sub-band signal involving intrinsic information about bearing defects among theaforementioned multiple sub-band signals based on the ratio of spectral magnitudes at harmonics of the bearing＇s characteristicfrequency to those around the harmonics. This paper also verifies the efficacy of the DWPT-based sub-band analysis for seededbearing defects （i.e., a crack on the inner race, the outer race, or a roller）.