Chunhua Yang

TL;DR: Deep stacked autoencoder (SAE) is introduced for soft sensor and shows that the proposed VW-SAE can give better prediction performance than the traditional multilayer neural networks and SAE.

TL;DR: By comparing EDBN and DBN under different network structures, the results show that EDBN has better feature extraction and fault classification performance than traditional DBN.

TL;DR: An FD technique combining the generalized CCA with the threshold-setting based on the randomized algorithm is proposed and applied to the simulated traction drive control system of high-speed trains and shows that the proposed method is able to improve the detection performance significantly in comparison with the standard generalized C CA-based FD method.

TL;DR: This article attempts to present a comprehensive survey on surface defect detection technologies by reviewing about 120 publications over the last two decades for three typical flat steel products of con-casting slabs and hot- and cold-rolled steel strips.

TL;DR: This study addresses the set stability of Boolean networks (BNs) and set stabilization of Boolean control networks (BCNs), where set stability determines whether a BN converges to a given subset, whereas set stabilizability addresses the issue of whether a BCN can be stabilized to agiven subset.