Ling Xiang

Comprehensive Overview on Computational Intelligence Techniques for Machinery Condition Monitoring and Fault Diagnosis

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

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

A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives

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

Deep learning for smart manufacturing: Methods and applications

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

A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends

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

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

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method

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

Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery

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

A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis

Intelligent fault diagnosis of rotating machinery using a new ensemble deep auto-encoder method

A review of applications of artificial intelligent algorithms in wind farms

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

Compound fault diagnosis of rotating machinery based on OVMD and a 1.5-dimension envelope spectrum

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

Forecasting Short-Term Wind Speed Based on IEWT-LSSVM Model Optimized by Bird Swarm Algorithm