Fei Chu

Variance sensitive adaptive threshold-based PCA method for fault detection with experimental application

Data-Based Techniques Focused on Modern Industry: An Overview

Self-accelerating turbidity currents

Compressor performance prediction using a novel feed-forward neural network based on Gaussian kernel function

Semi-Supervised Broad Learning System Based on Manifold Regularization and Broad Network

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

Review on deep learning applications in frequency analysis and control of modern power system

The structure and fluid mechanics of turbidity currents: a review of some recent studies and their geological implications

Conditions for the ignition of catastrophically erosive turbidity currents

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

Sediment Deposition from Turbidity Currents

Deep learning and its applications to machine health monitoring

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

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

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

Integrating Model-Driven and Data-Driven Methods for Power System Frequency Stability Assessment and Control

Data modeling for quality prediction using improved orthogonal incremental random vector functional-link networks

The physical character of subaqueous sedimentary density flows and their deposits

A hybrid artificial neural network—mechanistic model for centrifugal compressor

Performance modeling of centrifugal compressor using kernel partial least squares

On-line batch process monitoring using batch dynamic kernel principal component analysis

An analytical study of turbidity current steady flow

Robust Regularized Random Vector Functional Link Network and Its Industrial Application