A new five-axis coordinate measuring machine virtual model is developed, but yet which adds more parameter errors due to the addition of more axis. Through the analysis of the axis errors configuration of five-axis coordinate measuring machine, homogeneous transformation matrix is used to established a structure model of five-axis coordinate measuring machine, and then, measuring software is combined with new utensils on the error multistage correction of the virtual model. Finally, with the help of a simulation example, demonstrating this virtual model of five-axis coordinate measuring machine effectively improved the convenience and accuracy of the measurement. The virtual machine is used to mimic real time measurements in order to come up with estimates for the task specific measurement uncertainty.
Proc. SPIE. 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation
KEYWORDS: Digital signal processing, Data acquisition, Data storage, Computing systems, Data transmission, Analytical research, Data communications, Transformers, Data processing, Human-machine interfaces
This paper presents a novel intelligent power quality analyzer, which can be used to analyze the collected dynamic data
using the modern uncertainty principle. The analyzer consists of components used for data acquisition, communication,
display, storage and so on, and has some advantages including strong computing ability, good on-line performance, large
storage capacity, high precision, and user friendly interface, etc. In addition, the reliability of measurement results is
evaluated according to the international standards; while the uncertainty principle of the international survey is adopted
for the evaluation of an electrical energy quality analyzer for the first time, it offer a perfect GB code in addition to the
evidence to a perfect GB code.