Weighted time series fault diagnosis based on a stacked sparse autoencoder

Dynamic higher-order cumulants analysis for state monitoring based on a novel lag selection

(2016) Guijin Jia et al.   INFORMATION SCIENCES

Improved PLS Focused on Key-Performance-Indicator-Related Fault Diagnosis

(2015) Shen Yin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Comprehensive Subspace Decomposition with Analysis of Between-Mode Relative Changes for Multimode Process Monitoring

(2015) Chunhui Zhao et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep and Shallow Architecture of Multilayer Neural Networks

(2015) Chih-Hung Chang   IEEE Transactions on Neural Networks and Learning Systems

Scene Recognition by Manifold Regularized Deep Learning Architecture

(2015) Yuan Yuan et al.   IEEE Transactions on Neural Networks and Learning Systems

Fault-relevant Principal Component Analysis (FPCA) method for multivariate statistical modeling and process monitoring

(2014) Chunhui Zhao et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

An approach to fault diagnosis of reciprocating compressor valves using Teager–Kaiser energy operator and deep belief networks

(2014) Van Tung Tran et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fault detection and classification in chemical processes using NMFSC and structural SVMs

(2013) Yi Peng et al.   CANADIAN JOURNAL OF CHEMICAL ENGINEERING

From Model, Signal to Knowledge: A Data-Driven Perspective of Fault Detection and Diagnosis

(2013) Xuewu Dai et al.   IEEE Transactions on Industrial Informatics

A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process

(2012) Shen Yin et al.   JOURNAL OF PROCESS CONTROL

Neural networks applied in chemistry. I. Determination of the optimal topology of multilayer perceptron neural networks

(2011) Silvia Curteanu et al.   JOURNAL OF CHEMOMETRICS

A semi-supervised approach to fault diagnosis for chemical processes

(2010) Isaac Monroy et al.   COMPUTERS & CHEMICAL ENGINEERING

A novel process monitoring approach with dynamic independent component analysis

(2009) Chun-Chin Hsu et al.   CONTROL ENGINEERING PRACTICE

Subspace method aided data-driven design of fault detection and isolation systems

(2009) S.X. Ding et al.   JOURNAL OF PROCESS CONTROL

Improved Batch Process Monitoring and Quality Prediction Based on Multiphase Statistical Analysis

(2008) Chunhui Zhao et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH