Results 11 to 20 of about 13,980,683 (311)
A Novel Dynamic Process Monitoring Algorithm: Dynamic Orthonormal Subspace Analysis
, 2023 Orthonormal subspace analysis (OSA) is proposed for handling the subspace decomposition issue and the principal component selection issue in traditional key performance indicator (KPI)-related process monitoring methods such as partial least squares (PLS)
Shan Lu +5 more
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A Review on Data-Driven Process Monitoring Methods: Characterization and Mining of Industrial Data
, 2022 Safe and stable operation plays an important role in the chemical industry. Fault detection and diagnosis (FDD) make it possible to identify abnormal process deviations early and assist operators in taking proper action against fault propagation.
Wei Sun, Cheng Ji
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Nonstationary Process Monitoring Based on Cointegration Theory and Multiple Order Moments
, 2022 In industrial processes, process data often exhibit complex characteristics, such as nonstationarity and nonlinearity, which brings challenges to process monitoring.
Yang Li +3 more
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Sensors, 2022 One of the main challenges of Industry 4.0 is how advanced sensors and sensing technologies can be applied through the Internet of Things layers of existing manufacturing.
Tamás Ruppert +4 more
doaj +1 more source
Contextual and Ethical Issues with Predictive Process Monitoring [PDF]
, 2022 This thesis addresses contextual and ethical issues in the predictive process monitoring framework and several related issues. Regarding contextual issues, even though the importance of case, process, social and external contextual factors in the ...
Ogunbiyi, Oluniyi
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A Three-Step Framework for Multimodal Industrial Process Monitoring Based on DLAN, TSQTA, and FSBN
, 2023 The process monitoring method for industrial production can technically achieve early warning of abnormal situations and help operators make timely and reliable response decisions.
Hua Wang +4 more
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Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions
IEEE Access, 2022 The ongoing Industry 4.0 is characterized by the connectivity between components in the manufacturing system. For modern machines, the Internet of Things is a built-in function.
Tuan-Anh Tran +3 more
doaj +1 more source
, 2023 The increasing scale of industrial processes has significantly motivated the development of data-driven fault detection and diagnosis techniques. The selection of representative fault-free modeling data from operation history is an important prerequisite
Zhuoteng Zhou +4 more
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Results in Engineering, 2022 A method for flexible vibration sensor-based retrofitting of CNC machines is proposed. As different states leave different fingerprints in the power spectrum plane, the states of the machine can be distinguished based on the features extracted from the ...
Alex Kummer +3 more
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State-space independent component analysis for nonlinear dynamic process monitoring [PDF]
, 2010 The cost effective benefits of process monitoring will never be over emphasised. Amongst monitoring techniques, the Independent Component Analysis (ICA) is an efficient tool to reveal hidden factors from process measurements, which follow non-Gaussian
Odiowei, P. P., Cao, Yi
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