Spectro-Temporal Self-Similarity Based Identification of Corrupted Acoustic Signal of Distribution Transformer in Noisy Environment-Reference-Cited by-同舟云学术

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Spectro-Temporal Self-Similarity Based Identification of Corrupted Acoustic Signal of Distribution Transformer in Noisy Environment

Published:2023-02 Issue:1 Volume:38 Page:105-116
ISSN:0885-8977
Container-title:IEEE Transactions on Power Delivery
language:
Short-container-title:IEEE Trans. Power Delivery

Author:

Bin Li¹^ORCID,Sheng Su¹^ORCID,Yuan Liu¹,Qiang Fu¹,Yunfeng Xia²,Guanke Liu³

Affiliation:

1. Changsha University of Science and Technology, Changsha, China

2. Power Transmission and Distribution Maintenance Branch of Hainan Power Grid, Hainan, China

3. Dongguan Electric Power Utility, Dongguan, China

Funder

Natural Scientific Research Funding of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/61/10025416/09795140.pdf?arnumber=9795140

Reference37 articles.

1. Fuzzy-Wavelet-Based Electric Power Quality Assessment of Distribution Systems Under Stationary and Nonstationary Disturbances

2. An Effective Stator Fault Diagnosis Framework of BLDC Motor Based on Vibration and Current Signals

3. Monitoring Robotic Swarm Systems Under Noisy Conditions Using an Effective Fault Detection Strategy

4. Diagnostics of a Transformer's Active Part With Complementary FRA and VM Measurements

5. Cluster Based Multidimensional Scaling for Irregular Cognitive Radio Networks Localization

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