期刊
MEASUREMENT
卷 186, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.measurement.2021.110112
关键词
Feature extraction; Empirical mode decomposition; Tuning resonance; Modal frequency; Gear defect detection
资金
- National Natural Science Foundation of China [51505007]
The key to gear defect detection lies in accurately separating and extracting weak vibration signals, and a detection method for gear micro-cracks based on tuned resonance was proposed in this study.
Detection of micro-cracks before assembling has always been a challenge in gear defect detection. A mature detection method of micro-cracks is not available. Due to the complex detection environment and large production of gears, it's urgent to develop a rapid and accurate detection method of gear micro-cracks. It's the key to separate and extract weak vibration signals accurately under complex disturbances in gear defect detection. In this study, vibration characteristics of gear defects under resonance conditions were firstly explored and a detection method of gear micro-cracks was proposed based on tuned resonance. Based on the amplification effect of tuned resonance on the peak frequency spectrum of gear vibration, meshing frequency and sideband frequency characteristics of the gear defect signal spectrum were experimentally investigated. The amplitudes of gear meshing frequency and its harmonic meshing frequency in the signal frequency domain diagram were higher and the surrounding sideband frequency components were clearer.
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