Development of acoustic emission diagnostic system for condition monitoring of rotating machines
Numerous condition monitoring (CM) techniques and identification algorithms for detection and diagnosis of rotating machinery faults have been proposed for the past few years. Bearing are the common used elements in almost all rotating machinery. It causes the machine failure upon getting faulty. Th...
保存先:
| 主要な著者: | , |
|---|---|
| フォーマット: | Conference or Workshop Item |
| 出版事項: |
2008
|
| 主題: | |
| オンライン･アクセス: | http://eprints.utp.edu.my/437/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-63049129619&partnerID=40&md5=255fcabe6acaf2b497e851f9f424f72d http://eprints.utp.edu.my/437/ |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
| id |
my.utp.eprints.437 |
|---|---|
| record_format |
eprints |
| spelling |
my.utp.eprints.4372017-01-19T08:26:38Z Development of acoustic emission diagnostic system for condition monitoring of rotating machines N., Saad M.A.A., Elmaleeh TK Electrical engineering. Electronics Nuclear engineering Numerous condition monitoring (CM) techniques and identification algorithms for detection and diagnosis of rotating machinery faults have been proposed for the past few years. Bearing are the common used elements in almost all rotating machinery. It causes the machine failure upon getting faulty. Therefore advance and effective inspection techniques are required to monitor and detect the bearing problems at incipient stages. This avoids catastrophic machine failure and costly unplanned shutdown. In this paper the acoustic emission (AE) monitoring system is established. It discusses a method based on time and frequency domain analysis of AE signals acquired from bearings assembly. A real time measurement system is developed. It utilizes LabVIEW to process and analyze the data to provide valuable information regarding the process being monitored. ©2008 IEEE. 2008 Conference or Workshop Item NonPeerReviewed application/pdf http://eprints.utp.edu.my/437/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-63049129619&partnerID=40&md5=255fcabe6acaf2b497e851f9f424f72d N., Saad and M.A.A., Elmaleeh (2008) Development of acoustic emission diagnostic system for condition monitoring of rotating machines. In: 2008 IEEE 2nd International Power and Energy Conference, PECon 2008, 1 December 2008 through 3 December 2008, Johor Baharu. http://eprints.utp.edu.my/437/ |
| institution |
Universiti Teknologi Petronas |
| building |
UTP Resource Centre |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Petronas |
| content_source |
UTP Institutional Repository |
| url_provider |
http://eprints.utp.edu.my/ |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering N., Saad M.A.A., Elmaleeh Development of acoustic emission diagnostic system for condition monitoring of rotating machines |
| description |
Numerous condition monitoring (CM) techniques and identification algorithms for detection and diagnosis of rotating machinery faults have been proposed for the past few years. Bearing are the common used elements in almost all rotating machinery. It causes the machine failure upon getting faulty. Therefore advance and effective inspection techniques are required to monitor and detect the bearing problems at incipient stages. This avoids catastrophic machine failure and costly unplanned shutdown. In this paper the acoustic emission (AE) monitoring system is established. It discusses a method based on time and frequency domain analysis of AE signals acquired from bearings assembly. A real time measurement system is developed. It utilizes LabVIEW to process and analyze the data to provide valuable information regarding the process being monitored. ©2008 IEEE.
|
| format |
Conference or Workshop Item |
| author |
N., Saad M.A.A., Elmaleeh |
| author_facet |
N., Saad M.A.A., Elmaleeh |
| author_sort |
N., Saad |
| title |
Development of acoustic emission diagnostic system for condition monitoring of rotating machines
|
| title_short |
Development of acoustic emission diagnostic system for condition monitoring of rotating machines
|
| title_full |
Development of acoustic emission diagnostic system for condition monitoring of rotating machines
|
| title_fullStr |
Development of acoustic emission diagnostic system for condition monitoring of rotating machines
|
| title_full_unstemmed |
Development of acoustic emission diagnostic system for condition monitoring of rotating machines
|
| title_sort |
development of acoustic emission diagnostic system for condition monitoring of rotating machines |
| publishDate |
2008 |
| url |
http://eprints.utp.edu.my/437/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-63049129619&partnerID=40&md5=255fcabe6acaf2b497e851f9f424f72d http://eprints.utp.edu.my/437/ |
| _version_ |
1738655065419284480 |
| score |
13.251813 |