Robust deep learning-based fault detection of planetary gearbox using enhanced health data map under domain shift problem

Multi-head de-noising autoencoder-based multi-task model for fault diagnosis of rolling element bearings under various speed conditions

Probabilistic framework for reliable optimal design of gearboxes in general-purpose industrial robots considering random use conditions

Deep-learning-based fault detection and recipe optimization for a plastic injection molding process under the class-imbalance problem

MPARN: multi-scale path attention residual network for fault diagnosis of rotating machines

Prognostic health management of the robotic strain wave gear reducer based on variable speed of operation: a data-driven via deep learning approach

L-shape triple defects in a phononic crystal for broadband piezoelectric energy harvesting

Design principle for effective mechanical boundary using a resonance band gap under elastic waves

Double defects-induced elastic wave coupling and energy localization in a phononic crystal

Appropriate Smart Factory for SMEs: Concept, Application and Perspective