Nonlinear calibration for petroleum water content measurement using PSO

Mingbao Li; Jiawei Zhang

doi:10.1117/12.807644

13 October 2008 Nonlinear calibration for petroleum water content measurement using PSO

Mingbao Li, Jiawei Zhang

Proceedings Volume 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration; 71291W (2008) https://doi.org/10.1117/12.807644
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

Abstract

To improve the measurement precision of the capacitance method for petroleum water content, this paper presents a nonlinear calibration technique based on neural networks. Consider that the traditional BP algorithm has shortcomings of converging slowly and easily trapping a local minimum value, a combination algorithm using particle swarm optimization (PSO) and back propagation (BP) is adopted to train the neural network. It will enable the calibration process with an overall accuracy and a higher converging speed. Simulation results show that this method can effectively eliminate the impact of non-target parameters to the sensor output and has certain project value.

Citation Download Citation

Mingbao Li and Jiawei Zhang "Nonlinear calibration for petroleum water content measurement using PSO", Proc. SPIE 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, 71291W (13 October 2008); https://doi.org/10.1117/12.807644

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