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To prove to a customer that a new or overhauled gas turbine satisfies its contractual performance, mechanical and emissions target, an acceptance test is normally performed by the manufacturer. Such acceptance tests typically involve running the turbine through its operational envelope based on a predefined test schedule, with information regarding the thermodynamic and mechanical performance as well...
In this paper, an off-design performance prediction model for a single shaft industrial gas turbine (IGT) using Microsoft Excel with Visual Basic for Applications (VBA) programming is presented. The modelling architecture is comprised of fundamental thermodynamic equations describing the performance of IGTs. A graphical user interface has been constructed to allow an easy interaction of the model...
The objective of this paper is to estimate the compressor discharge temperature measurements on an industrial gas turbine that is undergoing commissioning at site, using a data-driven model which is built using the test bed measurements of the engine. This paper proposes a Bayesian neuro-fuzzy modelling (BNFM) approach, which combines the adaptive neuro-fuzzy inference system (ANFIS) and variational...
In this study, the performance of a twin-shaft Industrial Gas Turbine (IGT) at fouling conditions is simulated through a Simulink model based on fundamental thermodynamics. Engine measurements across a twin-shaft IGT system during compressor fouling conditions were considered to validate this study. By implementing correlation coefficients in the compressor model, it is possible to predict the performance...
This paper focuses on industrial application of start-up vibration signature analysis for novelty detection with experimental trials on industrial gas turbines (IGTs). Firstly, a representative vibration signature is extracted from healthy start-up vibration measurements through the use of an adaptive neuro-fuzzy inference system (ANFIS). Then, the first critical speed and the vibration level at the...
Indirect air cooling technology for its water-saving, high heat transfer efficiency and low coal consumption on, has become preferred for large thermal power generating units. Research and improvement of indirect cooling automatic control technology, strengthen the indirect air cooling system antifreeze protection, is critical for improving the running stability and security. This paper introduced...
The paper proposes a new Adaptive Mamdani Fuzzy Model (AMFM) based system modelling methodology that improves on traditional Mamdani fuzzy rule based system (FRBS) techniques through use of alternative membership functions and a defuzzification mechanism that is ‘differentiable’, allowing a back error propagation (BEP) algorithm to refine the initial fuzzy model. Moreover, a variational Bayesian (VB)...
The paper applies the application of Gaussian mixture models (GMMs) for operational pattern discrimination and novelty/fault detection for an industrial gas turbine (IGT). Variational Bayesian GMM (VBGMM) is used to automatically cluster operational data into steady-state and transient responses, where extraction of steady-state data is an important preprocessing scenario for fault detection. Important...
In allusion to the serious inadequacy of power grid peak-load regulation during the heating period in north China, it is studied the peak-load regulation capacity for heating units during the heating seasons in this paper. Combining the calculations of the equivalent heat drop theory and the peak-load regulation experiments on heating units, the scientific thermal curve mathematical model of peak-load...
The paper presents a new system identification methodology for industrial systems. Using the original Mamdani fuzzy rule based system (FRBS), an adaptive Mamdani fuzzy modeling (AMFM) is introduced in this paper. It differs from the original Mamdani FRBS in that it applies different membership functions and a denazification mechanism that is ‘differentiable’ with respect to the membership function...
The paper presents a readily implementable approach for sensor fault detection, identification (SFD/I) and faulted sensor data reconstruction in complex systems based on self-organizing map neural networks (SOMNNs). Two operational regimes are considered, i.e. the steady operation and operation with transients. For steady operation, SOMNN based estimation error (EE) are used for SFD. EE contribution...
With the development of e-commerce and internet, the retrieval and reuse methodology of a great deal of faults diagnosis and treatment case knowledge in databases of remote center is a key technology in remote diagnosis and e-maintenance. In this article, firstly, the basic method and shortcoming of retrieval mechanism of CBR system is analyzed. The Manhattan distance and fuzzy method based similarity...
Due to the complication of marine steam turbine system, and the nonlinearity, uncertainty and complexity of the steam turbine model, the conventional speed regulation system can no longer meet our requirement. Fuzzy neural network (FNN) is applied to the complex process modeling and logical inference. In this paper modular modeling methods is used to establish the model of steam turbine. So a new...
Turbine supercharged set is used to supply high pressure combustion-supporting air. But the control for combustion-supporting air flux is a control with the characteristics of time-varying and nonlinearity and complex coupling. It is difficult to get the good performance through the traditional control mode. Evaluating of the characteristics of fuzzy control with quick dynamic response, good robustness...
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