A sensor placement approach using multi-objective hypergraph particle swarm optimization to improve effectiveness of structural health monitoring systems

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Waqas, Muhammad, Jan, Latif, Zafar, Mohammad Haseeb, Hassan, Raheel and Asif, Rameez (2024) A sensor placement approach using multi-objective hypergraph particle swarm optimization to improve effectiveness of structural health monitoring systems. Sensors, 24 (5). ISSN 1424-8220

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Abstract

In this paper, a novel Multi-Objective Hypergraph Particle Swarm Optimization (MOHGPSO) algorithm for structural health monitoring (SHM) systems is considered. This algorithm autonomously identifies the most relevant sensor placements in a combined fitness function without artificial intervention. The approach utilizes six established Optimal Sensor Placement (OSP) methods to generate a Pareto front, which is systematically analyzed and archived through Grey Relational Analysis (GRA) and Fuzzy Decision Making (FDM). This comprehensive analysis demonstrates the proposed approach’s superior performance in determining sensor placements, showcasing its adaptability to structural changes, enhancement of durability, and effective management of the life cycle of structures. Overall, this paper makes a significant contribution to engineering by leveraging advancements in sensor and information technologies to ensure essential infrastructure safety through SHM systems.

Item Type:	Article
Uncontrolled Keywords:	fuzzy decision making,grey relational analysis,multi-objective hypergraph particle swarm optimization,optimal sensor placement,structural health monitoring,analytical chemistry,information systems,atomic and molecular physics, and optics,biochemistry,instrumentation,electrical and electronic engineering ,/dk/atira/pure/subjectarea/asjc/1600/1602
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory Faculty of Science > Research Groups > Centre for Photonics and Quantum Science Faculty of Science > Research Groups > Smart Emerging Technologies
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	05 Mar 2024 01:12
Last Modified:	26 Mar 2024 09:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/94569
DOI:	10.3390/s24051423

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