Blind Characterisation of Sensors with Second-Order Dynamic Response

Gillespie, Philip; Hung, Peter; Kee, Robert J.; McLoone, Seáan F.

doi:10.1016/j.ifacol.2015.12.175

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…Alternative approaches, such as the difference equation approach presented in Gillespie et al (2015) also convert sensor characterisation into an optimisation problem. For first-order models, the difference equation approach produces a quadratic cost function that can be solved using linear least-squares optimisation techniques.…”

Section: Blind Characterisationmentioning

confidence: 99%

A Bias Compensated Cross-Relation approach to Thermocouple Characterisation

et al. 2016

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The measurement of fast changing temperature fluctuations is a challenging problem due to the inherent limited bandwidth of temperature sensors. This results in a measured signal that is a lagged and attenuated version of the input. Compensation can be performed provided an accurate, parametrised sensor model is available. However, to account for the influence of the measurement environment and changing conditions such as gas velocity, the model must be estimated in-situ. The cross-relation method of blind deconvolution is one approach for in-situ characterisation of sensors. However, a drawback with the method is that it becomes positively biased and unstable at high noise levels. In this paper the cross-relation method is cast in the discrete-time domain and a bias compensation approach is developed. It is shown that the proposed compensation scheme is robust and yields unbiased estimates with lower estimation variance than the uncompensated version. All results are verified using Monte-Carlo simulations.

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Section: Blind Characterisationmentioning

confidence: 99%

A Bias Compensated Cross-Relation approach to Thermocouple Characterisation

et al. 2016

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“…The dynamics of a thermometer sensor, on the other hand, is related to its thermal inertia and thermal resistance occurring along the path between the medium under test, the sensor case and its most important sensitive part reacting for a signal change. Basic factors influencing the thermometer dynamics include [1][2][3][4]:…”

Section: Introductionmentioning

confidence: 99%

Discretization Method of Continuous-Time Dynamic Linear Model

Gryś,

Minkina

2022

International Journal of Electronics and Telecommunications

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The article presents a new discretization method of a continuous-time linear model of sensor dynamics. It can be useful to reduce measuring errors related to the inertia of the sensor. For example it is important in the measurement of rapid processes as temperature changes in combustion chambers, or for shortening the time needed to establish the sensor readings in a transition state. There is assumed that sensor dynamics can be approximated by linear differential equation or transfer function. The searched coefficients of equivalent difference equation or discrete transfer function are obtained from Taylor expansion of a sensor output signal and then on the solution of the linear set of equations. The method does not require decomposition of sensor transfer function for zeros and poles and can be applied to the case of transfer function with zeros equal to zero. The method was used to compensate the dynamics of sensor measuring fast signals. The Bode characteristics of a compensator were compared with others derived using classical methods of discretization of linear models. Additionally, signals in time were presented to show the dynamic error before and after compensation.

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Accurate Compensation of Armored Thermocouple Based on Fireworks Algorithm

Han

Liu

et al. 2021

IEEE Sensors J.

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Blind Characterisation of Sensors with Second-Order Dynamic Response

Cited by 3 publications

References 10 publications

A Bias Compensated Cross-Relation approach to Thermocouple Characterisation

A Bias Compensated Cross-Relation approach to Thermocouple Characterisation

Discretization Method of Continuous-Time Dynamic Linear Model

Accurate Compensation of Armored Thermocouple Based on Fireworks Algorithm

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