Seamless measurement technology of transient signals based on approximate entropy.
The acquisition of waveforms and the analysis of transient characteristics of signals are the fundamental tasks for time-domain measurement, while the reduction of the measuring gap till seamless measurement is extremely important to the acquisition, measurement, and analysis of transient signals. This paper, aimed at the seamless time-domain measurement of non-stationary transient signals, proposes an approximate entropy-based characteristic signal extraction algorithm on the basis of information entropy theories. The algorithm quantitatively describes the complexity (amount of information) of sampled signals using the approximate entropy value, self-adaptively captures characteristic signals under the control of the approximate entropy in real time, extracts the critical or useful information, and removes redundant or useless information so as to reduce the time consumption of processing data and displaying waveforms and realize the seamless time-domain measurement of transient signals finally. Experimental results show that the study could provide a new method for the design of electronic measuring instrument with seamless measurement capability.
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Jun
J
Jiang
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Shulin
S
Tian
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Lianping
L
Guo
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Wuhuang
W
Huang