A Loewner-Based System Identification and Structural Health Monitoring Approach for Mechanical Systems. (18th April 2023)

• Record Type: Journal Article
• Authors: Dessena, Gabriele; Civera, Marco; Zanotti Fragonara, Luca; Ignatyev, Dmitry I.; Whidborne, James F.
• Other Names: Chen Lin Academic Editor.
• Is Part Of: Structural control and health monitoring. Volume 2023(2023)
• Publication Date: 2023-04-18
• Subjects: Structural engineering -- Periodicals; Structural control (Engineering) -- Periodicals; Automatic data collection systems -- Periodicals; Detectors -- Periodicals; 624.17
• DOI: 10.1155/2023/1891062
• Languages: English
• ISSNs: 1545-2255

Abstract

Abstract : Data-driven structural health monitoring (SHM) requires precise estimates of the target system behaviour. In this sense, SHM by means of modal parameters is strictly linked to system identification (SI). However, existing frequency-domain SI techniques have several theoretical and practical drawbacks. This paper proposes using an input-output system identification technique based on rational interpolation, known as the Loewner framework (LF), to estimate the modal properties of mechanical systems. Pioneeringly, the Loewner framework mode shapes and natural frequencies estimated by LF are then applied as damage-sensitive features for damage detection. To assess its capability, the Loewner framework is validated on both numerical and experimental datasets and compared to established system identification techniques. Promising results are achieved in terms of accuracy and reliability.