Embedded intelligence for manufacturing prognostics
156 p.
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2010
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| Online Access: | http://hdl.handle.net/10356/36112 |
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sg-ntu-dr.10356-361122023-03-11T17:07:09Z Embedded intelligence for manufacturing prognostics Bo Bo Wai Maung. Lee Yong Tsui School of Mechanical and Aerospace Engineering DRNTU::Engineering::Manufacturing 156 p. Today manufacturing system needs comprehensive maintenance technology and methodology that enable the zero downtime system failure. The system breakdown impairs the cooperate objectives of manufacturing cost, product quality, new product introduction speed and environmental safety. To accomplish minimum downtime, various research has been carried out in recent years with the emphasis of preventive and predictive maintenance. Condition based maintenance is one kind of predictive maintenance system, used to detect the faults of the system only when they are occurred or likely to occur. While the underlying fault detection methodologies and techniques are becoming mature, the condition based maintenance techniques are enhanced with high level decision-making features such as diagnostics and prognostics. Master of Science 2010-04-23T02:28:45Z 2010-04-23T02:28:45Z 2006 2006 Thesis http://hdl.handle.net/10356/36112 application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| topic |
DRNTU::Engineering::Manufacturing |
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DRNTU::Engineering::Manufacturing Bo Bo Wai Maung. Embedded intelligence for manufacturing prognostics |
| description |
156 p. |
| author2 |
Lee Yong Tsui |
| author_facet |
Lee Yong Tsui Bo Bo Wai Maung. |
| format |
Theses and Dissertations |
| author |
Bo Bo Wai Maung. |
| author_sort |
Bo Bo Wai Maung. |
| title |
Embedded intelligence for manufacturing prognostics |
| title_short |
Embedded intelligence for manufacturing prognostics |
| title_full |
Embedded intelligence for manufacturing prognostics |
| title_fullStr |
Embedded intelligence for manufacturing prognostics |
| title_full_unstemmed |
Embedded intelligence for manufacturing prognostics |
| title_sort |
embedded intelligence for manufacturing prognostics |
| publishDate |
2010 |
| url |
http://hdl.handle.net/10356/36112 |
| _version_ |
1761781281639628800 |