J Qian, Z Song, Y Yao, Z Zhu, X Zhang - Chemometrics and Intelligent …, 2022 - Elsevier
Process monitoring technologies play a key role in maintaining the steady state of industrial processes. However, with the increasing complexity of modern industrial processes …
W Fang, Z Liu, ARS Putra - Renewable Energy, 2022 - Elsevier
The study focuses on examining the impact of R&D and industrialization on green economic growth. Financial assistance for environmentally friendly initiatives, the advancement of new …
Y Wang, Z Pan, X Yuan, C Yang, W Gui - ISA transactions, 2020 - Elsevier
Deep learning networks have been recently utilized for fault detection and diagnosis (FDD) due to its effectiveness in handling industrial process data, which are often with high …
YJ Park, SKS Fan, CY Hsu - Processes, 2020 - mdpi.com
The main roles of fault detection and diagnosis (FDD) for industrial processes are to make an effective indicator which can identify faulty status of a process and then to take a proper …
H Wu, J Zhao - Computers & chemical engineering, 2018 - Elsevier
Numerous accidents in chemical processes have caused emergency shutdowns, property losses, casualties and/or environmental disruptions in the chemical process industry. Fault …
C Lu, ZY Wang, WL Qin, J Ma - Signal Processing, 2017 - Elsevier
Effective fault diagnosis has long been a research topic in the prognosis and health management of rotary machinery engineered systems due to the benefits such as safety …
Anomaly detection is crucial to ensure the security of cyber-physical systems (CPS). However, due to the increasing complexity of CPSs and more sophisticated attacks …
CL Liu, WH Hsaio, YC Tu - IEEE Transactions on industrial …, 2018 - ieeexplore.ieee.org
Time series classification is an important research topic in machine learning and data mining communities, since time series data exist in many application domains. Recent …
Y Dong, SJ Qin - Journal of Process Control, 2018 - Elsevier
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 …