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Review and comparison of techniques of analysis of valve stiction: From modeling to smart diagnosis
RB di Capaci, C Scali - Chemical Engineering Research and Design, 2018 - Elsevier
The importance of evaluating valve conditions and detecting the onset of possible
malfunctions is recognized as a key issue in control performance monitoring, as they may …
malfunctions is recognized as a key issue in control performance monitoring, as they may …
Comparison of current state of control valve stiction detection and quantification techniques
V Akavalappil… - Transactions of the …, 2022 - journals.sagepub.com
The process control and automation system is one of the significant features in any process
plant. The control valve is considered a fundamental part of the process control system. It …
plant. The control valve is considered a fundamental part of the process control system. It …
Reinforced recurrent neural networks for multi-step-ahead flood forecasts
Considering true values cannot be available at every time step in an online learning
algorithm for multi-step-ahead (MSA) forecasts, a MSA reinforced real-time recurrent …
algorithm for multi-step-ahead (MSA) forecasts, a MSA reinforced real-time recurrent …
Valve stiction detection through improved pattern recognition using neural networks
A non-invasive method for detecting valves suffering from stiction using multi-layer feed-
forward neural networks (NN) is proposed, via a simple class-based diagnosis. The …
forward neural networks (NN) is proposed, via a simple class-based diagnosis. The …
A simple model-free butterfly shape-based detection (BSD) method integrated with deep learning CNN for valve stiction detection and quantification
B Kamaruddin, H Zabiri, AAAM Amiruddin… - Journal of Process …, 2020 - Elsevier
Control valve stiction is a long-standing problem within process industries. In most methods
for shape-based stiction detection, they rely heavily on the traditional controller output (OP) …
for shape-based stiction detection, they rely heavily on the traditional controller output (OP) …
Variants of slow feature analysis framework for automatic detection and isolation of multiple oscillations in coupled control loops
J Wang, C Zhao - Computers & Chemical Engineering, 2020 - Elsevier
Oscillation is a frequent type of control performance degradation. Usually, multiple
oscillations simultaneously propagate through coupled control loops, bringing challenges to …
oscillations simultaneously propagate through coupled control loops, bringing challenges to …
Enhancing MPC formulations by identification and estimation of valve stiction
A common source of poor control performance in industrial processes is represented by
stiction in control valves, which often induces offset, oscillating behavior, and even loss of …
stiction in control valves, which often induces offset, oscillating behavior, and even loss of …
Oscillation detection in process industries by a machine learning-based approach
JWV Dambros, JO Trierweiler… - Industrial & …, 2019 - ACS Publications
Oscillatory control loop is a frequent problem in process industries. Its incidence highly
degrades the plant profitability, which means oscillation detection and removal is …
degrades the plant profitability, which means oscillation detection and removal is …
A geometrically inspired quantification approach for valve stiction using Riemannian logarithmic map
B Huang, LS Hu - Measurement, 2022 - Elsevier
Valve stiction is one of the most important failure modes of valve, which may make the
control loops suffered from severe performance degradation. Therefore, valve failure …
control loops suffered from severe performance degradation. Therefore, valve failure …
Frequency analysis and compensation of valve stiction in cascade control loops
Valve stiction is often a common problem in control loops and stiction induced oscillation is
the main cause of poor performance in control systems. Cascade control is extensively …
the main cause of poor performance in control systems. Cascade control is extensively …