Data-Driven Anomaly Detection in High-Voltage Transformer Bushings with LSTM Auto-Encoder
The reliability and health of bushings in high-voltage (HV) power transformers is essential in the power supply industry, as any unexpected failure can cause power outage leading to heavy financial losses. The challenge is to identify the point at which insulation deterioration puts the bushing at a...
Enregistré dans:
| Auteurs principaux: | Imene Mitiche, Tony McGrail, Philip Boreham, Alan Nesbitt, Gordon Morison |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
MDPI AG
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/c0f2d2102994430abf1084251180cedc |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
ANALYSIS OF OPERATING CONDITIONS AND MODES INFLUENCE ON TECHNICAL STATE OF MAIN INSULATION OF HIGH-VOLTAGE BUSHINGS OF DIFFERENT DESIGN
par: O. V. Shutenko, et autres
Publié: (2019) -
Simulation analysis and calculation of electric field distribution characteristics of UHV wall bushing
par: Yunfei Shi, et autres
Publié: (2021) -
A Novel Hybrid Method for KPI Anomaly Detection Based on VAE and SVDD
par: Yun Zhao, et autres
Publié: (2021) -
Weakly Supervised Video Anomaly Detection Based on 3D Convolution and LSTM
par: Zhen Ma, et autres
Publié: (2021) -
Encoder-Decoder Multi-Step Trajectory Prediction Technology Based on LSTM
par: Li Qingyong, He Bing, Zhang Xianyang, Zhu Xiaoyu, Liu Gang
Publié: (2021)