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The main concern of Dr Manson´s research has been, throughout, the development of robust structural health monitoring strategies for the purposes of damage identification. Over the years, this has taken on various approaches beginning with the examination of the response of nonlinear mechanical systems before moving into the fields of signal processing, pattern recognition, machine learning and multivariate statistics for damage identification.
More recently, with the questions of damage prognosis and robustness of structural health monitoring systems, the research has led toward the investigation of the propagation of uncertainty through systems and structures.
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STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2023)
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European Workshop on Structural Health Monitoring (2022): 533-542
International Journal of Integrated Engineeringno. 7 (2021): 167-175
Conference Proceedings of the Society for Experimental Mechanics Seriespp.157-159, (2019)
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