Motor Vibration Analysis for the Fault Diagnosis in Nonstationary Operating Conditions


  • Jang-Wook Hur Kumoh National Institute of Technology
  • Tanvir Alam Kumoh National Institute of Technology


BLDC Motor, Condition Monitoring, Fault Detection, Spectral Analysis.


The reliability and performance of a system with minimum life-cycle cost have become quite prominent in engineering systems. With increasing industrial applications, machines are operating in intricate conditions with higher uncertainty, causing greater vulnerability of system failure. This paper reports fault-related information of Brushless DC Motor (BLDC motor) in nonstationary operating conditions and presents several analyses to diagnose the faults. Fault diagnosis is the most crucial and important part of system prognostics which helps to increase the remaining useful life (RUL) and prevent catastrophic failures. Having both electrical and mechanical characteristics present in a BLDC motor, it shows several faults in different operating conditions. These faults cause a significant change in the vibration of the Motor. This paper deals with the anomaly detection of BLDC motor in nonstationary speed conditions using vibration signal analysis as well as extraction of several Condition Indicators (CI).


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Author Biography

Jang-Wook Hur, Kumoh National Institute of Technology

Jang-Wook Hur is currently working as a professor and dean at the Department of Mechanical System Engineering, Kumoh National Institute of Technology. He received his Ph.D. degree in Mechanical Engineering from the Tokyo Institute of Technology, Japan, in 1995. He also served in the Korean Army and ranked colonel in 2005. His research interests include reliability, maintainability, and TLCSM of defense equipment.




How to Cite

Hur, J.-W., & Tanvir Alam. (2020). Motor Vibration Analysis for the Fault Diagnosis in Nonstationary Operating Conditions. International Journal of Integrated Engineering, 12(3), 151–160. Retrieved from