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 …
Data-driven soft sensors in the process industry
P Kadlec, B Gabrys, S Strandt - Computers & chemical engineering, 2009 - Elsevier
In the last two decades Soft Sensors established themselves as a valuable alternative to the
traditional means for the acquisition of critical process variables, process monitoring and …
traditional means for the acquisition of critical process variables, process monitoring and …
[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 …
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 …
A full‐condition monitoring method for nonstationary dynamic chemical processes with cointegration and slow feature analysis
Chemical processes are in general subject to time variant conditions because of load
changes, product grade transitions, or other causes, resulting in typical nonstationary …
changes, product grade transitions, or other causes, resulting in typical nonstationary …
A review of process fault detection and diagnosis: Part III: Process history based methods
V Venkatasubramanian, R Rengaswamy… - Computers & chemical …, 2003 - Elsevier
In this final part, we discuss fault diagnosis methods that are based on historic process
knowledge. We also compare and evaluate the various methodologies reviewed in this …
knowledge. We also compare and evaluate the various methodologies reviewed in this …
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 …
Diagnosing network-wide traffic anomalies
A Lakhina, M Crovella, C Diot - ACM SIGCOMM computer …, 2004 - dl.acm.org
Anomalies are unusual and significant changes in a network's traffic levels, which can often
span multiple links. Diagnosing anomalies is critical for both network operators and end …
span multiple links. Diagnosing anomalies is critical for both network operators and end …
Mining anomalies using traffic feature distributions
A Lakhina, M Crovella, C Diot - ACM SIGCOMM computer …, 2005 - dl.acm.org
The increasing practicality of large-scale flow capture makes it possible to conceive of traffic
analysis methods that detect and identify a large and diverse set of anomalies. However the …
analysis methods that detect and identify a large and diverse set of anomalies. However the …
Recursive PCA for adaptive process monitoring
W Li, HH Yue, S Valle-Cervantes, SJ Qin - Journal of process control, 2000 - Elsevier
While principal component analysis (PCA) has found wide application in process
monitoring, slow and normal process changes often occur in real processes, which lead to …
monitoring, slow and normal process changes often occur in real processes, which lead to …