Survey on data-driven industrial process monitoring and diagnosis
SJ Qin - Annual reviews in control, 2012 - Elsevier
This paper provides a state-of-the-art review of the methods and applications of data-driven
fault detection and diagnosis that have been developed over the last two decades. The …
fault detection and diagnosis that have been developed over the last two decades. The …
[HTML][HTML] A critical review of recent trends in sample classification using Laser-Induced Breakdown Spectroscopy (LIBS)
L Brunnbauer, Z Gajarska, H Lohninger… - TrAC Trends in Analytical …, 2023 - Elsevier
LIBS-based classification has experienced an ever-increasing interest in the last few years.
LIBS is a well-suited technique for classification tasks based on elemental fingerprinting …
LIBS is a well-suited technique for classification tasks based on elemental fingerprinting …
[PDF][PDF] 动态系统的故障诊断技术
周东华, 胡艳艳 - 自动化学报, 2009 - aas.net.cn
摘要提出了一种全新的分类框架, 将故障诊断方法整体分为两大类, 即定性分析的方法和定量
分析的方法. 对现有的方法在此框架下进行了划分, 并详细介绍了每种方法的基本思想 …
分析的方法. 对现有的方法在此框架下进行了划分, 并详细介绍了每种方法的基本思想 …
A novel dynamic PCA algorithm for dynamic data modeling and process monitoring
Principal component analysis (PCA) has been widely applied for data modeling and process
monitoring. However, it is not appropriate to directly apply PCA to data from a dynamic …
monitoring. However, it is not appropriate to directly apply PCA to data from a dynamic …
[HTML][HTML] Industrial process monitoring in the big data/industry 4.0 era: From detection, to diagnosis, to prognosis
MS Reis, G Gins - Processes, 2017 - mdpi.com
We provide a critical outlook of the evolution of Industrial Process Monitoring (IPM) since its
introduction almost 100 years ago. Several evolution trends that have been structuring IPM …
introduction almost 100 years ago. Several evolution trends that have been structuring IPM …
Review of recent research on data-based process monitoring
Data-based process monitoring has become a key technology in process industries for
safety, quality, and operation efficiency enhancement. This paper provides a timely update …
safety, quality, and operation efficiency enhancement. This paper provides a timely update …
[HTML][HTML] Chemometric methods for spectroscopy-based pharmaceutical analysis
A Biancolillo, F Marini - Frontiers in chemistry, 2018 - frontiersin.org
Spectroscopy is widely used to characterize pharmaceutical products or processes,
especially due to its desirable characteristics of being rapid, cheap, non-invasive/non …
especially due to its desirable characteristics of being rapid, cheap, non-invasive/non …
Statistical process monitoring: basics and beyond
S Joe Qin - Journal of Chemometrics: A Journal of the …, 2003 - Wiley Online Library
This paper provides an overview and analysis of statistical process monitoring methods for
fault detection, identification and reconstruction. Several fault detection indices in the …
fault detection, identification and reconstruction. Several fault detection indices in the …
One step forward for smart chemical process fault detection and diagnosis
X Bi, R Qin, D Wu, S Zheng, J Zhao - Computers & Chemical Engineering, 2022 - Elsevier
Process fault detection and diagnosis (FDD) is an essential tool to ensure safe production in
chemical industries. After decades of development, despite the promising performance of …
chemical industries. After decades of development, despite the promising performance of …
Applications of fault detection and diagnosis methods in nuclear power plants: A review
Nuclear power industries have increasing interest in using fault detection and diagnosis
(FDD) methods to improve safety, reliability, and availability of nuclear power plants (NPP) …
(FDD) methods to improve safety, reliability, and availability of nuclear power plants (NPP) …