Orthogonal On-Rotor Sensing Vibrations for Condition Monitoring of Rotating Machines
作者机构：Dynamics GroupDepartment of Mechanical EngineeringImperial College LondonLondonUK School of Engineering and TechnologyAston UniversityBirminghamUK School of Mechanical EngineeringHebei University of TechnologyTianjinChina State Key Laboratory of Mechanical Systems and VibrationShanghai Jiao Tong UniversityChina Control System Integration LtdLittleboroughUK Centre for Efficiency and Performance EngineeringUniversity of HuddersfieldHuddersfieldUK
出 版 物：《Journal of Dynamics, Monitoring and Diagnostics》 (动力学、监测与诊断学报（英文）)
年 卷 期：2022年第1卷第1期
页 面：29-36页
学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
基 金：This work was supported by the innovating major training projects of Beijing Institute of Technology,Zhuhai(XKCQ-2019-06) the NSFC-RS joint research project under grants IE181496 in the UK and 11911530177 in China
主 题：On-rotor sensing vibration condition monitoring rotating machines
摘 要：Thanks to the fast development of micro-electro-mechanical systems(MEMS)technologies,MEMS accelerometers show great potentialities for machine condition *** overcome the problems of a poor signal to noise ratio(SNR),complicated modulation,and high costs of vibration measurement and computation using conventional integrated electronics piezoelectric accelerometers,a triaxialMEMS accelerometer-based on-rotor sensing(ORS)technology was developed in this *** wireless data transmission capability,the ORS unit can be mounted on a rotating rotor to obtain both rotational and transverse dynamics of the rotor with a high *** orthogonal outputs lead to a construction method of analytic signals in the time domain,which is versatile in fault detection and diagnosis of rotating *** case studies based on an induction motor were carried out,which demonstrated that incipient bearing defect and half-broken rotor bar can be effectively diagnosed by the proposed measurement and analysis ***,vibration signals from translational on-casing accelerometers are less capable of detecting such *** demonstrates the superiority of the ORS vibrations in fault detection of rotating machines.
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