A review on soft sensors for monitoring, control, and optimization of industrial processes

Y Jiang, S Yin, J Dong, O Kaynak - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
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 …

A survey of fault diagnosis and fault-tolerant techniques—Part I: Fault diagnosis with model-based and signal-based approaches

Z Gao, C Cecati, SX Ding - IEEE transactions on industrial …, 2015 - ieeexplore.ieee.org
With the continuous increase in complexity and expense of industrial systems, there is less
tolerance for performance degradation, productivity decrease, and safety hazards, which …

A survey on active fault-tolerant control systems

A Abbaspour, S Mokhtari, A Sargolzaei, KK Yen - Electronics, 2020 - mdpi.com
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) …

Data-driven monitoring and safety control of industrial cyber-physical systems: Basics and beyond

Y Jiang, S Yin, O Kaynak - IEEE Access, 2018 - ieeexplore.ieee.org
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 …

Performance supervised plant-wide process monitoring in industry 4.0: A roadmap

Y Jiang, S Yin, O Kaynak - IEEE Open Journal of the Industrial …, 2020 - ieeexplore.ieee.org
The intensive research and development efforts directed towards large-scale complex
industrial systems in the context of Industry 4.0 indicate that safety and reliability issues pose …

Data augmentation in fault diagnosis based on the Wasserstein generative adversarial network with gradient penalty

X Gao, F Deng, X Yue - Neurocomputing, 2020 - Elsevier
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 …

Improved PLS focused on key-performance-indicator-related fault diagnosis

S Yin, X Zhu, O Kaynak - IEEE Transactions on Industrial …, 2014 - ieeexplore.ieee.org
Standard partial least squares (PLS) serves as a powerful tool for key performance indicator
(KPI) monitoring in large-scale process industry for last two decades. However, the standard …

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 …