NDLI: Directional expansion-based fault diagnosis algorithm using orthotopic and ellipsoidal filtering

Content Provider	IET Digital Library
Author	Liu, Zixing Wang, Ziyun Wang, Yan Park, Ju H. Ji, Zhicheng
Abstract	For solving the problem of fault diagnosis for systems with unknown but bounded noises, a directional expansion-based fault diagnosis algorithm using orthotopic and ellipsoidal filtering is proposed in this study. In this fault diagnosis process, whether the system is faulty or not is checked by detecting whether the ellipsoidal feasible set is empty. When the ellipsoidal feasible set is empty, the specific faulty components are isolated based on the empty state of the test ellipsoidal sets. The orthotopic set is expanded in the faulty directions alone to minimise the set containing the fault parameter vector. Finally, comparative analyses of the proposed fault diagnosis algorithm and global expansion-based fault diagnosis algorithm using the orthotopic and ellipsoidal filtering in both numerical and case simulations prove the effectiveness and practicability of the proposed algorithm and show the advantages of this algorithm in view of convergence rate and fault identification speed.
Starting Page	2836
Ending Page	2846
Page Count	11
ISSN	17518644
Volume Number	14
e-ISSN	17518652
Issue Number	Issue 18, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/14/18
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2020.0029
Journal	IET Control Theory & Applications
Publisher Date	2020-09-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Combinatorial Mathematics Convergence Rate Directional Expansion-based Fault Diagnosis Algorithm Ellipsoidal Feasible Set Ellipsoidal Filtering Fault Diagnosis Fault Diagnosis Process Fault Identification Speed Fault Parameter Vector Faulty Directions Filtering Theory Global Expansion-based Fault Diagnosis Algorithm Modelling And Identification Orthotopic Filtering Orthotopic Set Set Theory Signal Processing Theory Simulation Test Ellipsoidal Sets
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

Orthotopic-filtering-based hierarchical fault diagnosis algorithm for linear recursive models

Iterative parameter identification for pseudo-linear systems with ARMA noise using the filtering technique

Filtering-based iterative identification for multivariable systems

Recursive parameter estimation and its convergence for bilinear systems

Controlled invariance-based fault detection for multisensory control systems

Improved niche genetic algorithm based parameter identification of excitation system considering parameter identifiability

Improved differential evolution algorithm of model-based diagnosis in traction substation fault diagnosis of high-speed railway

A novel set-membership control strategy for discrete-time linear time-varying systems

Ellipsoidal state estimation based on sum of squares for non-linear systems with unknown but bounded noise

Directional expansion-based fault diagnosis algorithm using orthotopic and ellipsoidal filtering

Similar Documents

Orthotopic-filtering-based hierarchical fault diagnosis algorithm for linear recursive models

Iterative parameter identification for pseudo-linear systems with ARMA noise using the filtering technique

Filtering-based iterative identification for multivariable systems

Recursive parameter estimation and its convergence for bilinear systems

Controlled invariance-based fault detection for multisensory control systems

Improved niche genetic algorithm based parameter identification of excitation system considering parameter identifiability

Improved differential evolution algorithm of model-based diagnosis in traction substation fault diagnosis of high-speed railway

A novel set-membership control strategy for discrete-time linear time-varying systems

Ellipsoidal state estimation based on sum of squares for non-linear systems with unknown but bounded noise

Directional expansion-based fault diagnosis algorithm using orthotopic and ellipsoidal filtering