Technology development and commercial applications of industrial fault diagnosis system: a review

被引：33

作者：

Liu, Chengze ^{[1
]}

Cichon, Andrzej ^{[2
]}

Krolczyk, Grzegorz ^{[3
]}

Li, Zhixiong ^{[3
]}

机构：

[1] Ocean Univ China, Sch Engn, Qingdao 266100, Peoples R China

[2] Opole Univ Technol, Fac Elect Engn, PL-45758 Opole, Poland

[3] Opole Univ Technol, Fac Mech Engn, PL-45758 Opole, Poland

来源：

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2022年 / 118卷 / 11-12期

基金：

美国国家科学基金会;

关键词：

Condition-based monitoring; Fault diagnosis system; Signal processing; Diagnostics and prognostics; Commercialization; REMAINING USEFUL LIFE; EMPIRICAL MODE DECOMPOSITION; MISSION RELIABILITY EVALUATION; GAUSSIAN PROCESS REGRESSION; CONDITION-BASED MAINTENANCE; ARTIFICIAL NEURAL-NETWORK; LOCAL MEAN DECOMPOSITION; TIME FOURIER-TRANSFORM; OF-THE-ART; ROTATING MACHINERY;

D O I：

10.1007/s00170-021-08047-6

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Machinery will fail due to complex and tough working conditions. It is necessary to apply reliable monitoring technology to ensure their safe operation. Condition-based maintenance (CBM) has attracted significant interest from the research community in recent years. This paper provides a review on CBM of industrial machineries. Firstly, the development of fault diagnosis systems is introduced systematically. Then, the main types of data in the field of the fault diagnosis are summarized. After that, the commonly used techniques for the signal processing, fault diagnosis, and remaining useful life (RUL) prediction are discussed, and the advantages and disadvantages of these existing techniques are explored for some specific applications. Typical fault diagnosis products developed by corporations and universities are surveyed. Lastly, discussions on current developing situation and possible future trends are in the CBM performed.

引用

页码：3497 / 3529

页数：33

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