Method of Fusion Diagnosis for Dam Service Status Based on Joint Distribution Function of Multiple Points

• Published in: Mathematical problems in engineering Vol. 2016; no. 2016; pp. 1 - 10
• Main Authors: Jiang, Zhenxiang, He, Jinping
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2016; Hindawi Limited
• Subjects: Criteria; Dams; Diagnosis; Distribution functions; Engineering; Functions (mathematics); Mathematical analysis; Merging; Methods; Monitoring; Neural networks; Normal distribution; Optimization algorithms; Parameter estimation; Probability theory; Real time; Studies
• ISSN: 1024-123X; 1563-5147
• DOI: 10.1155/2016/9049260

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.