Monitoring Lévy-process crossovers [PDF]
Communications in Nonlinear Science and Numerical Simulation, 2021 The crossover among two or more types of diffusive processes represents a vibrant theme in nonequilibrium statistical physics. In this work we propose two models to generate crossovers among different Lévy processes: in the first model we change gradually the order of the derivative in the Laplacian term of the diffusion equation, whereas in the second
Maike A. F. dos Santos +2 more
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A type of symmetrical differential lever displacement amplification mechanism
Mechanics & Industry, 2021 The paper proposes a type of symmetrical flexure hinge displacement amplification mechanism, which is based on the differential lever to effectively improve the displacement output stroke of the PZT and reduce the additional displacement.
Fan Wei +3 more
doaj +1 more source
A Novel Dynamic Process Monitoring Algorithm: Dynamic Orthonormal Subspace Analysis [PDF]
, 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
core +1 more source
A Review on Data-Driven Process Monitoring Methods: Characterization and Mining of Industrial Data [PDF]
, 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
core +1 more source
Nonstationary Process Monitoring Based on Cointegration Theory and Multiple Order Moments [PDF]
, 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
core +1 more source
Research on Waste Plastics Classification Method Based on Multi-Scale Feature Fusion
Sensors, 2022 Microplastic particles produced by non-degradable waste plastic bottles have a critical impact on the environment. Reasonable recycling is a premise that protects the environment and improves economic benefits. In this paper, a multi-scale feature fusion
Zhenxing Cai +5 more
doaj +1 more source
Numerical study on instantaneous heat transfer characteristics of AC arc-fault
AIP Advances, 2021 Studying the heat transfer characteristics of alternating current (AC) arc-fault to electrodes is a key issue in electrical fires. In this paper, an instantaneous heat transfer numerical model of AC arc-fault is developed based on the magneto ...
Qirong Wu +4 more
doaj +1 more source
A Three-Step Framework for Multimodal Industrial Process Monitoring Based on DLAN, TSQTA, and FSBN [PDF]
, 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
core +1 more source
Explainable Predictive Process Monitoring [PDF]
2020 2nd International Conference on Process Mining (ICPM), 2020 Predictive Business Process Monitoring is becoming an essential aid for organizations, providing online operational support of their processes. This paper tackles the fundamental problem of equipping predictive business process monitoring with explanation capabilities, so that not only the what but also the why is reported when predicting generic KPIs ...
Galanti, Riccardo +4 more
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Industrial Application of Data-Driven Process Monitoring with an Automatic Selection Strategy for Modeling Data [PDF]
, 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
core +1 more source