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

doi:10.1109/TIA.2017.2672526

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 journal › Article › peer-review

63 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 language	English
Article number	7862233
Pages (from-to)	2049-2058
Number of pages	10
Journal	IEEE Transactions on Industry Applications
Volume	53
Issue number	3
DOIs	https://doi.org/10.1109/TIA.2017.2672526
Publication status	Published - 2017 May 1

Bibliographical note

Funding Information:
Manuscript received September 30, 2016; revised November 21, 2016; accepted January 10, 2017. Date of publication February 22, 2017; date of current version May 18, 2017. Paper 2016-EMC-1059.R1, presented at the 2016 IEEE Energy Conversion Congress and Exposition, Milwaukee, WI, USA, Sep. 18– 22, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY AP-PLICATIONS by the Electric Machines Committee of the IEEE Industry Applications Society. This work was supported in part by the Human Resources program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) granted financial resource from the Ministry of Trade, Industry, and Energy, Requblic of Korea, under Grant 20154030200610, and in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education under Grant 2016R1D1A1A09917190.

Publisher Copyright:
© 2017 IEEE.

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

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10.1109/TIA.2017.2672526

Cite this

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title = "Influence of Blade Pass Frequency Vibrations on MCSA-Based Rotor Fault Detection of Induction Motors",

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.",

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author = "Yonghyun Park and Myung Jeong and Lee, {Sang Bin} and Antonino-Daviu, {Jose Alfonso} and Mike Teska",

note = "Funding Information: Manuscript received September 30, 2016; revised November 21, 2016; accepted January 10, 2017. Date of publication February 22, 2017; date of current version May 18, 2017. Paper 2016-EMC-1059.R1, presented at the 2016 IEEE Energy Conversion Congress and Exposition, Milwaukee, WI, USA, Sep. 18– 22, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY AP-PLICATIONS by the Electric Machines Committee of the IEEE Industry Applications Society. This work was supported in part by the Human Resources program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) granted financial resource from the Ministry of Trade, Industry, and Energy, Requblic of Korea, under Grant 20154030200610, and in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education under Grant 2016R1D1A1A09917190. Publisher Copyright: {\textcopyright} 2017 IEEE.",

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N2 - 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.

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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