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 Kaibo Lu;James Xi Gu;Hongwei Fan;Xiuquan Sun;Bing Li;Fengshou Gu

作者机构：College of Mechanical and Vehicle EngineeringTaiyuan University of TechnologyTaiyuan 030024China School of EngineeringUniversity of BoltonBolton BL35ABUK College of Mechanical EngineeringXi’an University of Science and TechnologyXi’an 710054China Centre for Efficiency and Performance EngineeringUniversity of HuddersfieldHuddersfield HD13DHUK. School of Industrial AutomationBeijing Institute of TechnologyZhuhai 519088China 

出 版 物：《Chinese Journal of Mechanical Engineering》 (中国机械工程学报（英文版）)

年 卷 期：2021年第34卷第4期

页      面：98-109页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

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) 

主　　题：Acoustics Modulation Signal Bispectrum Helical gearbox Gear wear 

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 *** 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 *** study focuses on developing CM for a multi-stage helical gearbox using airborne *** 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 *** 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 *** omnidirectional microphones were fixed near the gearboxes to sense acoustic information during *** 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 ***,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 ***,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.