Likun Yuan
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View article: A Pointer Meter Reading Algorithm based on YOLOv8 and Digital Recognition
A Pointer Meter Reading Algorithm based on YOLOv8 and Digital Recognition Open
In the petroleum production monitoring field, the pointer meters are widely used. Recently, instead of manual inspection, using inspection robots to read pointer meters has become a new trend. In this paper, combined with the characteristi…
View article: Chemical process modelling using the extracted informative data sets based on attenuating excitation inputs
Chemical process modelling using the extracted informative data sets based on attenuating excitation inputs Open
Operation designs on rapid developed advanced chemical processes require proper models and parameter identification of these models needs input-output data sets with high information content. The optimal parameter identification experiment…
View article: Automatic microseismic events detection using morphological multiscale top-hat transformation
Automatic microseismic events detection using morphological multiscale top-hat transformation Open
The occurrence of microseismic is not random but is related to the physical properties of the underground medium. Due to the low intensity and the influence of noise, microseismic eventually lead to poor signal-to-noise ratio. We proposed …
View article: An Over-Sampling Amplitude-Limited Variational Bayesian Method for the Identification of Hammerstein Model
An Over-Sampling Amplitude-Limited Variational Bayesian Method for the Identification of Hammerstein Model Open
Chemical industrial processes involve numerous multivariable nonlinear systems. Nonlinear Muli-Input Muli-Output (MIMO) models seem more suitable to represent most systems and control problems in industrial processes. Furthermore, the outp…
View article: The Parameter Identification of Least Absolute Deviation Based on an Improved Gravitational Search Algorithm
The Parameter Identification of Least Absolute Deviation Based on an Improved Gravitational Search Algorithm Open
The least squares (LS) identification algorithm is vulnerable to outliers and has large residual square when the measured data is mixed with impulse noise which obeys symmetrical alpha stable (SaS) distribution, so the least absolute devia…