Understanding the Role of Sensor Optimisation in Complex Systems

Complex systems involve monitoring, assessing, and predicting the health of various systems within an integrated vehicle health management (IVHM) system or a larger system. Health management applications rely on sensors that generate useful information about the health condition of the assets; thus,...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2023-09, Vol.23 (18), p.7819
Main Authors: Suslu, Burak, Ali, Fakhre, Jennions, Ian K.
Format: Article
Language:English
Subjects:
Accident investigations
Accuracy
Aircraft
aircraft health management
Business performance management
complex systems
cost function
Data processing
IVHM
Mathematical optimization
Monitoring systems
Review
sensor optimisation
Sensors
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Summary:Complex systems involve monitoring, assessing, and predicting the health of various systems within an integrated vehicle health management (IVHM) system or a larger system. Health management applications rely on sensors that generate useful information about the health condition of the assets; thus, optimising the sensor network quality while considering specific constraints is the first step in assessing the condition of assets. The optimisation problem in sensor networks involves considering trade-offs between different performance metrics. This review paper provides a comprehensive guideline for practitioners in the field of sensor optimisation for complex systems. It introduces versatile multi-perspective cost functions for different aspects of sensor optimisation, including selection, placement, data processing and operation. A taxonomy and concept map of the field are defined as valuable navigation tools in this vast field. Optimisation techniques and quantification approaches of the cost functions are discussed, emphasising their adaptability to tailor to specific application requirements. As a pioneering contribution, all the relevant literature is gathered and classified here to further improve the understanding of optimal sensor networks from an information-gain perspective.
ISSN:1424-8220
1424-8220
DOI:10.3390/s23187819