NDLI: Using Meta-Features to Boost the Performance of Classifier Fusion Schemes for Time Series Data

Content Provider	IEEE Xplore Digital Library
Author	Eklund, N.H.W. Goebel, K.F.
Copyright Year	2006
Description	Author affiliation: One Res. Circle, New York (Eklund, N.H.W.; Goebel, K.F.)
Abstract	Accurate detection of faults and prediction of equipment remaining useful life result in considerable economic benefit to industry due to avoidance of unscheduled downtime and costly secondary damage. This paper described an approach to improving the performance of fault detection schemes that operate on time series data by fusing the results of an ensemble of classifiers that operate on the raw data. A meta-feature is designed to provide an indication of the historical state of other classifiers in the system, and to aid in fusion by allowing the individual classification results to be discounted appropriately. This meta-feature is shown to provide a substantial performance increase for fusion schemes. Data from actual aircraft engine/airframe systems are used to assess the performance of the approach.
Starting Page	3223
Ending Page	3230
File Size	1037487
Page Count	8
File Format	PDF
ISBN	0780394909
DOI	10.1109/IJCNN.2006.247308
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Fault detection Equipment failure Power generation economics Economic forecasting Industrial economics Aircraft propulsion Turbines Job shop scheduling Power generation
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

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