Bibliometric Analysis of Engine Vibration Detection

Author:

Xin Mai1,Ye Zhifeng1,Zhang Tong1,Pan Xiong2

Affiliation:

1. Jiangsu Province Key Lab Aerospace Power System, College Energy & Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

2. Shanghai Aircraft Design & Research Institute, Shanghai 201210, China

Abstract

After many years of development, the technology of analyzing the working condition of power units based on vibration signals has received relatively stable applications, but the accuracy and the degree of automation and intelligence for fault diagnosis are still inadequate due to the limitations in the ongoing development of key technologies. With the development of big data and artificial intelligence technology, the involvement of new technologies will be an important boost to the development of this field. In this study, in order to support subsequent research, bibliometrics is used as a tool to sort the development of the technology in this field at the macro level. At the micro level, key publications in the literature are studied to better understand the development status at the technical level and prepare for the selection of entry points to facilitate in-depth innovation in the future.

Funder

National Natural Science Foundation of China

State Council, People’s Republic of China

Publisher

MDPI AG

Subject

Aerospace Engineering

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