A review: data driven-based fault diagnosis and RUL prediction of petroleum machinery and equipment

A review: data driven-based fault diagnosis and RUL prediction of petroleum machinery and equipment

In this paper, an up-to-date overview is provided on the data driven-based fault diagnosis (FD) and remaining useful life (RUL) prediction problems of the petroleum machinery and equipment (PME). First, the FD and RUL prediction of five key components including bearings, gears, motors, pumps and pip...

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Bibliographic Details
Main Authors: Daan Ji, Chuang Wang, Jiahui Li, Hongli Dong
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Systems Science & Control Engineering
Subjects:
petroleum machinery and equipment
fault diagnosis
remaining useful life prediction
mathematical statistics
shallow learning
deep learning
Online Access:http://dx.doi.org/10.1080/21642583.2021.1992684

Internet

http://dx.doi.org/10.1080/21642583.2021.1992684

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