Xun Dong - IEEE Xplore Author Profile
Subscribe
ADVANCED SEARCH

Author details

< Back

Xun Dong

Publications
3
Citations
78
Publications by Year
20222023
Co-Authors:
Image of author Xun Dong

Xun Dong

Affiliation

Institute of Rail Transit (IRT) Tongji University, Shanghai, China

Publication Topics

Biography

Xun Dong received the B.Sc. degree in measuring and control technology and instrumentations from Nantong University, Nantong, China, in 2018, and the M.Sc. degree in mechatronics engineering from Southwest Jiaotong University, Chengdu, China, in 2021. He is currently pursuing the Ph.D. degree with the Institute of Rail Transit, Tongji University, Shanghai, China.,His current research interests include signal processing, motor diagnostics, and machine condition monitoring.(Based on document published on 14 June 2023).
Publications
3
Citations
78
Publications by Year
20222023
Co-Authors:
Author's Published Works

Showing 1-3 of 3 results

  • Sort

Filter Results

Show

Sort By

Results

Reliability Analysis and Quantitative Calculation of Hydraulic Slide Valve Stuck Problem

Liujing Xiong;Xun Dong;Gang Niu

2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)
Year: 2023 | Conference Paper |
The hydraulic slide valve is an important hydraulic component in the hydraulic system, which is widely used in the aviation and rail transit fields. The hydraulic slide valve is very sensitive to oil contamination, often resulting in stuck due to increased levels of contamination, thus affecting the normal operation of the entire hydraulic system. Carrying out the reliability analysis and quantita...Show More

Reliability Analysis and Quantitative Calculation of Hydraulic Slide Valve Stuck Problem

Liujing Xiong;Xun Dong;Gang Niu

Year: 2023 | Conference Paper |

Motor Fault Diagnostics Based on Current Signatures: A Review

Gang Niu;Xun Dong;Yuejian Chen

IEEE Transactions on Instrumentation and Measurement
Year: 2023 | Volume: 72 | Journal Article |
Cited by: Papers (77)
Electric motors act as the backbone of industrial development. Their reliable and safe operation is essential to various industries. At present, motor fault diagnosis based on current signatures has progressively gained favor thanks to their noninvasive nature. This review summarizes recent advances in motor current signature analysis (MCSA) for fault diagnosis. First, motor diagnostic background ...Show More

Motor Fault Diagnostics Based on Current Signatures: A Review

Gang Niu;Xun Dong;Yuejian Chen

Year: 2023 | Volume: 72 | Journal Article |

Incipient Fault Diagnosis of Asynchronous Motor Based on Stator Current Signal Analysis

Xun Dong;Gang Niu

2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Motor is the pillar of industrial development, and the motor diagnosis method based on current signal analysis is gaining popularity due to its non-invasive nature. In order to solve the incipient fault diagnosis problem of induction motor based on current signal, a method based on Frequency-domain Teager Energy Operator(FTEO) and Square Envelope Spectrum(SES) is proposed. To begin, a notch filter...Show More

Incipient Fault Diagnosis of Asynchronous Motor Based on Stator Current Signal Analysis

Xun Dong;Gang Niu

Year: 2022 | Conference Paper |

IEEE Account

Purchase Details

Profile Information

Need Help?

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.