Bootstrap

机不可失!Transformer-GRU-SVM组合模型多特征分类预测故障诊断

伪代码示例

加载数据集

X_train, y_train = load_data(‘train_data.csv’)
X_test, y_test = load_data(‘test_data.csv’)

特征提取 - Transformer

transformer_features = transformer_model(X_train)

特征提取 - GRU

gru_features = gru_model(X_train)

特征融合

combined_features = concatenate(transformer_features, gru_features) # 假设这里是简单地连接特征

训练 SVM

svm_model = train_svm(combined_features, y_train)

测试

transformer_features_test = transformer_model(X_test)
gru_features_test = gru_model(X_test)
combined_features_test = concatenate(transformer_features_test, gru_features_test)

predictions = svm_model.predict(combined_features_test)

评估模型

accuracy = accuracy_score(y_test, predictions)

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