Hugo André

Rolling element bearing fault diagnosis under slow speed operation using wavelet de-noising

Vibration-based bearing fault detection for operations and maintenance cost reduction in wind energy

Deep Residual Shrinkage Networks for Fault Diagnosis

A novel hybrid decision making approach for the strategic selection of wind energy projects

Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions

Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System

Vibration-Based Intelligent Fault Diagnosis for Roller Bearings in Low-Speed Rotating Machinery

Tacholess Speed Estimation in Order Tracking: A Review With Application to Rotating Machine Fault Diagnosis

Applications of machine learning to machine fault diagnosis: A review and roadmap

An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network

Precision of the IAS monitoring system based on the elapsed time method in the spectral domain

A multi-order probabilistic approach for Instantaneous Angular Speed tracking debriefing of the CMMNO׳14 diagnosis contest