Recent trends on hybrid modeling for Industry 4.0

J Sansana, MN Joswiak, I Castillo, Z Wang… - Computers & Chemical …, 2021 - Elsevier
The chemical processing industry has relied on modeling techniques for process monitoring,
control, diagnosis, optimization, and design, especially since the third industrial revolution …

An analysis of process fault diagnosis methods from safety perspectives

R Arunthavanathan, F Khan, S Ahmed… - Computers & Chemical …, 2021 - Elsevier
Industry 4.0 provides substantial opportunities to ensure a safer environment through online
monitoring, early detection of faults, and preventing the faults to failures transitions. Decision …

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 …

Fault detection for non-Gaussian processes using generalized canonical correlation analysis and randomized algorithms

Z Chen, SX Ding, T Peng, C Yang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we first study a generalized canonical correlation analysis (CCA)-based fault
detection (FD) method aiming at maximizing the fault detectability under an acceptable false …

Decline in climate resilience of European wheat

H Kahiluoto, J Kaseva, J Balek… - Proceedings of the …, 2019 - National Acad Sciences
Food security relies on the resilience of staple food crops to climatic variability and extremes,
but the climate resilience of European wheat is unknown. A diversity of responses to …

Process data analytics in the era of big data

SJ Qin - AIChE Journal, 2014 - scholars.ln.edu.hk
For engineering systems where processes, units, and equipment are designed with clear
objectives and are usually operated under well‐controlled circumstances as designed …

The mahalanobis distance

R De Maesschalck, D Jouan-Rimbaud… - … and intelligent laboratory …, 2000 - Elsevier
The theory of many multivariate chemometrical methods is based on the measurement of
distances. The Mahalanobis distance (MD), in the original and principal component (PC) …

[引用][C] Fault Detection and Diagnosis in Industrial Systems

LH Chiang - 2000 - books.google.com
Early and accurate fault detection and diagnosis for modern manufacturing processes can
minimise downtime, increase the safety of plant operations, and reduce costs. Such process …

Data-driven digital twin technology for optimized control in process systems

R He, G Chen, C Dong, S Sun, X Shen - ISA transactions, 2019 - Elsevier
Due to the installation of various apparatus in process industries, both factors of complex
structures and severe operating conditions could result in higher accident frequencies and …

Biomarkers for physical frailty and sarcopenia: state of the science and future developments

R Calvani, F Marini, M Cesari, M Tosato… - Journal of cachexia …, 2015 - Wiley Online Library
Physical frailty and sarcopenia are two common and largely overlapping geriatric conditions
upstream of the disabling cascade. The lack of a unique operational definition for physical …