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A python based tutorial on prognostics and health management using vibration signal: signal processing, feature extraction and feature selection

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Abstract

MATLAB is a convenient and well-established engineering tool used by many researchers and engineers in implementing the prognostics and health management (PHM). Recently however, Python has emerged as a new language platform for the same purpose due to its advantages of free access, high extensibility and plenty libraries. This paper provides a Python tutorial to aid the beginners in the PHM to implement the signal processing and feature engineering using the open access data of gears and bearings. The Python codes are provided at the web page https://www.kau-sdol.com so that they produce the same results as the MATLAB codes. As such, they are reliable as well as of practical value to those who want to learn how to implement the PHM by Python or to migrate from the MATLAB to Python.

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Acknowledgments

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1A4A4079904).

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Authors and Affiliations

  1. Department of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang-si, Gyeonggi-do, Korea

    Jinwoo Sim, Jinhong Min, Doyeon Kim & Seong Hee Cho

  2. Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, Florida, USA

    Seokgoo Kim

  3. School of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang-si, Gyeonggi-do, Korea

    Joo-Ho Choi

Authors
  1. Jinwoo Sim
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  2. Jinhong Min
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  3. Doyeon Kim
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  4. Seong Hee Cho
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  5. Seokgoo Kim
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  6. Joo-Ho Choi
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Corresponding author

Correspondence to Joo-Ho Choi.

Additional information

Jinwoo Sim received the B.S. degree in mechanical engineering in 2020 from Korea Aerospace University, Goyang, South Korea, where he is currently working toward the M.S. degree in mechanical engineering with Department of Aerospace and Mechanical Engineering. His research interest focuses on prognostics and health management (PHM) for the mechanical system and health index construction of systems operating under variable conditions.

Mr. Sim is a recipient of KSME Best Paper Award in 2021.

Jinhong Min is currently working toward the B.S. degree in mechanical engineering with Department of Aerospace and Mechanical Engineering in Korea Aerospace University, Goyang, South Korea. His research interest focuses on prognostics and health management (PHM) for the mechanical system and machine learning.

Doyeon Kim is currently working toward the B.S. degree in mechanical engineering with Department of Aerospace and Mechanical Engineering in Korea Aerospace University, Goyang, South Korea. Her research interest focuses on prognostics and health management (PHM).

Seong Hee Cho received the B.S. and the M.S. degrees in mechanical engineering from Korea Aerospace University, Goyang, South Korea in 2019 and 2021, respectively. Her research interest focuses on prognostics and health management (PHM) for engine systems and machine learning.

Seokgoo Kim received the bachelor’s and master’s degrees in mechanical engineering from Korea Aerospace University, Goyang, South Korea, in 2016 and 2018, respectively. He is currently pursuing the dual Ph.D. degree with Korea Aerospace University and the University of Florida. His research interests include prognostics and health management for complex engineering systems, data analytics, machine learning, and uncertainty management.

He has received the KSME Student Best Paper Award, in 2019, the ICMR Best Paper Award, in 2019, and the PHM Asia Pacific Best Student Award (Bronze), in 2021.

Joo-Ho Choi received the B.S. degree from Hanyang University, Seoul, South Korea, and the M.S. and Ph.D. degrees from the Korea Advanced Institute of Science and Technology, Seoul, South Korea, all in mechanical engineering. He was an Engineer with Samsung Corning, Suwon, South Korea, where he led the research team developing equipment to improve quality and productivity in TV glass production. He is currently a Professor of Aerospace and Mechanical Engineering with Korea Aerospace University, Goyang, South Korea. Over the years, he has made some key publications, including the reviews, tutorials, and a book to help the engineers research and practice in the field of prognostics and health management (PHM).

Prof. Choi served as the Editor for the Journal of Mechanical Science and Technology for six years. He has founded the Korean Society for PHM in Korea. In 2018, he became a Fellow for the PHM society of USA for his leadership as a Chair in the First Asia Pacific Conference of the PHM Society 2017.

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Sim, J., Min, J., Kim, D. et al. A python based tutorial on prognostics and health management using vibration signal: signal processing, feature extraction and feature selection. J Mech Sci Technol 36, 4083–4097 (2022). https://doi.org/10.1007/s12206-022-0728-z

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  • DOI: https://doi.org/10.1007/s12206-022-0728-z

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