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A review on soft sensors for monitoring, control, and optimization of industrial processes
Over the past twenty years, numerous research outcomes have been published, related to
the design and implementation of soft sensors. In modern industrial processes, various types …
the design and implementation of soft sensors. In modern industrial processes, various types …
Challenges and opportunities of deep learning-based process fault detection and diagnosis: a review
J Yu, Y Zhang - Neural Computing and Applications, 2023 - Springer
Process fault detection and diagnosis (FDD) is a predominant task to ensure product quality
and process reliability in modern industrial systems. Those traditional FDD techniques are …
and process reliability in modern industrial systems. Those traditional FDD techniques are …
Quality prediction modeling for industrial processes using multiscale attention-based convolutional neural network
Soft sensors have been increasingly applied for quality prediction in complex industrial
processes, which often have different scales of topology and highly coupled spatiotemporal …
processes, which often have different scales of topology and highly coupled spatiotemporal …
Data augmentation in fault diagnosis based on the Wasserstein generative adversarial network with gradient penalty
Fault detection and diagnosis in industrial process is an extremely essential part to keep
away from undesired events and ensure the safety of operators and facilities. In the last few …
away from undesired events and ensure the safety of operators and facilities. In the last few …
[HTML][HTML] A survey on active fault-tolerant control systems
Faults and failures in the system components are two main reasons for the instability and the
degradation in control performance. In recent decades, fault-tolerant control (FTC) …
degradation in control performance. In recent decades, fault-tolerant control (FTC) …
Data-driven monitoring and safety control of industrial cyber-physical systems: Basics and beyond
Industrial cyber-physical systems (ICPSs) are the backbones of Industry 4.0 and as such,
have become a core transdisciplinary area of research, both in industry and academia. New …
have become a core transdisciplinary area of research, both in industry and academia. New …
Recent advances on SVM based fault diagnosis and process monitoring in complicated industrial processes
Z Yin, J Hou - Neurocomputing, 2016 - Elsevier
With the advancement of industrial systems, fault monitoring and diagnosis methods based
on the data-driven attract much attention in recent years. This kind of methods are widely …
on the data-driven attract much attention in recent years. This kind of methods are widely …