Vibration based predictive maintenance: common rotating machinery faults and their signatures
Predictive maintenance method makes use of human senses or other sensitive instruments like audio gauge, amplitude meter, pressure/ temperature strain gauge, vibration analyzer, etc. In this maintenance, equipment conditions are measured continuously. It helps determine...
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Online Access: | http://irep.iium.edu.my/24591/ http://irep.iium.edu.my/24591/ http://irep.iium.edu.my/24591/4/vibration_based_-_C6.pdf |
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iium-245912012-07-10T06:21:21Z http://irep.iium.edu.my/24591/ Vibration based predictive maintenance: common rotating machinery faults and their signatures Mansor, Siti F. Abdul Muthalif, Asan Gani Zaman, Nurul 'I T Technology (General) TA Engineering (General). Civil engineering (General) Predictive maintenance method makes use of human senses or other sensitive instruments like audio gauge, amplitude meter, pressure/ temperature strain gauge, vibration analyzer, etc. In this maintenance, equipment conditions are measured continuously. It helps determine the condition of in-service equipment in order to predict when maintenance should be performed. Operating cost can be reduced caused by improved efficiency and productivity, and greater utilization of production time. The predictive maintenance philosophy of using vibration information to lower operating costs and increase machinery availability is gaining acceptance throughout the industry. Vibration is one of the methods used to determine machinery condition. It is the most effective method in predictive maintenance. IIUM Press 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/24591/4/vibration_based_-_C6.pdf Mansor, Siti F. and Abdul Muthalif, Asan Gani and Zaman, Nurul 'I (2011) Vibration based predictive maintenance: common rotating machinery faults and their signatures. In: Mechatronics Book Series: System design and Signal Processing - Volume 2. IIUM Press, Kuala Lumpur, pp. 30-37. ISBN 9789674181321 http://rms.research.iium.edu.my/bookstore/default.aspx |
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institution |
International Islamic University Malaysia |
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Online Access |
language |
English |
topic |
T Technology (General) TA Engineering (General). Civil engineering (General) |
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T Technology (General) TA Engineering (General). Civil engineering (General) Mansor, Siti F. Abdul Muthalif, Asan Gani Zaman, Nurul 'I Vibration based predictive maintenance: common rotating machinery faults and their signatures |
description |
Predictive maintenance method makes use of human senses or other sensitive instruments like audio gauge, amplitude meter, pressure/ temperature strain
gauge, vibration analyzer, etc. In this maintenance, equipment conditions are measured continuously. It helps determine the condition of in-service equipment
in order to predict when maintenance should be performed. Operating cost can be reduced caused by improved efficiency and productivity, and greater utilization of production time.
The predictive maintenance philosophy of using vibration information to lower operating costs and increase machinery availability is gaining acceptance
throughout the industry. Vibration is one of the methods used to determine machinery condition. It is the most effective method in predictive maintenance. |
format |
Book Chapter |
author |
Mansor, Siti F. Abdul Muthalif, Asan Gani Zaman, Nurul 'I |
author_facet |
Mansor, Siti F. Abdul Muthalif, Asan Gani Zaman, Nurul 'I |
author_sort |
Mansor, Siti F. |
title |
Vibration based predictive maintenance: common rotating machinery faults and their signatures |
title_short |
Vibration based predictive maintenance: common rotating machinery faults and their signatures |
title_full |
Vibration based predictive maintenance: common rotating machinery faults and their signatures |
title_fullStr |
Vibration based predictive maintenance: common rotating machinery faults and their signatures |
title_full_unstemmed |
Vibration based predictive maintenance: common rotating machinery faults and their signatures |
title_sort |
vibration based predictive maintenance: common rotating machinery faults and their signatures |
publisher |
IIUM Press |
publishDate |
2011 |
url |
http://irep.iium.edu.my/24591/ http://irep.iium.edu.my/24591/ http://irep.iium.edu.my/24591/4/vibration_based_-_C6.pdf |
first_indexed |
2023-09-18T20:36:52Z |
last_indexed |
2023-09-18T20:36:52Z |
_version_ |
1777409104044621824 |