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Load Torque Signature Analysis: An alternative to MCSA to detect faults in motor driven loads

机译:负载转矩特征分析:MCSA的替代方法,用于检测电动机驱动的负载中的故障

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摘要

In this paper, an alternative to the MCSA (Motor Current Signature Analysis) method to detect faults in motor driven loads is presented. The proposed method named Load Torque Signature Analysis - LTSA - processes an estimative of the load torque to obtain a signature of the fault on the load. A comparison of the LTSA and MCSA method is done under the viewpoint of frequency bandwidth, sensitivity and implementation drawbacks. The influence of electrical and mechanical parameters on LTSA performance is investigated. Mathematical relationships among these parameters which allow establishing the nature of the frequency response are obtained. It is shown that, LTSA can be an interesting alternative to be applied in several situations where MCSA performance is poor. Simulation and Experimental results validating the studies are presented.
机译:本文提出了一种替代MCSA(电动机电流签名分析)方法来检测电动机驱动负载中的故障的方法。所提出的名为“负载转矩特征分析”的方法-LTSA-处理负载转矩的估计值以获得负载上的故障特征。从频率带宽,灵敏度和实现缺陷的角度对LTSA和MCSA方法进行了比较。研究了电气和机械参数对LTSA性能的影响。这些参数之间的数学关系可以建立频率响应的性质。结果表明,在许多MCSA性能较差的情况下,LTSA可能是一个有趣的替代方案。仿真和实验结果验证了研究结果。

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