Real-Time Remote Monitoring And Fault Diagnosis Of Induction Motors Using Labview
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Abstract
In modern industries, the most prevalent prime movers are induction motors. While these are sturdy in construction and extremely reliable, however, due to overloading, aging and excessive environmental and mechanical stresses, several faults may prematurely occur. Over time, numerous fault detection and diagnostic methods were developed for the initial phase inception of fault in induction motors. In this paper, a methodology based on the National Instruments (NI) Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW) is discussed for real-time remote monitoring and detection of an early-stage stator Inter Turn Short Circuit (ITSC) and Broken Rotor Bar (BRB) faults in three-phase induction motors. The presence of faults was explored using well known Park’s Vector Approach (PVA) and the Motor Current Signature Analysis (MCSA). The results obtained validate the feasibility of proposed methodology to effectively detect occurrence of faults in induction motors in real-time. The suggested methodology has a broad range of possible applications in the field of remote machine condition monitoring and will pave the path for researchers in the detection and classification of faults.
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