نتایج جستجو برای: industrial two-shaft gas turbine

تعداد نتایج: 2774782  

Pursuant to the high usage of rotating the disk in aircraft gas turbine engine, turbo pumps in oil and gas industries, steam and gas turbines in power plants, marine gas turbine and other industrial rotary machines designing and getting under the mechanical and thermal loading casued this design and analysis to be as a special significance. These disks are subjected to mechanical and thermal lo...

2010
Hamed Dehghan

This study proposed a model-based robust fault detection (RFD) method using soft computing techniques. Robust detection of the possible realistic incipient faults of an industrial gas turbine engine in steady-state conditions is mainly centered. For residual generation a bank of Multi-Layer perceptron (MLP) models, is used, Moreover, in fault detection phase, a passive approach based on Modelli...

2014
H. C. Reuter

R & D Journal of the South African Institution of Mechanical Engineering 2014, 30, 55-67 http://www.saimeche.org.za (open access) © SAIMechE All rights reserved. 55 A variety of working fluid thermodynamic property models are applied in gas turbine performance simulations, potentially giving rise to significant discrepancies in performance prediction. Literature indicates that little attention ...

Journal: :journal of computer and robotics 0
leila shahmohamadi department of electrical engineering, islamic azad university, south tehran branch tehran, iran mahdi aliyarishoorehdeli faculty of electrical engineering, k. n. toosi university of technology tehran, iran sharareh talaie department of electrical engineering, islamic azad university, south tehran branch tehran, iran

in this study, detection and identification of common faults in industrial gas turbines is investigated. we propose a model-based robust fault detection(fd) method based on multiple models. for residual generation a bank of local linear neuro-fuzzy (llnf) models is used. moreover, in fault detection step, a passive approach based on adaptive threshold is employed. to achieve this purpose, the a...

Leila Shahmohamadi Mahdi AliyariShoorehdeli Sharareh Talaie

In this study, detection and identification of common faults in industrial gas turbines is investigated. We propose a model-based robust fault detection(FD) method based on multiple models. For residual generation a bank of Local Linear Neuro-Fuzzy (LLNF) models is used. Moreover, in fault detection step, a passive approach based on adaptive threshold is employed. To achieve this purpose, the a...

2009
N. E. STARKEY K. E. GILBERT

The largest two-shaft gas turbine in the United States has been operated in combined cycle service at the Oklahoma Gas and Electric Company Horseshoe Lake Station since May 1963. The same design unit has been operated in peaking and stand-by service at Public Service Electric and Gas (Essex, N. J.) station since December 1963. The 0.G & E. unit has a NEMA rating of 25 Mw base load. The PSEG uni...

2003
Junxia Mu

This paper presents PID controller designs based on NARMAX and feedforward neural network models of a Spey gas turbine engine. Both models represent the dynamic relationship between the fuel flow and shaft speed. Due to the engine non-linearity, a single set of PID controller parameters is not sufficient to control the gas turbine throughout the operating range. Gain-scheduling PID controllers ...

2015
Saeed Bahrami Ali Ghaffari Magnus Genrup Chang Sik Lee

Single-shaft gas turbine and its cycles are sensitive to frequency drops and, therefore, sudden change loads or large frequency dips might affect their stability. This phenomenon is related to the reduction of the air mass flow passing through the machine during the frequency dips, which might lead to an interaction between governor and temperature control loop. In this paper, the performance o...

2016
M. Mohamed Iqbal R. Joseph Xavier J. Kanakaraj

Biomass is identified as one of the major renewable energy sources for electrical power generation. Heavy duty gas turbine engines are preferred for clean and efficient power generation. An extensive literature survey reveals that the governor droop setting of the heavy duty gas turbines varies from 2 percentage to 10 percentage. But it needs to be optimized for analyzing the dynamic response o...

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