Acoustics Based Monitoring and Diagnostics for the Progressive Deterioration of Helical Gearboxes  

作　　者：Kaibo Lu James Xi Gu Hongwei Fan Xiuquan Sun Bing Li Fengshou Gu 

机构地区：[1]College of Mechanical and Vehicle Engineering,Taiyuan University of Technology,Taiyuan 030024,China [2]School of Engineering,University of Bolton,Bolton BL35AB,UK [3]College of Mechanical Engineering,Xi’an University of Science and Technology,Xi’an 710054,China [4]Centre for Efficiency and Performance Engineering,University of Huddersfield,Huddersfield HD13DH,UK. [5]School of Industrial Automation,Beijing Institute of Technology,Zhuhai 519088,China

出　　处：《Chinese Journal of Mechanical Engineering》2021年第4期98-109,共12页中国机械工程学报（英文版）

基　　金：Supported by Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Monitoring,Xi’an University of Science and Technology(Grant No.SKL-MEEIM201904);National Natural Science Foundation of China(Grant Nos.51805352,51605380).

摘　　要：Gearbox condition monitoring(CM)plays a significant role in ensuring the operational reliability and efficiency of a wide range of critical industrial systems such as wind turbines and helicopters.Accurate and timely diagnosis of gear faults will improve the maintenance of gearboxes operating under sub-optimal conditions,avoid excessive energy consumption and prevent avoidable damages to systems.This study focuses on developing CM for a multi-stage helical gearbox using airborne sound.Based on signal phase alignments,Modulation Signal Bispectrum(MSB)analysis allows random noise and interrupting events in sound signals to be suppressed greatly and obtains nonlinear modulation features in association with gear dynamics.MSB coherence is evaluated for selecting the reliable bi-spectral peaks for indication of gear deterioration.A run-to-failure test of two industrial gearboxes was tested under various loading conditions.Two omnidirectional microphones were fixed near the gearboxes to sense acoustic information during operation.It has been shown that compared against vibration based CM,acoustics can perceive the responses of vibration in a larger areas and contains more comprehensive and stable information related to gear dynamics variation due to wear.Also,the MSB magnitude peaks at the first three harmonic components of gear mesh and rotation components are demonstrated to be sufficient in characterizing the gradual deterioration of gear transmission.Consequently,the combining of MSB peaks with baseline normalization yields more accurate monitoring trends and diagnostics,allowing the gradual deterioration process and gear wear location to be represented more consistently.

关 键 词：ACOUSTICS Modulation Signal Bispectrum Helical gearbox Gear wear 

分 类 号：TH132.41[机械工程—机械制造及自动化]