The main goal of this paper is to design and develop a fault detection and isolation (FDI)
scheme for aircraft gas turbine engines by using neural networks. Towards this end, first for …

During recent decades, artificial intelligence has been employed as a powerful tool for
identification of complex industrial systems with nonlinear dynamics, such as gas turbines …

Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides
new approaches and novel solutions to the modeling, simulation, and control of gas turbines …

Small-scale distributed generation systems are expected to play a vital role in future energy
supplies. Subsequently, power generation using micro-gas turbine (MGT) is getting more …

This thesis investigates novel methodologies for modelling, simulation and control of gas
turbines using ANNs. In the field of modelling and simulation, two different types of gas …

Modeling and control of the heating feature of living spaces remain challenging tasks
because of the intrinsic nonlinear nature of the involved processes as well as the strong …

Dry Low Emission (DLE) operation mode for gas turbine is introduced to reduce nitrogen
oxide (NOx) emission and to meet current stringent environment regulation imposed on gas …

Gas turbines are internal combustion engines widely used in industry as main source of
power for aircrafts, turbo-generators, turbo-pumps and turbo-compressors. Modelling these …

针对燃烧调整过程中易发生燃烧失稳且难以及时干预的问题, 根据某型燃气轮机燃烧调整过程
特征, 利用改进的粒子群算法(PSO) 优化Elman 神经网络, 将影响机组运行状态的参数作为输入 …

A variety of analytical and experimental methods have been suggested so far for industrial
system modelling. However, the need for optimized models for different objectives and …