Results 1 to 10 of about 1,558,454 (317)
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
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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
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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
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Indoor Positioning Systems Can Revolutionise Digital Lean
Applied Sciences, 2021 The powerful combination of lean principles and digital technologies accelerates waste identification and mitigation faster than traditional lean methods.
Tuan-Anh Tran +2 more
doaj +1 more source
Event-Tree Based Sequence Mining Using LSTM Deep-Learning Model
Complexity, 2021 During the operation of modern technical systems, the use of the LSTM model for the prediction of process variable values and system states is commonly widespread.
János Abonyi +2 more
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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
core +1 more source
Mathematics, 2021 A data-driven method to identify frequent sets of course failures that students should avoid in order to minimize the likelihood of their dropping out from their university training is proposed.
Róbert Csalódi, János Abonyi
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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
core +1 more source
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
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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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