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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...
In this paper, a multi-model data trend prediction method is proposed for marine diesel engine to the prognosis of faults. According to the data characteristics, the discrete wavelet transform is used to process the data, which can eliminate the noise of the high-frequency and retain the low-frequency signal. The auto-regression, the gray model, the BP neural network and the radial-based neural network...
In order to share the NIRS (near infrared reflectance spectroscopy) calibration model among similar instruments, calibration samples were firstly selected by the Kennard Stone algorithm in the spectrum. Secondly a BP artificial neural network model was established based on the host instrument and could be shared to the slave instrument only when the spectra detected in the slave instrument were processed...
Some analyses and researches are done about networked control systems (NCS) those are based on the new Smith predictor and internal model control (IMC) from the system structures in this paper. The research and simulation results show that the choice of strategy of the new Smith predictor is more flexible than internal model control, but the adjusting parameter of the internal model control is relatively...
Artificial intelligence technique namely artificial neural network (ANN) was used to describe the enzymatic kinetics of cellulose hydrolysis in a heterogeneous system, and compared with response surface methodology (RSM). Three hydrolysis conditions (activity of added cellulase, substrate concentration and time) served as the input of the neural network model, and the glucose content served as the...
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