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Aiming at the issue of extracting the incipient multi-fault of rolling bearing from the nonlinear and non-stationary vibration signals with a strong background noise, a novel fault diagnosis method based on improved tunable Q-factor wavelet transform (TQWT) combined with sparse representation is proposed. Firstly, the optimal Q-factor and decomposition scale can be determined by the improved TQWT...
Tool wear may result in negative consequences on the quality of machined surface, machine life and manufacturing productivity. To address this problem, an online tool condition monitoring (TCM) system plays a significant role in metal cutting field. To reveal the relationship between the mill signal features and the wear degradation behavior of milling tool and improve the accuracy of tool wear recognition,...
Titanium (Ti) and its alloys are currently used extensively in medical and dental applications due to their superior mechanical and physical properties compared to coarse-grained (CG) Ti. However, the presence of alloying elements such as aluminum and vanadium has raised concerns about Ti alloy biocompatibility. Fortunately, equal channel angular extrusion (ECAE)-processed ultrafine-grained (UFG)...
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