Establishing of Security Index for Dam Monitoring Based on Cloud Model and EMD Filtering
Zhao Kunpen · Yellow River · 2015
A cloud model was proposed in order to overcome the limitations of the existing method to establish the security index for the dam monitoring such as the typical probability method and the confidence interval method. The cloud model adopted numeral characteristics of entropy to reveal the randomness and fuzziness of outliers. Through a particular structural algorithm constitute of expected number,entropy and hyper entropy,the cloud model could translate the qualitative concept of dam safety to quantitative expression,which was used to establish the security index for the dam monitoring. The monitoring data often contains high frequency noise because of the complex influence factors,so it is necessary to de-noise the original data. The horizontal displacement of a dam in Fujian Province was taken as the example to testify the method based on empirical mode decomposition( EMD) filtering method and cloud model,and then it was compared with the traditional probability method. The result indicates that the method based on EMD filtering method and cloud model is accurate and reasonable.