Research on Fault Diagnosis and Prediction of Power Generation Equipment Based on Machine Learning Algorithm
Aiming at the problem of fault diagnosis and prediction of power generation equipment,this paper proposes a method based on machine learning algorithm.By collecting the operation data of power generation equipment,the effective features are obtained by using feature extraction and feature selection techniques,and then the classification and prediction are made by using multiple machine learning models such as support vector machine(SVM)and random forest(RF).The experimental results show that the proposed method can effectively identify the fault type of power generation equipment and accurately predict the fault,which has high reliability and practicability.
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