This study focuses on developing and examining the effectiveness of Transfer Learning (TL) for structural health monitoring (SHM) systems that transfer knowledge about damage states from one structure (i.e., source domain) to another target domain). is an efficient method mapping domains. In addition, Proper Orthogonal Modes (POMs), which help classify behavior health, provide a promising tool ...

In a recent work (Koc et al., SIAM J. Numer. Anal. 59(4), 2163–2196, 2021), the authors showed that including difference quotients (DQs) is necessary in order to prove optimal pointwise time error bounds for proper orthogonal decomposition (POD) reduced models of heat equation. this work, we introduce new approach DQs POD procedure. Instead computing modes using all snapshot data and DQs, only ...

Abstract The proper orthogonal decomposition (POD) is a powerful classical tool in fluid mechanics used, for instance, model reduction and extraction of coherent flow features. However, its applicability to high-resolution data, as produced by three-dimensional direct numerical simulations, limited owing computational complexity. Here, we propose wavelet-based adaptive version the POD (the wPOD...