NDLI: Fuzzy Model Identification of a Sugar Cane Crushing Process for Fault Diagnosis Application

Content Provider	IEEE Xplore Digital Library
Author	Simani, S.
Copyright Year	2005
Description	Author affiliation: Dipartimento di Ingegneria, Università di Ferrara, Via Saragat 1, 44100 Ferrara, Italy. ssimani@ing.unife.it (Simani, S.)
Abstract	This work proposes a method for input–output sensor fault detection and isolation of an industrial processes using fuzzy process models. The presented technique concerns the identification of a piecewise affine fuzzy system based on Takagi–Sugeno models. The process under investigation may, in fact, be represented as a composition of several Takagi-Sugeno models selected according to the process operating conditions. This work also addresses a method for the identification of the local Takagi-Sugeno models from a sequence of noisy measurements acquired from the real process. The fault detection scheme adopted to generate residuals uses the Takagi-Sugeno fuzzy model. The developed technique was applied to fault diagnosis of input-output sensors of a sugar cane crushing mill.
Starting Page	2053
Ending Page	2057
File Size	139895
Page Count	5
File Format	PDF
ISBN	0780395670
DOI	10.1109/CDC.2005.1582463
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-12-15
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	IEEE/EUCA
Subject Keyword	Fault diagnosis Sugar industry Fault detection Takagi-Sugeno model Mathematical model Fuzzy systems Equations Milling machines Fuzzy logic Fuzzy set theory
Content Type	Text
Resource Type	Article

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

An approach for fault detection and identification in PL/INS navigation system

FLEXFIS: A Variant for Incremental Learning of Takagi-Sugeno Fuzzy Systems

Sliding mode observers for T-S fuzzy systems with application to sensor fault estimation

Fault-tolerant model-based predictive control using multiple Takagi-Sugeno fuzzy models

Takagi-Sugeno Intuitionsitic Fuzzy Inference Systems Based on Game Theory

A Takagi-Sugeno Fuzzy Model of a Rudimentary Angle Controller for Artillery Fire

Limit equation of fuzzy relation and its application

Fault detection and isolation problem: Sliding mode fuzzy observers and neural networks

Ftsm - fast takagi-sugeno fuzzy modeling (2000).

Fuzzy Model Identification of a Sugar Cane Crushing Process for Fault Diagnosis Application

Similar Documents

An approach for fault detection and identification in PL/INS navigation system

FLEXFIS: A Variant for Incremental Learning of Takagi-Sugeno Fuzzy Systems

Sliding mode observers for T-S fuzzy systems with application to sensor fault estimation

Fault-tolerant model-based predictive control using multiple Takagi-Sugeno fuzzy models

Takagi-Sugeno Intuitionsitic Fuzzy Inference Systems Based on Game Theory

A Takagi-Sugeno Fuzzy Model of a Rudimentary Angle Controller for Artillery Fire

Limit equation of fuzzy relation and its application

Fault detection and isolation problem: Sliding mode fuzzy observers and neural networks

Ftsm - fast takagi-sugeno fuzzy modeling (2000).

Fuzzy Model Identification of a Sugar Cane Crushing Process for Fault Diagnosis Application