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Chinese Journal of Mechanical Engineering

Table 3 Comparison of performance of classification

From: Sparse Autoencoder-based Multi-head Deep Neural Networks for Machinery Fault Diagnostics with Detection of Novelties

Performance

Accuracy (%)

The proposed method

100

SVM fed by multi-head DNN features

100

ANN fed by multi-head DNN features

99.85

kNN fed by multi-head DNN features

100

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