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A Model-Based Method for an Online Diagnostic Knowledge-Based System

journal contribution
posted on 2023-06-08, 00:22 authored by Chrissanthi Angeli, Derek Atherton
Fault diagnosis is very important for modern production technology and has received increasing theoretical and practical attention during the last few years. This paper presents a model-based diagnostic method for industrial systems. An online, real-time, deep knowledge based fault detection system has been developed by combining different development environments and tools. The system diagnoses, predicts and compensates faults by coupling symbolic and numerical data in a new environment suitable for the interaction of different sources of knowledge and has been successfully implemented and tested on a real hydraulic system.

History

Publication status

  • Published

Journal

Expert Systems

ISSN

0266-4720

Issue

3

Volume

18

Page range

150-158

Pages

8.0

Department affiliated with

  • Engineering and Design Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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