Fig. 2
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First Principle and Data Driven approach comparison.
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As a continuation from the previous work, this paper contributions can be summarized as follows:
The fundamental aspect of theoretical modelling is the existence of structure in the initial development process. The information will determine the final type of model, the accuracy requirement and complexity of the model \citep{czop2011formulation}. According to Fig. \ref{ttps://www.authorea.com/users/227193/articles/433220-untitled-document?mode=edit#author-label-fig:2}, it is either First Principle (FP) where the structure and parameters of the model are known, Data-driven (DD) which both information are unknown, or combination of both methods can be applied to build the model. FP model advantage is a deep understanding of system behaviour, however costly in development as an expert is required in the field. Besides, FP systems are typically modified using a trial-and-error approach to conform a model to the data which can lead to a problem of non-convex optimization \citep{czop2011demonstration}. In the DD model, it adopts a system test data to derive the mathematical representation \citep{winter2019learning}. From this approach, an accurate model can be formed due to the actual data utilization for the system. Nonetheless, the DD model is at a disadvantage in handling multiple data sets to cover the whole system operation. The last method which is First Principle Data-Driven (FPDD) approach or grey box as is an exemplary tool to cover both systems accuracy and flexibility the whole DLE fuel system operation. With a known structure and the availability of the operational data, computational time to estimate the parameter will be reduced and a high accuracy DLE gas turbine fuel system can be obtained.
An actual DLE gas turbine fuel system setup which consists of a pilot and main gas fuel valves is developed according to the gas turbine manual;
Main valve and pilot valve models according to FPDD method using system identification is proposed;
A novel simulation model of DLE gas turbine is designed, integrating its comprehensive fuel system model into Rowen’s model using available operational data.
With the integration, high accuracy model and comprehensive understanding of DLE gas turbine behaviour are acquired for diagnostic, monitoring and fault prediction applications.
The remaining of this paper is organized as follows. Section 2 contains the description of Rowen’s model and the proposed fuel system setup for DLE gas turbine. Section 3 shows the development steps of the main and pilot fuel valve models together with the Rowen integration. Section 4 proposes the simulation model of both valves and DLE gas turbine fuel system. The conclusion and future work for this study are presented in Section 5.
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Rowen’s Model and DLE Gas Turbine
Rowen’s Model