Fault Diagnosis of Power Transformers With Membership Degree
Power transformers are important equipment for power systems, and a dissolved gas analysis (DGA) is widely used to detect incipient faults in oil-pregnant transformers. The conventional methods are prone to misinterpreting the gas data near the boundaries and the correct rate is low. Though a high c...
Saved in:
Main Authors: | Enwen Li, Linong Wang, Bin Song |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8654646/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fault diagnosis and auto dispatchin of power communication network based on unsupervised clustering and frequent subgraph mining
by: Jihua WU, et al.
Published: (2021-11-01) -
PW-FBPNN: A Hybrid Fault Diagnosis Method for Power Circuit Systems Combining Principal Component Analysis, Wavelet Packet Transform, and Fuzzy Neural Networks
by: Xu Chen, et al.
Published: (2024-01-01) -
Research on Fault Diagnosis of Rolling Bearing based on Synchrosqueezing Extracting Transform
by: Qi Liu, et al.
Published: (2021-01-01) -
Diagnosing the type and location of the transformer fault by analyzing the dissolved gas using fuzzy logic
by: Mohamad Beiranvand, et al.
Published: (2024-09-01) -
Geometry-Based Synchrosqueezing S-Transform with Shifted Instantaneous Frequency Estimator Applied to Gearbox Fault Diagnosis
by: Xinping Zhu, et al.
Published: (2025-01-01)