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Yıl 2015, Cilt: 36 Sayı: 3, 1865 - 1875, 13.05.2015

Meisam Fatahi Hamed Khodadadi

Öz

Diagnosis and remedy of fault in a gas turbine with neural network and adaptive control

Yıl 2015, Cilt: 36 Sayı: 3, 1865 - 1875, 13.05.2015

Meisam Fatahi Hamed Khodadadi

Öz

Abstract. This article is based on a design method of (neural network) in two different modes with the development and application of artificial neural network technique to diagnose (identifying and modeling) using an levenberg-marquardt algorithm and 4 conmon fault applied to gas turbine and then an exact detailed model of the procurement  process and its control units provided and by comparing the output with the same variables in the nerrous pulsing estimates set the modeling and simulation of extraction and the difference they can be identified as residual .And in the next step using the remedy instrument (control instrument maker ADRS) to reach on optimal response in a sensitive , complex and nonlinear gas turbines in order to protect it against the fault progress of gas turbine that leads to adverse events and occurrence of break down that be great deal . the result of simulation of optimum  performance shows the proper function of proposed controller

Anahtar Kelimeler

Gas turbine fault diagnosis levenberg-marquardt algorithm compensation ADRC

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Ayrıntılar

Bölüm Derleme
Yazarlar

Meisam Fatahi

Hamed Khodadadi Bu kişi benim

Yayımlanma Tarihi 13 Mayıs 2015
Yayımlandığı Sayı Yıl 2015 Cilt: 36 Sayı: 3

Kaynak Göster

APA Fatahi, M., & Khodadadi, H. (2015). Diagnosis and remedy of fault in a gas turbine with neural network and adaptive control. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, 36(3), 1865-1875.
AMA Fatahi M, Khodadadi H. Diagnosis and remedy of fault in a gas turbine with neural network and adaptive control. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. Mayıs 2015;36(3):1865-1875.
Chicago Fatahi, Meisam, ve Hamed Khodadadi. “Diagnosis and Remedy of Fault in a Gas Turbine With Neural Network and Adaptive Control”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 36, sy. 3 (Mayıs 2015): 1865-75.
EndNote Fatahi M, Khodadadi H (01 Mayıs 2015) Diagnosis and remedy of fault in a gas turbine with neural network and adaptive control. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 36 3 1865–1875.
IEEE M. Fatahi ve H. Khodadadi, “Diagnosis and remedy of fault in a gas turbine with neural network and adaptive control”, Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, c. 36, sy. 3, ss. 1865–1875, 2015.
ISNAD Fatahi, Meisam - Khodadadi, Hamed. “Diagnosis and Remedy of Fault in a Gas Turbine With Neural Network and Adaptive Control”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 36/3 (Mayıs 2015), 1865-1875.
JAMA Fatahi M, Khodadadi H. Diagnosis and remedy of fault in a gas turbine with neural network and adaptive control. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. 2015;36:1865–1875.
MLA Fatahi, Meisam ve Hamed Khodadadi. “Diagnosis and Remedy of Fault in a Gas Turbine With Neural Network and Adaptive Control”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, c. 36, sy. 3, 2015, ss. 1865-7.
Vancouver Fatahi M, Khodadadi H. Diagnosis and remedy of fault in a gas turbine with neural network and adaptive control. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. 2015;36(3):1865-7.