A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks

•We consider the problem of detecting failures in multi-component system.•The autoencoder-based method is able to automatically extract degradation indicators.•A single run-to-failure trajectory is enough to pre-train the deep neural network.•The computational burden of deep neural network hyperpara...

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