Aijun Hu

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

A weighted multi-scale morphological gradient filter for rolling element bearing fault detection

Rotor Fault Diagnosis Based on Characteristic Frequency Band Energy Entropy and Support Vector Machine

Sound-aided vibration weak signal enhancement for bearing fault detection by using adaptive stochastic resonance

A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery

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

Fault diagnosis of single-phase induction motor based on acoustic signals

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

Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals

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

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings

A self-adaptive time-frequency analysis method based on local mean decomposition and its application in defect diagnosis

A fault diagnosis scheme for planetary gearboxes using adaptive multi-scale morphology filter and modified hierarchical permutation entropy

Multi-scale morphology analysis of acoustic emission signal and quantitative diagnosis for bearing fault

New Feature Extraction Method for the Detection of Defects in Rolling Element Bearings

DE-NOISING TECHNIQUE FOR VIBRATION SIGNALS OF ROTATING MACHINERY BASED ON MATHEMATICAL MORPHOLOGY FILTER

A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing

Experimental study on the intrawave frequency modulation characteristic of rotor rub and crack fault

Selection principle of mathematical morphological operators in vibration signal processing