A Tutorial for Feature Engineering in the Prognostics and Health Management of Gears and Bearings
Gears and bearings are one of the major components of many machines, which can result in operation downtime or even catastrophic failure of a whole system. This paper addresses a tutorial for the features extraction and selection of the gears and bearings, which is known as feature engineering, a pr...
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doaj-25e53adc872c48f5baee4f91fa45f2f52020-11-25T03:52:03ZengMDPI AGApplied Sciences2076-34172020-08-01105639563910.3390/app10165639A Tutorial for Feature Engineering in the Prognostics and Health Management of Gears and BearingsJinwoo Sim0Seokgoo Kim1Hyung Jun Park2Joo-Ho Choi3Department of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang 10540, KoreaDepartment of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang 10540, KoreaDepartment of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang 10540, KoreaSchool of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang 10540, KoreaGears and bearings are one of the major components of many machines, which can result in operation downtime or even catastrophic failure of a whole system. This paper addresses a tutorial for the features extraction and selection of the gears and bearings, which is known as feature engineering, a prerequisite step for the prognostics and health management (PHM) of these components. While there have been many new developments in this field, no studies have addressed the tutorial aspects of features engineering to aid engineers in solving problems by their own effort, which is of practical importance for successful PHM. The paper aims at helping beginners learn the basic concepts, and implement the algorithms using the public datasets as well as those made by the authors. Matlab codes are provided in Appendix A for them to implement the process by their own hands.https://www.mdpi.com/2076-3417/10/16/5639prognostics and health management (PHM)remaining useful life (RUL)feature engineeringgearbearingFisher’s discriminant ratio (FDR) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jinwoo Sim Seokgoo Kim Hyung Jun Park Joo-Ho Choi |
spellingShingle |
Jinwoo Sim Seokgoo Kim Hyung Jun Park Joo-Ho Choi A Tutorial for Feature Engineering in the Prognostics and Health Management of Gears and Bearings Applied Sciences prognostics and health management (PHM) remaining useful life (RUL) feature engineering gear bearing Fisher’s discriminant ratio (FDR) |
author_facet |
Jinwoo Sim Seokgoo Kim Hyung Jun Park Joo-Ho Choi |
author_sort |
Jinwoo Sim |
title |
A Tutorial for Feature Engineering in the Prognostics and Health Management of Gears and Bearings |
title_short |
A Tutorial for Feature Engineering in the Prognostics and Health Management of Gears and Bearings |
title_full |
A Tutorial for Feature Engineering in the Prognostics and Health Management of Gears and Bearings |
title_fullStr |
A Tutorial for Feature Engineering in the Prognostics and Health Management of Gears and Bearings |
title_full_unstemmed |
A Tutorial for Feature Engineering in the Prognostics and Health Management of Gears and Bearings |
title_sort |
tutorial for feature engineering in the prognostics and health management of gears and bearings |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2020-08-01 |
description |
Gears and bearings are one of the major components of many machines, which can result in operation downtime or even catastrophic failure of a whole system. This paper addresses a tutorial for the features extraction and selection of the gears and bearings, which is known as feature engineering, a prerequisite step for the prognostics and health management (PHM) of these components. While there have been many new developments in this field, no studies have addressed the tutorial aspects of features engineering to aid engineers in solving problems by their own effort, which is of practical importance for successful PHM. The paper aims at helping beginners learn the basic concepts, and implement the algorithms using the public datasets as well as those made by the authors. Matlab codes are provided in Appendix A for them to implement the process by their own hands. |
topic |
prognostics and health management (PHM) remaining useful life (RUL) feature engineering gear bearing Fisher’s discriminant ratio (FDR) |
url |
https://www.mdpi.com/2076-3417/10/16/5639 |
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