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Method of Fusion Diagnosis for Dam Service Status Based on Joint Distribution Function of Multiple Points
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The traditional methods of diagnosing dam service status are always suitable for single measuring point.
These methods also reflect the local status of dams without merging multisource data effectively, which is not suitable for diagnosing overall service.
This study proposes a new method involving multiple points to diagnose dam service status based on joint distribution function.
The function, including monitoring data of multiple points, can be established with t-copula function.
Therefore, the possibility, which is an important fusing value in different measuring combinations, can be calculated, and the corresponding diagnosing criterion is established with typical small probability theory.
Engineering case study indicates that the fusion diagnosis method can be conducted in real time and the abnormal point can be detected, thereby providing a new early warning method for engineering safety.
American Psychological Association (APA)
Jiang, Zhenxiang& He, Jinping. 2016. Method of Fusion Diagnosis for Dam Service Status Based on Joint Distribution Function of Multiple Points. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112799
Modern Language Association (MLA)
Jiang, Zhenxiang& He, Jinping. Method of Fusion Diagnosis for Dam Service Status Based on Joint Distribution Function of Multiple Points. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1112799
American Medical Association (AMA)
Jiang, Zhenxiang& He, Jinping. Method of Fusion Diagnosis for Dam Service Status Based on Joint Distribution Function of Multiple Points. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112799
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112799