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Development of a hybrid knowledge-based system for condition monitoring and diagnosis of rotating machinery

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Development of a hybrid knowledge-based system for condition monitoring and diagnosis of rotating machinery

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 > Faculty 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:Theses (Ph.D.)
Program:Mechanical and Industrial Engineering
Date:1995
Thesis Supervisor(s):Hoa, S. V.
ID Code:2995
Deposited By:Concordia University Libraries
Deposited On:27 Aug 2009 15:23
Last Modified:08 Dec 2010 10:29
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