NDLI: Quality-relevant fault monitoring based on efficient projection to latent structures with application to hot strip mill process

Please wait, while we are loading the content...

Data-driven terminal iterative learning control with high-order learning law for a class of non-linear discrete-time multiple-input–multiple output systems

Editorial: IET Control Theory & Applications Volume 9, Issue 7, April 1

Erratum: Comparison of the existing tool localisation methods on two-dimensional ultrasound images and their tracking results

Fatigue damage estimation and data-based control for wind turbines

Fault detection and identification of non-linear hybrid system using self-switched sigma point filter bank

Fault diagnosis based on parameter estimation in closed-loop systems

Gaussian mixture regression and local linear network model for data-driven estimation of air mass

Medium-frequency disturbance attenuation for the spacecraft via virtual-gimbal tilting of the magnetically suspended reaction wheel

Quality-relevant fault monitoring based on efficient projection to latent structures with application to hot strip mill process

Robust global identification of linear parameter varying systems with generalised expectation–maximisation algorithm

Volume 9 (2015) : Issue 6, Apr

Volume 9 (2015) : Issue 5, Mar

Volume 9 (2015) : Issue 4, Feb

Volume 9 (2015) : Issue 3, Feb

Volume 9 (2015) : Issue 2, Jan

Volume 9 (2015) : Issue 1, Jan

IET Cyber-Physical Systems: Theory & Applications

IET Cyber-Systems and Robotics

IET Electric Power Applications

IET Electrical Systems in Transportation

IET Energy Systems Integration

IET Generation, Transmission & Distribution

IET Image Processing

IET Information Security

IET Intelligent Transport Systems

IET Microwaves, Antennas & Propagation

IET Nanobiotechnology

IET Nanodielectrics

IET Networks

IET Optoelectronics

IET Power Electronics

IET Quantum Communication

IET Radar, Sonar & Navigation

IET Renewable Power Generation

IET Science, Measurement & Technology

IET Signal Processing

IET Wireless Sensor Systems

Micro & Nano Letters

The Journal of Engineering

Quality-relevant fault monitoring based on efficient projection to latent structures with application to hot strip mill process

Content Provider	IET Digital Library
Author	Peng, Kaixiang Zhang, Kai You, Bo Dong, Jie
Abstract	In this study, a new statistical monitoring technique based on efficient projection to latent structures (EPLS) is proposed for quality-relevant fault detection in multivariate processes that exhibit collinear measurements. The algorithm decomposes process variables into three subspaces according to singular value decomposition (SVD) and principal component analysis. This method effectively solves the problems of real-time and effectiveness in the quality-relevant fault diagnosis of industrial processes. EPLS takes full advantage of good nature of SVD. As a result, the calculation of the projection process is greatly reduced. It is reasonable that the process data space was projected to three subspaces, a quality-relevant subspace, a quality-irrelevant subspace and a residual subspace. EPLS algorithm not only effectively avoids the tedious iterative calculation, but also makes more explicit spatial resolution. The framework of quality-relevant fault monitoring based on EPLS algorithm was proposed as well in this study. A challenging problem, real industrial hot strip mill process, is used to illustrate the effectiveness of the proposed method.
Starting Page	1135
Ending Page	1145
Page Count	11
ISSN	17518644
Volume Number	9
e-ISSN	17518652
Issue Number	Issue 7, Apr (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/9/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2014.0732
Journal	IET Control Theory & Applications
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Collinear Measurement Efficient Projection to Latent Structures EPLS Algorithm Fault Diagnosis Forming Processes Heat Treatment Hot Rolling Hot Strip Mill Process Industrial Processes Inspection And Quality Control Maintenance And Reliability Metallurgical Industries Milling Machine Multivariate Processes Principal Component Analysis Process Monitoring Process Variables Decomposition Production Equipment Quality Control Quality-irrelevant SubSpace Quality-relevant Fault Diagnosis Quality-relevant Fault Monitoring Quality-relevant SubSpace Residual SubSpace Singular Value Decomposition Spatial Resolution Statistical Monitoring Technique Statistics SVD
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Fault diagnosis using kernel principal component analysis for hot strip mill

Generalized Reconstruction-Based Contributions for Output-Relevant Fault Diagnosis With Application to the Tennessee Eastman Process

New kernel independent and principal components analysis-based process monitoring approach with application to hot strip mill process

Modeling and Monitoring for Laminar Cooling Process of Hot Steel Strip Rolling with Time–Space Nature

Multispace Total Projection to Latent Structures and its Application to Online Process Monitoring

Designing of Hot Strip Rolling Mill Control System

An Initial Model for Control of a Tandem Hot Metal Strip Rolling Process

Actuator fault detection, isolation method and state estimator design for hot rolling mill monitoring

Actuator fault detection, isolation method and state estimator design for hot rolling mill monitoring

Quality-relevant fault monitoring based on efficient projection to latent structures with application to hot strip mill process

Similar Documents

Fault diagnosis using kernel principal component analysis for hot strip mill

Generalized Reconstruction-Based Contributions for Output-Relevant Fault Diagnosis With Application to the Tennessee Eastman Process

New kernel independent and principal components analysis-based process monitoring approach with application to hot strip mill process

Modeling and Monitoring for Laminar Cooling Process of Hot Steel Strip Rolling with Time–Space Nature

Multispace Total Projection to Latent Structures and its Application to Online Process Monitoring

Designing of Hot Strip Rolling Mill Control System

An Initial Model for Control of a Tandem Hot Metal Strip Rolling Process

Actuator fault detection, isolation method and state estimator design for hot rolling mill monitoring

Actuator fault detection, isolation method and state estimator design for hot rolling mill monitoring

Quality-relevant fault monitoring based on efficient projection to latent structures with application to hot strip mill process