Large-range piston error detection technology based on dispersed fringe sensor

2021 ◽  
Author(s):  
Pengfei Wang ◽  
Hui Zhao ◽  
Xiaopeng Xie ◽  
Yating Zhang ◽  
Chuang Li ◽  
...  
Keyword(s):  
Error Detection ◽  
Large Range ◽  
Detection Technology

scholarly journals Overview of Machine Tool Error Detection Technology

2020 ◽  
Vol 1550 ◽  
pp. 032152
Author(s):  
Xinkai Li ◽  
Dehua Li ◽  
Yingying Lao ◽  
Ruijie Zhang ◽  
Yi Han ◽  
...  
Keyword(s):  
Machine Tool ◽  
Error Detection ◽  
Detection Technology

Study on the Method of Error Identification and Compensation for Gear Measuring Center

2012 ◽  
Vol 482-484 ◽  
pp. 1821-1828
Author(s):  
Peng Wan ◽  
Jun Jie Guo ◽  
Hai Tao Li
Keyword(s):  
High Precision ◽  
Error Detection ◽  
Geometric Error ◽  
Precision Measurements ◽  
Tooth Surface ◽  
Geometric Errors ◽  
Detection Technology ◽  
Accuracy Of Measurement ◽  
Measuring Machine ◽  
Multi Body

Gear Measuring Center(GMC) is commonly used to test error of the tooth surface of the gear, whose geometric accuracy directly impacts on the accuracy of measurement. How to quickly and accurately detect space geometric error of the measuring machine and compensate becomes the essential means of high-precision measurements. According to the problem above, in the paper, three-beams laser detection technology is proposed. The detection of the geometric errors of the linear axis was achieved. The accurate measurement for the position and attitude of the plane mirror on measurement seat was achieved based on laser telemetry principle. The positioning error, the pitching angle errors, the deflection angle errors and the straightness errors were separated. And then based on multi-body system theory, by using of homogeneous coordinate transformation, the error compensation model of 4-axis measuring machine which includes three shifting pairs and one revolute pair was established, and the algorithm was given in the paper. The theoretical foundation for real-time compensation of 4-axis GMC was established. The geometric errors of GMC can be improved by the method of the error detection and compensation. The method plays a very important role in high-precision measurements.

scholarly journals Large-Aperture Real-Time Compensated Collimating Wavefront Error Detection Method

2019 ◽  
Vol 9 (11) ◽  
pp. 2370
Author(s):  
Xueliang Zhu ◽  
Dasen Wang ◽  
Fengming Nie ◽  
Bingcai Liu ◽  
Hongjun Wang ◽  
...  
Keyword(s):  
Real Time ◽  
Error Detection ◽  
Detection Method ◽  
Three Dimensional ◽  
Surface Measurement ◽  
Dimensional Error ◽  
Detection Technology ◽  
Wavefront Error ◽  
Scanning Detection ◽  
Wavefront Detection

This paper proposes a real-time compensated pentaprism scanning wavefront detection method to achieve real-time compensation for scanning errors occurring during prism movement along a guide rail. The method is based on existing pentaprism scanning wavefront detection technology and it is realized by applying self-collimation-based three-dimensional error compensation. Using theoretical and data analyses of a detection experiment, the reliability of the optimized pentaprism scanning detection method is verified, thus effectively ensuring the reasonable estimation of the interferometry surface measurement uncertainty.

scholarly journals Automatic Detection of Grammatical Errors in English Verbs Based on RNN Algorithm: Auxiliary Objectives for Neural Error Detection Models

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yizhou He
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Error Detection ◽  
Rapid Development ◽  
Automatic Detection ◽  
Detection Accuracy ◽  
Original Text ◽  
Detection Technology ◽  
Grammatical Errors ◽  
English Verb

With the rapid development of neural network technology, we have widely used this technology in various fields. In the field of language translation, the research on automatic detection technology of English verb grammatical errors is in a hot stage. The traditional manual detection cannot be applied to the current environment. Therefore, this paper proposes an automatic detection technology of English verb grammatical errors based on recurrent neural network (RNN) algorithm to solve this problem. Firstly, the accuracy and feedback speed of traditional manual detection and recurrent neural network RNN algorithm are compared. Secondly, a detection model which can be calculated according to grammatical order combined with context is designed. Finally, when the output verb result is inconsistent with the original text, it can automatically mark the error detection effect. The experimental results show that the algorithm model studied in this paper can effectively improve the detection accuracy and feedback efficiency and is more applicable and effective than the traditional manual detection method.

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