Abstract

Fault diagnosis of rotating machinery (FDRM) has attracted continuous attention because of its great importance to industrial engineering, promoting the healthy and prosperous development of the field. A large number of literature reviews on FDRM have been reported, including signal processing methods in FDRM; artificial intelligence techniques in FDRM; fault diagnosis of bearings, gearboxes and induction motors; and others with broader areas of focus. Using bibliometric techniques, this paper provides objective insight and presents a comprehensive review of FDRM. The review begins with rigorous bibliometric analyses of 2532 published studies. These analyses enable mapping the scope and structure of the discipline, discovering the established collaboration patterns among countries and institutions, and identifying authoritative papers and authors. In addition, a deep analysis of the co-citation network allows graphically classifying the key research topics, illustrating their evolution over time, and identifying the current research interests and potential future research directions. The findings in this paper provide an overall picture of the development of FDRM from 1998 to 2019 and a robust roadmap for future investigations in this field.

Highlights

  • Applied rotating machinery plays a crucial role in modern industrial applications

  • On the basis of these analyses, we review the state of research on fault diagnosis of rotating machinery (FDRM), classify the leading and influential research works, identify gaps in the existing research, and discover potential directions and interests for future research

  • Tens of thousands of papers on FDRM have been published, and many literature reviews have been reported on relevant subjects

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Summary

Introduction

Applied rotating machinery plays a crucial role in modern industrial applications. Because it operates under severe and complex conditions over a long period of time, such as heavy load, high temperature, and high speed, rotating machinery is inevitably subject to failure [1]. These faults of varying degrees lead to decreased machinery service performance and even cause emergency shutdowns, which may result in very large economic losses and catastrophic safety accidents [2]. FDRM has received increasing attention and has experienced considerable development in recent decades

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