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

Probabilistic Framework for Reliable Optimal Design of Gearboxes in General-Purpose Industrial Robots Considering Random Use Conditions

A vertically articulated robot with 6-degrees of freedom (DoF), called a general-purpose robot, can perform a myriad of different tasks within a workspace. This paper newly presents a probabilistic framework for the reliable optimal design of gearboxes used in general-purpose industrial robots, which considers random use conditions. To account for...

Double piezoelectric defects in phononic crystals for ultrasonic transducers

Opt-TCAE: Optimal Temporal Convolutional Auto-encoder for Boiler Tuber Leakage Detection in a Thermal Power Plant Using Multi-sensor Data

A Health Image for Deep Learning-based Fault Diagnosis of a Permanent Magnet Synchronous Motor Under Variable Operating Conditions: Instantaneous Current Residual Map

PERL: Probabilistic energy-ratio-based localization for boiler tube leaks using descriptors of acoustic emission signals

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

A Noise-Robust Feature Extraction Method for Rolling Element Bearing Diagnosis: Linear Power-Normalized Cepstral Coefficients (LPNCC)

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