Q. Peter He

An Overview of Industrial Alarm Systems: Main Causes for Alarm Overloading, Research Status, and Open Problems

Digital Twin for the Oil and Gas Industry: Overview, Research Trends, Opportunities, and Challenges

A PLS-Based Statistical Approach for Fault Detection and Isolation of Robotic Manipulators

A new data analytics framework emphasising preprocessing of data to generate insights into complex manufacturing systems

Fault diagnosis on material handling system using feature selection and data mining techniques

Deep learning for smart manufacturing: Methods and applications

Data-driven Soft Sensors in the process industry

Testing the fluctuations of oil resource price volatility: A hurdle for economic recovery

A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process

A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions

Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification

Manufacturing big data ecosystem: A systematic literature review

Nonlinear Gaussian Belief Network based fault diagnosis for industrial processes

Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm

Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0

Survey on data-driven industrial process monitoring and diagnosis

Performance Monitoring for Vehicle Suspension System via Fuzzy Positivistic C-Means Clustering Based on Accelerometer Measurements

Root cause diagnosis of plant-wide oscillations using Granger causality

Process monitoring using principal component analysis and stacked autoencoder for linear and nonlinear coexisting industrial processes

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

Data Mining and Analytics in the Process Industry: The Role of Machine Learning

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

Multimerization of an Alcohol Dehydrogenase by Fusion to a Designed Self-Assembling Protein Results in Enhanced Bioelectrocatalytic Operational Stability

Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks

Industrial Applications of Enzymes: Recent Advances, Techniques, and Outlooks

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

Data-driven smart manufacturing

Statistics pattern analysis: A new process monitoring framework and its application to semiconductor batch processes

Statistical process monitoring as a big data analytics tool for smart manufacturing

Statistical Process Monitoring for IoT-Enabled Cybermanufacturing: Opportunities and Challenges

A mini review on bioreactor configurations and gas transfer enhancements for biochemical methane conversion

Multivariate Statistical Process Monitoring Based on Statistics Pattern Analysis

A Curve Fitting Method for Detecting Valve Stiction in Oscillating Control Loops

A new fault diagnosis method using fault directions in Fisher discriminant analysis

A novel process monitoring approach based on variational recurrent autoencoder