Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence
C Zhao - Journal of Process Control, 2022 - Elsevier
The development of the Internet of Things, cloud computing, and artificial intelligence has
given birth to industrial artificial intelligence (IAI) technology, which enables us to obtain fine …
given birth to industrial artificial intelligence (IAI) technology, which enables us to obtain fine …
Exponential stationary subspace analysis for stationary feature analytics and adaptive nonstationary process monitoring
For real industrial processes, time-varying behaviors are quite common. Consequently,
industrial processes usually possess nonstationary characteristics, which makes …
industrial processes usually possess nonstationary characteristics, which makes …
Fault diagnosis of blast furnace iron-making process with a novel deep stationary kernel learning support vector machine approach
In the blast furnace iron-making process (BFIP), there still has been a significant push to
maintain a stable process and ensure maximum efficiency. Although some control systems …
maintain a stable process and ensure maximum efficiency. Although some control systems …
A local dynamic broad kernel stationary subspace analysis for monitoring blast furnace ironmaking process
For the actual blast furnace ironmaking process (BFIP), sophisticated dynamic, nonlinear,
and nonstationary characteristics make it hard to be modeled accurately with conventional …
and nonstationary characteristics make it hard to be modeled accurately with conventional …
Comparison of automated machine learning (AutoML) tools for epileptic seizure detection using electroencephalograms (EEG)
S Lenkala, R Marry, SR Gopovaram, TC Akinci… - Computers, 2023 - mdpi.com
Epilepsy is a neurological disease characterized by recurrent seizures caused by abnormal
electrical activity in the brain. One of the methods used to diagnose epilepsy is through …
electrical activity in the brain. One of the methods used to diagnose epilepsy is through …
Blast furnace ironmaking process monitoring with time-constrained global and local nonlinear analytic stationary subspace analysis
In this article, a novel time-constrained global and local nonlinear analytic stationary
subspace analysis (Tc-GLNASSA) is proposed to enhance blast furnace ironmaking process …
subspace analysis (Tc-GLNASSA) is proposed to enhance blast furnace ironmaking process …
Adaptive dynamic inferential analytic stationary subspace analysis: A novel method for fault detection in blast furnace ironmaking process
Detecting faults in blast furnace ironmaking process (BFIP) remains a challenging task due
to the hybrid properties involving dynamics and nonstationarity. To address this problem …
to the hybrid properties involving dynamics and nonstationarity. To address this problem …
Dynamic stationary subspace analysis for monitoring nonstationary dynamic processes
D Wu, L Sheng, D Zhou, M Chen - Industrial & Engineering …, 2020 - ACS Publications
With the increasing demand for process safety and production efficiency, many research
efforts have been made for nonstationary process monitoring in recent years. However …
efforts have been made for nonstationary process monitoring in recent years. However …
A comprehensive taxonomy of dynamic texture representation
Representing dynamic textures (DTs) plays an important role in many real implementations
in the computer vision community. Due to the turbulent and non-directional motions of DTs …
in the computer vision community. Due to the turbulent and non-directional motions of DTs …
Unified Low-Dimensional Subspace Analysis of Continuous and Binary Variables for Industrial Process Monitoring
Industrial data often consist of continuous variables (CVs) and binary variables (BVs), both
of which provide crucial information about process operating conditions. Due to the coupling …
of which provide crucial information about process operating conditions. Due to the coupling …