Αποτελέσματα Αναζήτησης
22 Δεκ 2018 · The easiest way (given that there is no equation given) is to extract the data from the published data sheet using software such as Webplotdigitizer then fit a curve to the data. That will get you a matrix of data.
28 Φεβ 2014 · Using the finite element method (FEM) and particle swarm optimization (PSO), a nonlinearity analysis based on parameter optimization is proposed to design an inductive angle sensor.
Abstract - Sensors for the dynamic measurement of mechanical quantities or motion quantities are sometimes subject to a non-linear input-output characteristics. In the case of calibration this may result in deviations of classical calibration results using different methods or different ranges.
Nonlinearity is an important long-time issue for most of the sensors, so to compensate nonlinearity, various linearization schemes are reported in the literature. The accuracy of linearization schemes depends on the type and the nonlinearity value of the sen-sor output.
23 Αυγ 2019 · As many sensors are used for different applications, the linearized characteristics will simplify the design, calibration, and accuracy of the measurement. This paper presents a review of different methods applied to linearize sensor characteristics reported in the literature.
2 Μαΐ 2022 · To make full use of the quality data, a soft sensor model based on a dynamic neural network named nonlinear autoregression with exogenous input (NARX) was designed. Under the supervised framework, the correlations between ordinary process variables and quality variables can be extracted properly by hidden layers. When a multilayer perceptron is ...
23 Αυγ 2019 · Nonlinearity is an important long-time issue for most of the sensors, so to compensate nonlinearity, various linearization schemes are reported in the literature. The accuracy of...
