Electrically operated valve fault diagnosis method, terminal equipment and readable storage medium

The invention discloses an electrically operated valve fault diagnosis method, which is based on a support vector machine and comprises the steps of: collecting multiple groups of sample data in the working process of an electrically operated valve; inputting the collected sample data into a support vector machine in groups; enabling the support vector machine to train a classification model by inputting sample data and obtain a final classification model; and inputting real-time data in the opening and closing process of the electrically operated valve, and conducting fault diagnosis through the classification model. According to the diagnosis method based on the support vector machine and k-fold optimization, limited fault data samples are fully utilized for training to obtain an optimal fault diagnosis model, and the accuracy of fault diagnosis of an electrically operated valve can be improved to the maximum extent through the model. 本发明公开了一种电动阀门故障诊断方法，所述诊断方法基于支持向量机，包括在电动阀门工作过程中，采集多组样本数据；将采集的样本数据分组输入至支持向量机