Programmable low-power wireless sensors network for vibration monitoring and analysis

International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.

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Bibliographic Details
Main Authors: Jaafar Alsalaet, Saleh I. Najem, Abduladhem Ali
Other Authors: jaafarkhalaf@yahoo.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/20714
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spelling my.unimap-207142012-08-15T09:01:07Z Programmable low-power wireless sensors network for vibration monitoring and analysis Jaafar Alsalaet Saleh I. Najem Abduladhem Ali jaafarkhalaf@yahoo.com prosismael@yahoo.com abduladem1@yahoo.com Wireless sensors network Condition monitoring Vibration analysis International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. Wireless sensors networks have been widely applied for monitoring and structural analysis in the last years. In this work, a low cost, energy saving, high speed and programmable wireless sensors network has been introduced. Each sensor can be programmed individually to perform level measurement at regular intervals, data streaming at programmable sampling rate or event detector. The high speed capability of the proposed wireless nodes inline with its power minimization efficiency permits their application not only in structural analysis tasks which require intermediate sampling rates, but also in diagnostic analysis which require high sampling rate. The nodes can quickly and easily be installed to any machinery or structure in order to construct a powerful vibration monitoring and analysis system, whether it is permanent or portable for further analysis and diagnosis. The accuracy and efficiency of the proposed system were investigated by several experimental tests. 2012-08-15T09:01:07Z 2012-08-15T09:01:07Z 2012-02-27 Working Paper http://hdl.handle.net/123456789/20714 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Wireless sensors network
Condition monitoring
Vibration analysis
spellingShingle Wireless sensors network
Condition monitoring
Vibration analysis
Jaafar Alsalaet
Saleh I. Najem
Abduladhem Ali
Programmable low-power wireless sensors network for vibration monitoring and analysis
description International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
author2 jaafarkhalaf@yahoo.com
author_facet jaafarkhalaf@yahoo.com
Jaafar Alsalaet
Saleh I. Najem
Abduladhem Ali
format Working Paper
author Jaafar Alsalaet
Saleh I. Najem
Abduladhem Ali
author_sort Jaafar Alsalaet
title Programmable low-power wireless sensors network for vibration monitoring and analysis
title_short Programmable low-power wireless sensors network for vibration monitoring and analysis
title_full Programmable low-power wireless sensors network for vibration monitoring and analysis
title_fullStr Programmable low-power wireless sensors network for vibration monitoring and analysis
title_full_unstemmed Programmable low-power wireless sensors network for vibration monitoring and analysis
title_sort programmable low-power wireless sensors network for vibration monitoring and analysis
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/20714
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score 13.214268