Influence of Blade Pass Frequency Vibrations on MCSA-Based Rotor Fault Detection of Induction Motors

Yonghyun Park, Myung Jeong, Sang Bin Lee, Jose Alfonso Antonino-Daviu, Mike Teska

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

Motor current signature analysis (MCSA) has recently become widespread in industry for on-line detection of rotor cage faults in induction motors for preventing forced outages. Although it can provide low cost remote monitoring of rotor faults, cases of false indications have been reported, where the causes of some false indications are still unknown. It is shown for the first time in this work that high-amplitude blade pass frequency (BPF) vibrations produced in pumps, fans, or compressors can cause false rotor fault indications if the number of motor poles is an integer multiple of the number of blades. The influence of BPF vibration on MCSA-based rotor fault detection is analyzed, and it is shown that the interaction between BPF vibration and rotor faults can produce false positive and negative fault indications. Alternative test methods capable of separating the influence of the BPF vibration and rotor faults are suggested for avoiding false MCSA alarms. The claims made in the paper are verified experimentally on a custom-built 380 V induction motor-centrifugal pump system setup.

Original languageEnglish
Article number7862233
Pages (from-to)2049-2058
Number of pages10
JournalIEEE Transactions on Industry Applications
Volume53
Issue number3
DOIs
Publication statusPublished - 2017 May 1

Keywords

  • Condition monitoring
  • diagnostics
  • induction motor
  • spectral analysis
  • symmetrical components
  • wavelet transformation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Influence of Blade Pass Frequency Vibrations on MCSA-Based Rotor Fault Detection of Induction Motors'. Together they form a unique fingerprint.

  • Cite this