Reconstruction-based stacked sparse auto-encoder for nonlinear industrial process fault diagnosis
Qihang Weng,
Shaojun Ren,
Baoyu Zhu
et al.
Abstract:The reconstruction-based (RB) approach can effectively suppress the misdiagnosis problem due to the smearing effect in fault isolation. However, the current exploration of the RB approach for large-scale nonlinear systems is still limited. Therefore, this paper proposes a reliable and effective fault diagnosis method based on a reconstruction-based stacked sparse autoencoder (RBSSAE) for high-dimensional industrial systems. In RBSSAE, a reconstruction-based index achieved by the Steffensen iterative method is … Show more
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