Feng Lü

Smart farming using artificial intelligence: A review

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

A review on extreme learning machine

A new bearing fault diagnosis method based on modified convolutional neural networks

Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review

Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Recent trends and challenges in predictive maintenance of aircraft’s engine and hydraulic system

Nested SVDD in DAG SVM for induction motor condition monitoring

Feature Selection Algorithm for Intrusions Detection System using Sequential Forward Search and Random Forest Classifier

Large group activity security risk assessment and risk early warning based on random forest algorithm

A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains

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

Fault diagnosis of rolling bearing based on feature reduction with global-local margin Fisher analysis

Integral Sensor Fault Detection and Isolation for Railway Traction Drive

Sensor Fault Diagnosis for Aero Engine Based on Online Sequential Extreme Learning Machine with Memory Principle

Restricted-Boltzmann-Based Extreme Learning Machine for Gas Path Fault Diagnosis of Turbofan Engine

A Model‐Based Approach for Gas Turbine Engine Performance Optimal Estimation

A Feature Selection Algorithm towards Efficient Intrusion Detection

An improved extended Kalman filter with inequality constraints for gas turbine engine health monitoring

Recursive reduced kernel based extreme learning machine for aero-engine fault pattern recognition

Fault diagnosis based on measurement reconstruction of HPT exit pressure for turbofan engine

Robust In-Flight Sensor Fault Diagnostics for Aircraft Engine Based on Sliding Mode Observers