An Adaptive Error Correction Method Using Feature-Based Analysis Techniques for Machine Performance Improvement, Part 1: Theory Derivation

1995 ◽  
Vol 117 (4) ◽  
pp. 584-590 ◽  
Author(s):  
J. Mou ◽  
M. A. Donmez ◽  
S. Cetinkunt
Keyword(s):  
Error Correction ◽  
Correction Method ◽  
Fine Tuning ◽  
Analysis Techniques ◽  
Machine Performance ◽  
Post Process ◽  
Error Correction Method ◽  
Process Characterization ◽  
Analysis Technique ◽  
Feature Based

An adaptive error correction method using a feature-based analysis technique for improving the accuracy of CNC machine tools is presented. The method described in this paper emphasizes the integration of the process-intermittent gauging and analysis techniques with information from pre-process characterization and post-process inspection. The proposed method utilizes the information from pre-process characterization, process-intermittent gauging, and post-process inspection to improve machine performance automatically. Algorithms are derived for analyzing the post-process and process-intermittent inspection data to decouple process-related errors from machine errors and for identifying the residual systematic errors. A feature-based analysis technique is developed to relate the dimensional and form errors of manufactured features to the systematic machine tool errors. Inverse kinematics and statistical methods are used to identify and characterize the contribution of each residual error component on imperfect features. Also a recursive tuning algorithm is developed for fine tuning the geometric-thermal model.

An Adaptive Error Correction Method Using Feature-Based Analysis Techniques for Machine Performance Improvement, Part 2: Experimental Verification

1995 ◽  
Vol 117 (4) ◽  
pp. 591-600 ◽  
Author(s):  
J. Mou ◽  
M. A. Donmez ◽  
S. Cetinkunt
Keyword(s):  
Error Correction ◽  
Performance Improvement ◽  
Experimental Verification ◽  
Correction Method ◽  
Residual Error ◽  
Error Components ◽  
Machine Performance ◽  
Error Correction Method ◽  
Analysis Technique ◽  
Feature Based

The development and derivation of an adaptive error correction method using an interactive inspection system and feature-based analysis technique for machine performance improvement were presented in Part 1 of this paper. Here, in Part 2, the experimental verification of the derived feature-based residual error models and analysis technique is described in detail. The experimental procedure and results of both the process-intermittent and the post-process gauging are presented. A polynomial regression method is used to derive the parametric functions that represent the deviation of imperfect features from nominal. The output of these polynomial functions is compared with process-intermittent inspection data to determine the machine errors and then to identify the residual systematic errors. Feature-based residual error models are used to correlate the residual errors to the systematic residual error components. Inverse kinematics technique and multiple regression methods are used to identify and characterize the contribution of each error component as a function of the machine’s temperature profile and nominal position. The residual error components are then combined with the error components identified through the pre-process characterization process to refine the geometric-thermal error model. After the error model is adaptively fine tuned, it can be used more effectively to compensate the machine tool error for more precise manufacturing.

Design of a temperature error correction method used for meteorology and climate research

2021 ◽  
Vol 263 ◽  
pp. 105817
Author(s):  
Jie Yang ◽  
Qingquan Liu ◽  
Gaoying Chen ◽  
Xuan Deng ◽  
Li Zhang
Keyword(s):  
Error Correction ◽  
Correction Method ◽  
Temperature Error ◽  
Climate Research ◽  
Error Correction Method

scholarly journals Performance of the FMI cosine error correction method for the Brewer spectral UV measurements

2018 ◽  
Vol 11 (9) ◽  
pp. 5167-5180 ◽  
Author(s):  
Kaisa Lakkala ◽  
Antti Arola ◽  
Julian Gröbner ◽  
Sergio Fabian León-Luis ◽  
Alberto Redondas ◽  
...  
Keyword(s):  
Error Correction ◽  
Correction Method ◽  
Uv Spectra ◽  
Correction Coefficient ◽  
Finnish Meteorological Institute ◽  
Angular Response ◽  
Error Correction Method ◽  
Radiation Distribution ◽  
Rapid Changes ◽  
Relative Differences

Abstract. Non-ideal angular response of a spectroradiometer is a well-known error source of spectral UV measurements and for that reason instrument specific cosine error correction is applied. In this paper, the performance of the cosine error correction method of Brewer spectral UV measurements in use at the Finnish Meteorological Institute (FMI) is studied. Ideally, the correction depends on the actual sky radiation distribution, which can change even during one spectral scan due to rapid changes in cloudiness. The FMI method has been developed to take into account the changes in the ratio of direct to diffuse sky radiation and it derives a correction coefficient for each measured wavelength. Measurements of five Brewers were corrected for the cosine error and the results were compared to the reference travelling spectroradiometer (QASUME). Measurements were performed during the RBCC-E (Regional Brewer Calibration Center – Europe) X Campaign held at El Arenosillo, Huelva (37∘ N, 7∘ W), Spain, in 2015. In addition, results of site audits of FMI's Brewers in Sodankylä (67∘ N, 27∘ E) and Jokioinen (61∘ N, 24∘ E) during 2002–2014 were studied. The results show that the spectral cosine error correction varied between 4 and 14 %. After that the correction was applied to Brewer UV spectra the relative differences between the QASUME and the Brewer diminished even by 10 %. The study confirms that the method, originally developed for measurements at high latitudes, can be used at mid-latitudes as well. The method is applicable to other Brewers as far as the required input parameters, i.e. total ozone, aerosol information, albedo, instrument specific angular response and slit function are available.

scholarly journals Burst Error Correction Method Based on Arithmetic Weighted Checksums

Engineering ◽  
2012 ◽  
Vol 04 (11) ◽  
pp. 768-773 ◽  
Author(s):  
Saleh Al-Omar ◽  
Atef Obeidat
Keyword(s):  
Error Correction ◽  
Correction Method ◽  
Burst Error ◽  
Error Correction Method

A joint encryption and error correction method used in satellite communications

2014 ◽  
Vol 11 (3) ◽  
pp. 70-79 ◽  
Author(s):  
Li Ning ◽  
Lin Kanfeng ◽  
Lin Wenliang ◽  
Deng Zhongliang
Keyword(s):  
Error Correction ◽  
Satellite Communications ◽  
Correction Method ◽  
Error Correction Method
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