Ling Wan

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

A review of recent strategies for acid mine drainage prevention and mine tailings recycling

A One-Versus-All Class Binarization Strategy for Bearing Diagnostics of Concurrent Defects

A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

Effect of particle gradation on properties of fresh and hardened cemented paste backfill

Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines

Cemented paste backfill for mineral tailings management: Review and future perspectives

Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis

A review on in situ phytoremediation of mine tailings

Deep learning and its applications to machine health monitoring

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

Spectral Regression Based Fault Feature Extraction for Bearing Accelerometer Sensor Signals

Reinforced terraced fields method for fine tailings disposal

Stability analysis of a copper tailings dam via laboratory model tests: A Chinese case study