A Geometric Error Modeling Method and Trajectory Optimization Applied in Laser Welding System
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Precision Engineering and Manufacturing"
DOI: 10.1007/s12541-019-00151-8
Abstract: In this paper, a geometric error modeling method is carried out on six-axis motion platform (SMP) in laser welding system (LWS), and an optimized algorithm is proposed for the alignment in LWS based on the… read more here.
Keywords: system; geometric error; error model; error modeling ... See more keywords
Numerical modeling of steady state errors for shielded thermocouples based on conjugate heat transfer analysis
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Heat and Mass Transfer"
DOI: 10.1016/j.ijheatmasstransfer.2017.11.034
Abstract: Abstract In this paper, Conjugate Heat Transfer (CHT) numerical simulation method is implemented to estimate the different sources of steady state errors and their variation characteristics for a typical shielded thermocouple working at free-stream Mach… read more here.
Keywords: heat; heat transfer; error model; transfer ... See more keywords
Identifying elastoplastic parameters with Bayes’ theorem considering output error, input error and model uncertainty
Sign Up to like & getrecommendations! Published in 2019 at "Probabilistic Engineering Mechanics"
DOI: 10.1016/j.probengmech.2018.08.004
Abstract: Abstract We discuss Bayesian inference for the identification of elastoplastic material parameters. In addition to errors in the stress measurements, which are commonly considered, we furthermore consider errors in the strain measurements. Since a difference… read more here.
Keywords: input; model; model uncertainty; error model ... See more keywords
Non-kinematic calibration of industrial robots using a rigid–flexible coupling error model and a full pose measurement method
Sign Up to like & getrecommendations! Published in 2019 at "Robotics and Computer-Integrated Manufacturing"
DOI: 10.1016/j.rcim.2018.07.002
Abstract: Abstract This study addresses the non-negligible flexibility problem of industrial robots and describes a rigid–flexible coupling error model for robot non-kinematic calibration. Simulation confirms that compliance errors are major sources of inaccuracies and affect robot… read more here.
Keywords: calibration; industrial robots; error model; error ... See more keywords
Bayesian Lassos for spatial durbin error model with smoothness prior: Application to detect spillovers of China's treaty ports
Sign Up to like & getrecommendations! Published in 2019 at "Regional Science and Urban Economics"
DOI: 10.1016/j.regsciurbeco.2019.01.009
Abstract: Abstract In this paper we consider a generalized spatial durbin error model with spatial spillovers that are flexible and subject to abrupt change arising from zero spillover effects. We propose a new class of Bayesian… read more here.
Keywords: error model; spatial durbin; model; durbin error ... See more keywords
Interval estimation procedures for true scores of a test composed of polytomous items: An application of the multinomial error model.
Sign Up to like & getrecommendations! Published in 2020 at "Psychological methods"
DOI: 10.1037/met0000338
Abstract: When a person takes alternative forms of the same test across replications of the testing procedure, the test taker's observed scores on the alternative forms are rarely identical. In educational and psychological measurement, inconsistencies in… read more here.
Keywords: estimation procedures; interval estimation; error; error model ... See more keywords
A high-precision and high-order error model for airborne distributed POS transfer alignment
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DOI: 10.1038/s41598-020-77595-w
Abstract: Distributed position and orientation systems (DPOSs) can provide abundant time-spatial information for interferometric synthetic aperture radar (InSAR) in airborne earth observation systems. However, some key error terms have not been taken into consideration in the… read more here.
Keywords: error; error model; model; transfer alignment ... See more keywords
Bayesian inference in a heteroscedastic replicated measurement error model using heavy-tailed distributions
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2017.1349131
Abstract: ABSTRACT We introduce a multivariate heteroscedastic measurement error model for replications under scale mixtures of normal distribution. The model can provide a robust analysis and can be viewed as a generalization of multiple linear regression… read more here.
Keywords: error model; measurement error; model; bayesian inference ... See more keywords
M-estimates for the multiplicative error model
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2019.1671387
Abstract: ABSTRACT In this paper, we propose two types of robust estimates for the multiplicative error model, M-estimates and BM-estimates, and analyse their estimation effects for different loss functions. According to the Monte Carlo simulation, we… read more here.
Keywords: multiplicative error; estimates multiplicative; error model; loss ... See more keywords
A new confidence interval in measurement error model with the reliability ratio known
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1217018
Abstract: ABSTRACT For the slope parameter of the measurement error model with the reliability ratio known, this article constructs a fiducial generalized confidence interval (FGCI) which is proved to have correct asymptotic coverage. Simulation results demonstrate… read more here.
Keywords: confidence interval; error model; reliability ratio; model reliability ... See more keywords
The logarithmic vector multiplicative error model: an application to high frequency NYSE stock data
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DOI: 10.1080/14697688.2016.1260756
Abstract: Abstract We develop a general form logarithmic vector multiplicative error model (log-vMEM). The log-vMEM improves on existing models in two ways. First, it is a more general form model as it allows the error terms… read more here.
Keywords: error; error model; model; logarithmic vector ... See more keywords