Threshold Regression Forecast Model for Dam Safety Monitoring and its Application

Affected by both of the internal and external factors during work process, the dam monitoring effect variable often generates complex cycles such as jumps, compendium, and re-jumps, which shows a high degree of non-linearity that brings a lot of trouble in the establishment of regular dam safety mon...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 36; pp. 182 - 186
Main Authors Leng, Yuan Bao, Zhao, Shou Gang, He, Xian Feng
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.10.2010
Subjects
Model
Dam Safety
Threshold Regression
Forecast
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Summary:Affected by both of the internal and external factors during work process, the dam monitoring effect variable often generates complex cycles such as jumps, compendium, and re-jumps, which shows a high degree of non-linearity that brings a lot of trouble in the establishment of regular dam safety monitoring forecast model. Drawing on the threshold thought of the threshold autoregressive model, the threshold factor and the threshold value are introduced in the conventional regression model. By making use of the suggested best fitting correlation analysis method to determine the threshold factor and the threshold value, the threshold regression model is established. Application example shows that the method for dam safety monitoring forecast can obtain satisfactory results.
Bibliography:Selected, peer reviewed papers from the International Conference on Precision Instrumentation and Measurement 2010 (CPIM 2010) and its satellite event, the International Symposium on Mass Measurement Device (MMD2010), held in our beautiful and historical city of Kiryu, March 17-20
ISBN:9780878492299
0878492291
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.36.182