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

被引：0
|
作者：
Jinwoo Sim
Jinhong Min
Doyeon Kim
Seong Hee Cho
Seokgoo Kim
Joo-Ho Choi
机构：
[1] Korea Aerospace University,Department of Aerospace and Mechanical Engineering
[2] University of Florida,Department of Mechanical and Aerospace Engineering
[3] Korea Aerospace University,School of Aerospace and Mechanical Engineering
来源：
Journal of Mechanical Science and Technology | 2022年 / 36卷
关键词：
Prognostics and health management (PHM); Python; MATLAB; Tutorial; Bearing; Gear; Signal processing; Feature engineering;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：4083 / 4097
页数：14
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