Electrical Monitoring of Mechanical Defects in Induction Motor-Driven V-Belt-Pulley Speed Reduction Couplings

Tae June Kang; Chanseung Yang; Yonghyun Park; Doosoo Hyun; Sang Bin Lee; Mike Teska

doi:10.1109/TIA.2018.2805840

Electrical Monitoring of Mechanical Defects in Induction Motor-Driven V-Belt-Pulley Speed Reduction Couplings

Tae June Kang, Chanseung Yang, Yonghyun Park, Doosoo Hyun, Sang Bin Lee, Mike Teska

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

V-belt-pulley couplings are commonly used for speed reduction in induction-motor-driven industrial applications since they provide flexible transmission of power at low cost. However, they are susceptible to mechanical defects such as belt wear or crack that can cause slippage or damage of the belt and lead to decrease in efficiency and lifetime of the system. There are many limitations to applying existing tests such as visual inspection, thermal or mechanical monitoring as they require visual, or physical access to the system and/or costly sensors. Considering the large quantity of belt-pulley systems employed in industry, the impact of the economic loss incurred by low-efficiency operation, and unplanned process outages is significant. In this paper, electrical monitoring of belt-pulley coupling defects based on the analysis and trending of the stator current frequency spectrum under steady-state and starting conditions is presented. The proposed method is verified on the following: 1) 6.6-kV motor-driven pulpers; and 2) a custom-built motor-driven air compressor with speed reduction belt-pulleys under controlled fault conditions. It is shown that the proposed method can provide automated, remote, and safe detection of belt-pulley defects based on existing current measurements for improving system reliability and efficiency. It is also shown that the proposed method can be applied to vibration measurements for motors where vibration sensors are installed.

Original language	English
Pages (from-to)	2255-2264
Number of pages	10
Journal	IEEE Transactions on Industry Applications
Volume	54
Issue number	3
DOIs	https://doi.org/10.1109/TIA.2018.2805840
Publication status	Published - 2018 May 1

Keywords

Belts
condition monitoring
couplings
electrical fault detection
induction motors
maintenance
mechanical power transmission
spectral analysis
vibration analysis

ASJC Scopus subject areas

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

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10.1109/TIA.2018.2805840

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@article{7a0cc828f9984a209fde9fc5fe1c2c2a,

title = "Electrical Monitoring of Mechanical Defects in Induction Motor-Driven V-Belt-Pulley Speed Reduction Couplings",

abstract = "V-belt-pulley couplings are commonly used for speed reduction in induction-motor-driven industrial applications since they provide flexible transmission of power at low cost. However, they are susceptible to mechanical defects such as belt wear or crack that can cause slippage or damage of the belt and lead to decrease in efficiency and lifetime of the system. There are many limitations to applying existing tests such as visual inspection, thermal or mechanical monitoring as they require visual, or physical access to the system and/or costly sensors. Considering the large quantity of belt-pulley systems employed in industry, the impact of the economic loss incurred by low-efficiency operation, and unplanned process outages is significant. In this paper, electrical monitoring of belt-pulley coupling defects based on the analysis and trending of the stator current frequency spectrum under steady-state and starting conditions is presented. The proposed method is verified on the following: 1) 6.6-kV motor-driven pulpers; and 2) a custom-built motor-driven air compressor with speed reduction belt-pulleys under controlled fault conditions. It is shown that the proposed method can provide automated, remote, and safe detection of belt-pulley defects based on existing current measurements for improving system reliability and efficiency. It is also shown that the proposed method can be applied to vibration measurements for motors where vibration sensors are installed.",

keywords = "Belts, condition monitoring, couplings, electrical fault detection, induction motors, maintenance, mechanical power transmission, spectral analysis, vibration analysis",

author = "Kang, {Tae June} and Chanseung Yang and Yonghyun Park and Doosoo Hyun and Lee, {Sang Bin} and Mike Teska",

note = "Funding Information: Manuscript received November 21, 2017; revised February 3, 2018; accepted February 9, 2018. Date of publication February 12, 2018; date of current version May 18, 2018. Paper 2017-EMC-1475.R1, presented at the 2017 IEEE Energy Conversion Congress and Exposition, Cincinnati, OH, USA, Oct. 1-5, 2017, approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Electric Machines Committee of the IEEE Industry Application Society. This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education under Grant 2016R1D1A1A09917190. (Corresponding author: Sang Bin Lee.) T.-J. Kang was with the Department of Electrical Engineering, Korea University, Seoul 02841, South Korea. He is now with Hyundai Mobis, Yongin 16917, South Korea (e-mail: magnuskt@korea.ac.kr). Publisher Copyright: {\textcopyright} 1972-2012 IEEE.",

