An industrial process fault diagnosis method based on independent slow feature analysis and stacked sparse autoencoder network

CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis

(2023) Diwang Ruan et al.   ADVANCED ENGINEERING INFORMATICS

Independent component analysis application for fault detection in process industries: Literature review and an application case study for fault detection in multiphase flow systems

(2023) Gopika Lakshmi Priya Palla et al.   MEASUREMENT

Fault Detection of Non-Gaussian and Nonlinear Processes Based on Independent Slow Feature Analysis

(2022) Chang Li et al.   ACS Omega

A novel fault diagnosis method of rotating machinery via VMD, CWT and improved CNN

(2022) Jun Gu et al.   MEASUREMENT

Transfer learning based on improved stacked autoencoder for bearing fault diagnosis

(2022) Shuyang Luo et al.   KNOWLEDGE-BASED SYSTEMS

Bearing fault diagnosis and prognosis using data fusion based feature extraction and feature selection

(2021) Sandaram Buchaiah et al.   MEASUREMENT

Quality-relevant dynamic process monitoring based on dynamic total slow feature regression model

(2020) Shifu Yan et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Quality-relevant dynamic process monitoring based on mutual information multiblock slow feature analysis

(2019) Haiyong Zheng et al.   JOURNAL OF CHEMOMETRICS

Extracting Dissimilarity of Slow Feature Analysis between Normal and Different Faults for Monitoring Process Status and Fault Diagnosis

(2019) Haiyong Zheng et al.   JOURNAL OF CHEMICAL ENGINEERING OF JAPAN

Comprehensive process decomposition for closed-loop process monitoring with quality-relevant slow feature analysis

(2019) Yan Qin et al.   JOURNAL OF PROCESS CONTROL

Online monitoring of performance variations and process dynamic anomalies with performance-relevant full decomposition of slow feature analysis

(2019) Jiale Zheng et al.   JOURNAL OF PROCESS CONTROL

Recursive Slow Feature Analysis for Adaptive Monitoring of Industrial Processes

(2018) Chao Shang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Slow feature analysis based batch process monitoring with comprehensive interpretation of operation condition deviation and dynamic anomaly

(2018) Shumei Zhang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Weighted time series fault diagnosis based on a stacked sparse autoencoder

(2017) Feiya Lv et al.   JOURNAL OF CHEMOMETRICS

Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis

(2015) Chao Shang et al.   AICHE JOURNAL

Deep and Shallow Architecture of Multilayer Neural Networks

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

Quality-relevant and process-relevant fault monitoring with concurrent projection to latent structures

(2012) S. Joe Qin et al.   AICHE JOURNAL

Survey on data-driven industrial process monitoring and diagnosis

(2012) S. Joe Qin   ANNUAL REVIEWS IN CONTROL

Monitoring, fault diagnosis, fault-tolerant control and optimization: Data driven methods

(2012) John MacGregor et al.   COMPUTERS & CHEMICAL ENGINEERING

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

Fault detection of non-Gaussian processes based on modified independent component analysis

(2010) Yingwei Zhang et al.   CHEMICAL ENGINEERING SCIENCE

Dynamic independent component analysis approach for fault detection and diagnosis

(2010) George Stefatos et al.   EXPERT SYSTEMS WITH APPLICATIONS