NDLI: Web-based monitoring and fault diagnostics of machinery

Content Provider	IEEE Xplore Digital Library
Author	Jarrah, M.A. Al-Ali, A.R.
Copyright Year	2004
Description	Author affiliation: Sch. of Eng., American Univ. of Sharjah, United Arab Emirates (Jarrah, M.A.)
Abstract	This paper presents online Web-based machine fault monitoring, prediction and diagnosis system. In addition, remote and local clients have some limited control function such as on/off are added. Online video images are provided via a Web camera. Neural networks and fuzzy computing techniques are used to analysis, diagnose and predict the machine behavior. An experimental laboratory structure consists of a rotor with two rigid discs and a flexible shaft was designed, installed and tested. A v notch crack was introduced at various depths and locations along the shaft. Frequency response measurements were collected for the various combinations of crack depth and location. A neural network and fuzzy logic algorithms were designed to learn part of the test results while predicting the others. Frequency and time responses as well as the soft computing results were published over the World Wide Web in real time. Users can access the system anytime using local networks and the system URL.
Starting Page	525
Ending Page	530
File Size	413773
Page Count	6
File Format	PDF
ISBN	0780385993
DOI	10.1109/ICMECH.2004.1364494
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-05
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Condition monitoring Machinery Remote monitoring Neural networks Shafts Fault diagnosis Cameras Fuzzy neural networks Computer networks Laboratories
Content Type	Text
Resource Type	Article

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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
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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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