year = "2018",

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doi = "10.1109/TIA.2018.2805840",

language = "English",

volume = "54",

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journal = "IEEE Transactions on Industry Applications",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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T1 - Electrical Monitoring of Mechanical Defects in Induction Motor-Driven V-Belt-Pulley Speed Reduction Couplings

AU - Kang, Tae June

AU - Yang, Chanseung

AU - Park, Yonghyun

AU - Hyun, Doosoo

AU - Lee, Sang Bin

AU - Teska, Mike

N1 - Funding Information: Manuscript received November 21, 2017; revised February 3, 2018; accepted February 9, 2018. Date of publication February 12, 2018; date of current version May 18, 2018. Paper 2017-EMC-1475.R1, presented at the 2017 IEEE Energy Conversion Congress and Exposition, Cincinnati, OH, USA, Oct. 1-5, 2017, approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Electric Machines Committee of the IEEE Industry Application Society. This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education under Grant 2016R1D1A1A09917190. (Corresponding author: Sang Bin Lee.) T.-J. Kang was with the Department of Electrical Engineering, Korea University, Seoul 02841, South Korea. He is now with Hyundai Mobis, Yongin 16917, South Korea (e-mail: magnuskt@korea.ac.kr). Publisher Copyright: © 1972-2012 IEEE.

PY - 2018/5/1

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N2 - V-belt-pulley couplings are commonly used for speed reduction in induction-motor-driven industrial applications since they provide flexible transmission of power at low cost. However, they are susceptible to mechanical defects such as belt wear or crack that can cause slippage or damage of the belt and lead to decrease in efficiency and lifetime of the system. There are many limitations to applying existing tests such as visual inspection, thermal or mechanical monitoring as they require visual, or physical access to the system and/or costly sensors. Considering the large quantity of belt-pulley systems employed in industry, the impact of the economic loss incurred by low-efficiency operation, and unplanned process outages is significant. In this paper, electrical monitoring of belt-pulley coupling defects based on the analysis and trending of the stator current frequency spectrum under steady-state and starting conditions is presented. The proposed method is verified on the following: 1) 6.6-kV motor-driven pulpers; and 2) a custom-built motor-driven air compressor with speed reduction belt-pulleys under controlled fault conditions. It is shown that the proposed method can provide automated, remote, and safe detection of belt-pulley defects based on existing current measurements for improving system reliability and efficiency. It is also shown that the proposed method can be applied to vibration measurements for motors where vibration sensors are installed.

AB - V-belt-pulley couplings are commonly used for speed reduction in induction-motor-driven industrial applications since they provide flexible transmission of power at low cost. However, they are susceptible to mechanical defects such as belt wear or crack that can cause slippage or damage of the belt and lead to decrease in efficiency and lifetime of the system. There are many limitations to applying existing tests such as visual inspection, thermal or mechanical monitoring as they require visual, or physical access to the system and/or costly sensors. Considering the large quantity of belt-pulley systems employed in industry, the impact of the economic loss incurred by low-efficiency operation, and unplanned process outages is significant. In this paper, electrical monitoring of belt-pulley coupling defects based on the analysis and trending of the stator current frequency spectrum under steady-state and starting conditions is presented. The proposed method is verified on the following: 1) 6.6-kV motor-driven pulpers; and 2) a custom-built motor-driven air compressor with speed reduction belt-pulleys under controlled fault conditions. It is shown that the proposed method can provide automated, remote, and safe detection of belt-pulley defects based on existing current measurements for improving system reliability and efficiency. It is also shown that the proposed method can be applied to vibration measurements for motors where vibration sensors are installed.

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KW - condition monitoring

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KW - electrical fault detection

KW - induction motors

KW - maintenance

KW - mechanical power transmission

KW - spectral analysis

KW - vibration analysis

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ER -

Electrical Monitoring of Mechanical Defects in Induction Motor-Driven V-Belt-Pulley Speed Reduction Couplings

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Keywords

ASJC Scopus subject areas

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