NDLI: Fault diagnosis using Neuro-Fuzzy Transductive Inference algorithm

Content Provider	IEEE Xplore Digital Library
Author	Bo Zhang Jianjun Luo Zhiqiu Chen Shizhen Li
Copyright Year	2008
Description	Author affiliation: Coll. of Astronaut., Northwestern Polytech. Univ., Xi'an (Bo Zhang; Jianjun Luo; Zhiqiu Chen; Shizhen Li)
Abstract	The primary goal of this research is to develop a novel intelligent fault diagnosis method employing neuro-fuzzy transductive inference algorithm (NFTI) in order to solve the the global model application problem, as well as the global availability of the model and sample data set. The method is characterized by that a personal local model which is established for every new fault symptom input data in the fault diagnosis systems, based on some closest samples next to this fault symptom data in an existing sample database. Compared with other similar inductive method (ANFIS - adaptive neuro-fuzzy inference system) on Fisherpsilas Iris data set, the mentioned algorithm classifier has reduced 15% of the average test error and increased approximately 30% of classification speed. Detecting the fault symptom data set sampled from actual aeronautic thrustor test, the presented system can identify accurately three fault states. The results of the research indicate that the availability and efficacy of the fault diagnostic strategy is superior to any other inductive reasoning technique about some fault diagnosis issues.
Starting Page	1
Ending Page	4
File Size	575106
Page Count	4
File Format	PDF
ISBN	9781424439089
DOI	10.1109/ISSCAA.2008.4776196
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis System testing Iris Adaptive systems Databases Fault detection Educational institutions Inference algorithms Mathematical model Fuzzy systems
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