Modelling, Identification and Fault Diagnosis of a Simulated Model of an Industrial Gas Turbine
Publish Year: 1390
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
POWERPLANT03_061
تاریخ نمایه سازی: 22 مرداد 1391
Abstract:
The objective of this paper is to model, identify, and detect and isolate faults to an industrial gas turbine. The detection scheme is based on the generation of so-called residuals that areerrors between estimated and measured variables of the process. An ARX model is used for residual generation, while for residualevaluation a neural network classifier for MLP is used. The proposed fault detection and isolation tool has been tested on a single-shaft industrial gas turbine model.
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Authors
Iman Yousefi
۱MAPNA Electrical and Control Engineering and Manufacturing Company - MECO
Hamid Khaloozadeh
K. N. Toosi University of Technology