Significance evaluation for basic-error components for individually calibrated sensors

1987 ◽  
Vol 30 (9) ◽  
pp. 855-857
Author(s):  
V. P. Karshakov
Keyword(s):  
Basic Error ◽  
Error Components

A multi-centre analysis of treatment procedures and error components in dynamic tumour tracking radiotherapy

2015 ◽  
Vol 115 (3) ◽  
pp. 412-418 ◽  
Author(s):  
Yukinori Matsuo ◽  
Dirk Verellen ◽  
Kenneth Poels ◽  
Nobutaka Mukumoto ◽  
Tom Depuydt ◽  
...  
Keyword(s):  
Error Components ◽  
Treatment Procedures

A New Kinematic Error Modelling and Identification Method of the Parallel Manipulator

2020 ◽  
Author(s):  
Weitao Li ◽  
Liping Wang
Keyword(s):  
Parallel Manipulators ◽  
Kinematic Error ◽  
Basic Error ◽  
Error Identification ◽  
Partial Differentiation ◽  
Differentiation Method ◽  
Modelling Method ◽  
Error Terms ◽  
Kinematic Error Model ◽  
Identification Model

Abstract Parallel manipulators have broad application prospects on hybrid machine tools. Kinematic error modelling and identification are two key processes to improve the accuracy of parallel manipulators. The traditional kinematic error modelling method adopts the partial differentiation of the ideal kinematic model. However, the partial differentiation method is pure mathematical calculation, which ignores physical meaning of error terms corresponding to each link. In the process of error identification, the Jacobian matrix obtained from the partial differentiation method is usually ill-conditioned, which leads to non-convergence of the identification process. In order to solve the above problems, this paper proposes a new kinematic error modelling method and an error identification model. Firstly, the basic error terms for single link are analyzed. Based on basic error terms, the kinematic error model is established by using the practical connection point of two adjacent links. Then, a new error identification model is derived from the kinematic error model. Finally, as a study case, a 3-DOF parallel tool head is used to verify the correctness of the proposed method. The numerical results show that the proposed method is effective and the accuracy of the 3-DOF parallel tool head improves significantly after compensation of error terms.

A note on autoregressive error components models

1985 ◽  
Vol 28 (2) ◽  
pp. 231-245 ◽  
Author(s):  
P. Sevestre ◽  
A. Trognon
Keyword(s):  
Error Components ◽  
Error Components Models

A Three-way Error Components Analysis of Educational Productivity

1999 ◽  
Vol 7 (3) ◽  
pp. 199-208 ◽  
Author(s):  
Dan D. Goldhader ◽  
Dominic J. Brewer ◽  
Deborah J. Anderson
Keyword(s):  
Educational Productivity ◽  
Error Components ◽  
Components Analysis

scholarly journals Mapping Relation between Contour Error Components of Crankshaft Pin Journal and Axis Position Control Error of Oscillating Grinding Machine

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6497
Author(s):  
Xiaoyan Fang ◽  
Xiaowei Sheng ◽  
Yize Sun ◽  
Yang Xu
Keyword(s):  
Position Control ◽  
High Reliability ◽  
Decomposition Methods ◽  
Ensemble Empirical Mode Decomposition ◽  
Contour Error ◽  
Control Error ◽  
Error Components ◽  
Mode Decomposition ◽  
Axis Position ◽  
Grinding Machine

Automatic crankshaft production lines require high reliability and accuracy stability for the oscillating grinding machine. Crankshaft contour error represent the most intuitive data in production field selective inspection. If the mapping relation between the contour error components of the crankshaft pin journal and the axis position control error of the oscillating grinding machine can be found, it would be great significance for the reliability maintenance of the oscillating grinding machine. Firstly, a contour error decomposition method based on ensemble empirical mode decomposition (EEMD) is proposed. Secondly, according to the contour generating principle of the pin journal by oscillating grinding, a calculation method to obtain the effect of the axis position control error of the oscillating grinder on the contour error of the pin journal is proposed. Finally, through the grinding experiments, the error data are acquired and measured to calculate and decompose the contour error by using the proposed methods for obtaining the mapping relation between the crankshaft pin journal contour error and the axis position control error. The conclusions show that the proposed calculation and decomposition methods can obtain the mapping relation between the contour error components of the crankshaft pin journal and the axis position control error of the oscillating grinding machine, which can be used to predict the key functional component performance of the machine tool from the oscillating grinding workpiece contour error.

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