Fault diagnosis for gas turbines based on the control system

Citation
A. Guasch et al., Fault diagnosis for gas turbines based on the control system, ENG APP ART, 13(4), 2000, pp. 477-484
Citations number
10
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
ISSN journal
09521976 → ACNP
Volume
13
Issue
4
Year of publication
2000
Pages
477 - 484
Database
ISI
SICI code
0952-1976(200008)13:4<477:FDFGTB>2.0.ZU;2-0
Abstract
This paper shows two different approaches for improving the fault diagnosis of gas turbines. They are based on the use of the information embedded wit hin the control system. The first approach consists of the automatic develo pment of a troubleshooting system which can be automatically built using th e deterministic knowledge embedded within the Programmable Logic Controller (PLC). This system tries to overcome diagnosis deficiencies present especi ally in older gas turbines PLC controllers, The second approach is based on the analysis of the digital control system to detect the Faults in the fee dback systems (actuators, components or sensors), such is the case of gas t urbines. The interaction between the system and the control system allows t o use the information of the control system to detect faults in the system. An example of the second stage nozzles of the turbines illustrates this ap proach. (C) 2000 Elsevier Science Ltd. All rights reserved.