• Smart Structures and Systems
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• v.29 no.1
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• pp.251-266
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• 2022

Structural Health Monitoring (SHM) of critical infrastructure comprises a major pillar of maintenance management, shielding public safety and economic sustainability. Although SHM is usually associated with data-driven metrics and thresholds, expert judgement is essential, especially in cases where erroneous predictions can bear casualties or substantial economic loss. Considering that visual inspections are time consuming and potentially subjective, artificial-intelligence tools may be leveraged in order to minimize the inspection effort and provide objective outcomes. In this context, timely detection of sensor malfunctioning is crucial in preventing inaccurate assessment and false alarms. The present work introduces a sensor-fault detection and interpretation framework, based on the well-established support-vector machine scheme for anomaly detection, combined with a coalitional game-theory approach. The proposed framework is implemented in two datasets, provided along the 1st International Project Competition for Structural Health Monitoring (IPC-SHM 2020), comprising acceleration and cable-load measurements from two real cable-stayed bridges. The results demonstrate good predictive performance and highlight the potential for seamless adaption of the algorithm to intrinsically different data domains. For the first time, the term "decision trajectories", originating from the field of cognitive sciences, is introduced and applied in the context of SHM. This provides an intuitive and comprehensive illustration of the impact of individual features, along with an elaboration on feature dependencies that drive individual model predictions. Overall, the proposed framework provides an easy-to-train, application-agnostic and interpretable anomaly detector, which can be integrated into the preprocessing part of various SHM and condition-monitoring applications, offering a first screening of the sensor health prior to further analysis.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2003.11a
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• pp.87-92
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• 2003

According to the realization of highly information dependent society, the recent building system is developed into the concept of suitable for management of intellegent work, which is demanded to unify of IBS(Intelligent Building System), IC(information communication), OA(office automation), BA(building automation) system and computer technology. However inspite of the presence arrester, cable shielding, insulated TR, filter, earth etc., in the IBS building for the cope with several surge and noise has several problems from the wrong operation of the equipment which caused from several surge, damage of equipment, and noise etc. And the miss operation caused by wrong earth works, which must be considered at first during the building construction. In order to minimize these problems, it's necessary that various earth project are performed effectively, and bonding methods between the mutual wiring of earth system and the equipments in the building should be improved sucessively. So in this paper, we analyze present domestic conditions of the earth technology in IBS building, and propose minimization method for the various surge and noise problem, and examine and analyze through the applied works.