NDLI: Statistical descriptor of normality based on Hotelling's T/sup 2/ statistic and mixture of Gaussians

Content Provider	IEEE Xplore Digital Library
Author	Dolia, A.
Copyright Year	2002
Description	Author affiliation: Sch. of Commun. & Inf. Technol., Paisley Univ., UK (Dolia, A.)
Abstract	Novelty detection is an issue of primary importance as it can help to provide an improvement in the reliability of machine health monitoring. Novelty detection estimates the model of the normal operating regime or state and verifies whether new data is deviating from its normal operating regime. Feature extraction techniques using vibration data and novelty detection methods based on mixture of Gaussians (MoG), Chebyshev bound, Hotelling's statistic, and support vector machine (SVM) are discussed. A statistical descriptor of normality based on Hotelling's statistic and mixture of Gaussians is proposed. The performance of novelty detection algorithms based on the aforementioned techniques are analyzed for both real-life and artificial (real data with simulated load regime) vibration datasets. The proposed method demonstrates encouraging performance on real datasets with simulated load regime.
Sponsorship	IEEE Signal Process. Soc. IEEE Neural Network Council Swiss Nat. Sci. Found
Starting Page	405
Ending Page	414
File Size	389123
Page Count	10
File Format	PDF
ISBN	0780376161
DOI	10.1109/NNSP.2002.1030052
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-06
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gaussian processes Statistics Support vector machines Condition monitoring State estimation Feature extraction Chebyshev approximation Detection algorithms Performance analysis Algorithm design and analysis
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