Machine Learning Approach for Predictive Maintenance in Hydroelectric Power Plants
Author:
Affiliation:
1. Universidad Tecnológica Centroamericana,Facultad de Ingeniería,Tegucigalpa,Honduras
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9939564/9939667/09939782.pdf?arnumber=9939782
Reference7 articles.
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2. LSTM Based Prediction and Time-Temperature Varying Rate Fusion for Hydropower Plant Anomaly Detection: A Case Study
3. Chapter Fourteen—Energy-efficient edge based real-time healthcare support system;abirami;Advances in Computers,2020
4. Machine Learning and Data Science in the Power Generation Industry: Best Practices, Tools, and Case Studies;banger,2021
5. LSTM Autoencoder for Extreme Rare Event Classification in Keras;ranjan;Medium,2022
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3. Data-Driven Approach for Predictive Maintenance of Metro System;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02
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