A PCA-LSTM-Based Method for Fault Diagnosis and Data Recovery of Dry-Type Transformer Temperature Monitoring Sensor

A PCA-LSTM-Based Method for Fault Diagnosis and Data Recovery of Dry-Type Transformer Temperature Monitoring Sensor

The failure that occurs during the dry-type transformer temperature monitoring sensor working will result in wrong data output, which may cause the monitor and monitoring background to respond incorrectly. To solve this problem, a fault diagnosis and data recovery algorithm based on principal compon...

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Bibliographic Details
Main Authors: Mingze Zheng, Kun Yang, Chunxue Shang, Yi Luo
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Applied Sciences
Subjects:
fault diagnosis
data recovery
principal component analysis
long short-term memory neural network
Online Access:https://www.mdpi.com/2076-3417/12/11/5624

Internet

https://www.mdpi.com/2076-3417/12/11/5624

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