Litcius/Paper detail

Signal Enhancement Method for Mechanical Fault Diagnosis in Flexible Drive-Train

Yuan Yao, Bin Xie, Lei Li, LI Ye-song, Quan Yin

2020IEEE Transactions on Industrial Electronics17 citationsDOI

Abstract

Nowadays, mechanical fault detection techniques based on signals from motor drive are becoming popular. However, in electromechanical system with flexible drive-train, mechanical fault signature reflected in motor drive is suppressed by the transmission path. This signal attenuation reduces the effectiveness of fault detection. Therefore, research on the law of fault signature transmission from load to motor is necessary. In this article, a two-mass electromechanical system with a long shaft is concerned. First, the transmission path from load torque to electromagnetic torque is analyzed, and the concept of torque transmission efficiency is proposed. Then, the frequency characteristic method and transfer function method are presented to establish the signal transmission model. Finally, the model-based signal enhancement method is proposed to compensate the attenuation. Simulation and experimental results show that the proposed method can enhance the quality of fault signature transmission and improve the performance of fault classification.

Topics & Concepts

Fault (geology)Signature (topology)Transmission (telecommunications)TorqueSIGNAL (programming language)AttenuationEngineeringControl theory (sociology)Computer scienceFault detection and isolationElectronic engineeringElectrical engineeringActuatorArtificial intelligencePhysicsMathematicsSeismologyGeologyProgramming languageOpticsControl (management)ThermodynamicsGeometryMachine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisControl Systems in Engineering