Multi-objective acoustic sensor placement optimization for crack detection of compressor blade based on reinforcement learning

Use of digital image correlation and machine learning for the optimal strain placement in a full-scale composite tidal turbine blade

“…A wide range of studies regarding optimal sensor placement (OSP) have been concerned with damage detection and health monitoring within structures. In this regard, many of these pieces of literature investigate the optimal placement of strain sensors, with one case looking at the placement of acoustic sensors for crack detection (1) . There are applications to structures akin to the tidal turbine blade in terms of material as well as geometry, such as compressor blades (1) , composite wind turbine blades (2) , cylindrical composite shells (3) , and composite plates (4) .…”

“…In this regard, many of these pieces of literature investigate the optimal placement of strain sensors, with one case looking at the placement of acoustic sensors for crack detection (1) . There are applications to structures akin to the tidal turbine blade in terms of material as well as geometry, such as compressor blades (1) , composite wind turbine blades (2) , cylindrical composite shells (3) , and composite plates (4) . Whilst these applications are similar to OSP for tidal turbine blades, none of the mentioned studies utilise DIC for reconstruction or have experimental validation from a full-scale model.…”

Multi-objective optimization of tribological properties of camshaft bearing pairs using DNN coupled with NSGA-II algorithm and TOPSIS

“…According to this relationship, the optimized structural parameters of the camshaft bearing pairs can be obtained through appropriate genetic algorithms, such as multi-objective genetic algorithm (MOGA). Recently, in some pioneering studies, DNN and MOGA have been successfully applied in performance prediction (Tian et al, 2023;Zhang et al, 2016), fault detection and status monitoring (Li et al, 2023;Song et al, 2023), structural and machining process parameters optimization in mechanical manufacturing systems (Guo et al, 2023;Canbulut et al, 2009;Wu et al, 2022). To the authors' knowledge, there are no research studies studying the relationship between structural lubrication performance parameters and optimization design of the camshaft bearing pairs.…”

“…, 2016), fault detection and status monitoring (Li et al. , 2023; Song et al. , 2023), structural and machining process parameters optimization in mechanical manufacturing systems (Guo et al.…”