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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Main Authors:	Jinwoo Sim, Seokgoo Kim, Hyung Jun Park, Joo-Ho Choi
Format:	Article
Language:	English
Published:	MDPI AG 2020-08-01
Series:	Applied Sciences
Subjects:	prognostics and health management (PHM) remaining useful life (RUL) feature engineering gear bearing Fisher’s discriminant ratio (FDR)
Online Access:	https://www.mdpi.com/2076-3417/10/16/5639

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spelling	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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A Tutorial for Feature Engineering in the Prognostics and Health Management of Gears and Bearings

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