Online Monitoring of Induction Motors

McJunkin, Timothy R.¹  Agarwal, Vivek¹  Lybeck, Nancy Jean¹ 

[1] Idaho National Lab. (INL), Idaho Falls, ID (United States)

关键词: Diagnosis;    Fault Signatures;    Fleet-Wide Prognostics and Health Management Softw;    Induction Motors;   

DOI  :  10.2172/1239881
RP-ID  :  INL/EXT--15-36681
PID  :  OSTI ID: 1239881

美国|英语

来源: SciTech Connect

【 摘 要 】

The online monitoring of active components project, under the Advanced Instrumentation, Information, and Control Technologies Pathway of the Light Water Reactor Sustainability Program, researched diagnostic and prognostic models for alternating current induction motors (IM). Idaho National Laboratory (INL) worked with the Electric Power Research Institute (EPRI) to augment and revise the fault signatures previously implemented in the Asset Fault Signature Database of EPRI???s Fleet Wide Prognostic and Health Management (FW PHM) Suite software. Induction Motor diagnostic models were researched using the experimental data collected by Idaho State University. Prognostic models were explored in the set of literature and through a limited experiment with 40HP to seek the Remaining Useful Life Database of the FW PHM Suite.