Automatic Separation of Temperature Effects From Bridge Cable Force Data Based on the VMD-Pe-KLD Algorithm, 247-258.

Xin, Jingzhou; Tang, Haojie; Wang, Jieyun; Tang, Qizhi; Xin, Dewu; Qu, Jian‐Ping

doi:10.2316/j.2023.206-0910

Cited by 1 publication

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“…To ensure the safe operation of bridges, bridge monitoring systems have been widely established. At present, the goals of real-time monitoring, synchronous analysis, and data network sharing of monitoring systems have been gradually achieved [ 1 , 2 , 3 , 4 , 5 ]; however, the accurate diagnosis of bridge status, as the main functional goal of health-monitoring systems [ 6 ], is still difficult due to the complexity of the bridges, the randomness of external loads, and the uncertainty of the service environment. Therefore, most of the existing studies focus on the accumulation of historical data [ 7 , 8 , 9 , 10 , 11 , 12 , 13 ], the identification of external load and internal damage [ 14 , 15 , 16 ], and the assessment of overall safety [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

An Evaluation Framework for Construction Quality of Bridge Monitoring System Using the DHGF Method

Xin

Wang

Tang

et al. 2023

Sensors

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Aiming at comprehensively evaluating the status of a bridge monitoring system, an evaluation framework based on the improved Delphi, analytic Hierarchy process, Grey relations analysis and Fuzzy integrated evaluation (DHGF) is selected. Firstly, the evaluation indexes for the bridge monitoring system are determined by an anonymous group discussion and expert questionnaire using the improved Delphi method. Secondly, a comparison matrix of the evaluation indexes is constructed to determine the comprehensive weight via the analytic hierarchy process. Then, based on the gray relations analysis, the albino weight function is constructed, the evaluation gray class is determined, and the single-factor fuzzy evaluation matrix is obtained. Finally, the final evaluation result was obtained by the fuzzy comprehensive evaluation. The evaluation results of a real bridge monitoring system show that the evaluation level of the monitoring system was level II, and the proposed framework could better reflect the construction and operation status of the monitoring system.

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