An Early Fault Diagnosis Method for Ball Bearings of Electric Vehicles Based on Integrated Subband Averaging and Enhanced Kurtogram Method

Woojoong Kim, Munsu Lee, Sang-Jun Park, Sung-Hyun Jang, Byeong-Su Kang, Namjin Kim and Young-Sun Hong
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Woojoong Kim: Korea Institute of Industrial Technology, Electric Vehicle Diagnostic Technology Center, 102, Jejudaehak-ro, Jeju-si 63243, Jeju-do, Korea
Munsu Lee: Korea Institute of Industrial Technology, Electric Vehicle Diagnostic Technology Center, 102, Jejudaehak-ro, Jeju-si 63243, Jeju-do, Korea
Sang-Jun Park: Korea Institute of Industrial Technology, Electric Vehicle Diagnostic Technology Center, 102, Jejudaehak-ro, Jeju-si 63243, Jeju-do, Korea
Sung-Hyun Jang: Korea Institute of Industrial Technology, Electric Vehicle Diagnostic Technology Center, 102, Jejudaehak-ro, Jeju-si 63243, Jeju-do, Korea
Byeong-Su Kang: Korea Institute of Industrial Technology, Electric Vehicle Diagnostic Technology Center, 102, Jejudaehak-ro, Jeju-si 63243, Jeju-do, Korea
Namjin Kim: Department of Mechanical Engineering, Jeju National University, 102, Jejudaehak-ro, Jeju-si 63243, Jeju-do, Korea
Young-Sun Hong: Korea Institute of Industrial Technology, Electric Vehicle Diagnostic Technology Center, 102, Jejudaehak-ro, Jeju-si 63243, Jeju-do, Korea

Energies, 2022, vol. 15, issue 15, 1-13

Abstract: Faults of mechanical transmission systems generally occur in the rotating bearing part at high speeds, which causes problems such as performance degradation of transmission, generation of noise or vibration, and additional damage to connected adjacent systems. In this way, faults cause adverse effects to the entire system, such as deterioration and damage. The early detection and correction of bearing problems allows for improved system safety and the reduction of maintenance costs, resulting in efficient system operation. As a result, a variety of methods have been developed by many researchers in order to diagnose bearing mechanical defects, and one of the most representative methods is applying various signal processing techniques to vibration data. Wavelet packet transform (WPT) and kurtogram were used in this study to identify the frequency band that contained the fault component, and the enhanced kurtogram technique was used to analyze the fault. A technique for minimizing the effect of intermittent abnormal peak components caused by noise and external influences has been presented using sub-band averaging to detect early fault frequency component detection and fault development. Using the technique proposed in this study, the state of the bearing based on the degree of fault was evaluated quantitatively, and it was demonstrated experimentally that the bearing fault frequency could be detected at an early stage by the filtered data. In a situation where it is difficult to accept all the detailed design specifications and operating conditions of the complex mechanical systems at industrial sites, determining the degree of fault with simple time-series data and detecting fault components at an early stage is a practical analysis technique for fault diagnosis in the industrial field using various rotating bodies.

Keywords: ball bearing; diagnosis; early fault; kurtogram; spectral kurtosis; subband averaging; wavelet packet transform (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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