Zhang, Siyu (1995) Development of a hybrid knowledge-based system for condition monitoring and diagnosis of rotating machinery. PhD thesis, Concordia University.
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Abstract
In this research, on-line vibration signals have been used as the primary source of diagnostic data to monitor and diagnose the condition of rotating machinery. Uses AI and expert systems.
| Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical and Industrial Engineering |
|---|---|
| Item Type: | Thesis (PhD) |
| Authors: | Zhang, Siyu |
| Pagination: | xxiii, 284 leaves : ill. ; 29 cm. |
| Institution: | Concordia University |
| Degree Name: | Ph. D. |
| Program: | Mechanical and Industrial Engineering |
| Date: | 1995 |
| Thesis Supervisor(s): | Hoa, S. V. |
| Identification Number: | TJ 177 Z48 1995 |
| ID Code: | 2995 |
| Deposited By: | lib-batchimporter |
| Deposited On: | 27 Aug 2009 19:23 |
| Last Modified: | 13 Jul 2020 19:53 |
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