Hierarchical symbolic analysis and particle swarm optimization based fault diagnosis model for rotating machineries with deep neural networks

[Display omitted] •To design FD models with high accuracy.•Design FD model using HSA and PSO-CNN.•HSA for extraction of probability vector from actual signals.•PSO-CNN model is for learning the complicated non-linear relationship.•The PSO-CNN exhibits fast convergence rate. Fault diagnosis (FD) is c...

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Veröffentlicht in:Measurement : journal of the International Measurement Confederation 2021-02, Vol.171, p.108771, Article 108771
Hauptverfasser: Saravanakumar, R., Krishnaraj, N., Venkatraman, S., Sivakumar, B., Prasanna, S., Shankar, K.
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Sprache:eng
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