Chuyue Lou

Wuhan University of Technology | WHUT

At present, decision-making solutions developed based on deep learning (DL) models have received extensive attention in predictive maintenance (PM) applications along with the rapid improvement of computing power. Relying on the superior properties of shared weights and spatial pooling, convolutional neural networks (CNNs) can learn effective repre...

As an important branch of machine learning, deep learning (DL) models with multiple hidden layer structures have the ability to extract highly representative features from the input. At present, fault detection and diagnosis (FDD) and health monitoring solutions developed based on DL models have received extensive attention in academia and industry...

In industrial systems, continuous monitoring of process conditions is crucial. Existing discriminant analysis methods, including quadratic discriminant analysis (QDA), Fisher discriminant analysis (FDA), exponential discriminant analysis (EDA), orthonormal discriminant vector (ODV) and kernel Fisher discriminant (KFD), have been widely used in faul...

Data-driven multivariate statistical analysis methods have been widely used in fault monitoring of large scale and complex industrial processes. Condition Gaussian Network (CGN) provides a way of probabilistic reasoning for continuous process variables, which has gained increasing attention. In this paper, a backward exponential filter is introduce...

Applying fault detection and diagnosis (FDD) technology to the process industry can help to detect faults in time and minimize their impact. The purpose of this study is to propose an enhanced fault diagnosis method under a Conditional Gaussian Network(CGN) efficient and suitable for dynamic processes fault monitoring. The key paths are as follows:...

In view of the randomness in the selection of kernel parameters in the traditional kernel independent component analysis (KICA) algorithm, this paper proposes a CPSO-KICA algorithm based on Chaotic Particle Swarm Optimization (CPSO) and KICA. In CPSO-KICA, the maximum entropy of the extracted independent component is first adopted as the fitness fu...