Calibration of an electronically scanned white-light interferometric transducer for measurements of high pressure

Huang, Shi Feng; Morawski, Roman Z.; Barwicz, A.; Bock, Wojtek J.; Urbańczyk, Wacław

doi:10.1109/19.387312

Cited by 6 publications

(2 citation statements)

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“…It usually needs a variety of transducers to conduct a measurement task in engineering practice. According to the dimensions of input and output, transducers can be classified as single input-single output (SISO) transducers [7,17,27] and multi input-multi output (MIMO) transducers [4,10,26]. Generally, the transducer systems are constructed to be linear in response and the nominal input-output models are given by manufacturers.…”

Section: Introductionmentioning

confidence: 99%

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Hybrid neural network models of transducers

Xie

Zhang

Chen

et al. 2011

Meas. Sci. Technol.

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A hybrid neural network (NN) approach is proposed and applied to modeling of transducers in the paper. The modeling procedures are also presented in detail. First, the simulated studies on the modeling of single input–single output and multi input–multi output transducers are conducted respectively by use of the developed hybrid NN scheme. Secondly, the hybrid NN modeling approach is utilized to characterize a six-axis force sensor prototype based on the measured data. The results show that the hybrid NN approach can significantly improve modeling precision in comparison with the conventional modeling method. In addition, the method is superior to NN black-box modeling because the former possesses smaller network scale, higher convergence speed, higher model precision and better generalization performance.

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Section: Introductionmentioning

confidence: 99%

“…It is recognized that the modeling accuracy greatly depends on the form of the assumed model. In some situations, the identified polynomial models can describe the input-output relationships of SISO transducers with fair accuracy [7,17]. Nevertheless, it is not always the case.…”

Section: Introductionmentioning

confidence: 99%