Historically, point solutions were widely used for ATE test cell operation such as production test, maintenance, status monitoring, data collection and analysis. This creates numerous test cell integration *** a key e...
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ISBN:
(数字)9798331513351
ISBN:
(纸本)9798331513368
Historically, point solutions were widely used for ATE test cell operation such as production test, maintenance, status monitoring, data collection and analysis. This creates numerous test cell integration *** a key enabler of Industry 4.0, IoT is a convergence of embedded systems, network connectivity, real time monitoring and remote control, and automation. This paper proposes building solutions upon IoT which provides a common architectural ground for test cell operations and management. Better consistency, compatibility, interoperability, and scalability can be achieved.
This paper proposes a data-driven supervised machine learning (ML) for online thermal modeling of electrically excited synchronous motors (EESMs). EESMs are desired for EVs due to their high performance, efficiency, a...
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ISBN:
(数字)9798350317664
ISBN:
(纸本)9798350317671
This paper proposes a data-driven supervised machine learning (ML) for online thermal modeling of electrically excited synchronous motors (EESMs). EESMs are desired for EVs due to their high performance, efficiency, and durability at a relatively low cost. Therefore, obtaining precise EESM temperature estimations are significantly important, because online accurate temperature estimation can lead to EESM performance improvement and guaranteeing its safety and reliability. In this study, in addition to the default inputs’ data, EESM losses data is leveraged to improve the performance of the proposed ML approach for thermal modeling. Exponentially weighted moving averages and standard deviations of the inputs are also incorporated in the learning process to consider the memory effect for modeling a dynamical thermal model. Using the experimental data of an EESM prototype, the performance of ordinary least squares (OLS) method is evaluated through a complete training, testing and cross-validation process. Finally, simulation results will provide the key performance metrics of OLS for EESM thermal modeling.
The increasing competition in the banking industry has made customer churn analysis and prediction a crucial concern. Banks must now adopt customer retention strategies while also working towards acquiring new custome...
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Advanced knowledge engineering (KE), represented by knowledge graph (KG), drives the development of various fields and engineering technologies and provides various knowledge fusion and knowledge empowerment interface...
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Advanced knowledge engineering (KE), represented by knowledge graph (KG), drives the development of various fields and engineering technologies and provides various knowledge fusion and knowledge empowerment interfaces. At the same time, advanced system engineering (SE) takes model-based system engineering (MBSE) as the core to realize formal modeling and processanalysis of the whole system. The two complement each other and are the key technologies for the transition from 2.0 to 3.0 in the era of artificial intelligence and the transition from perceptual intelligence to cognitive intelligence. This survey summarizes an advanced information fusion system, from model-driven to knowledge-enabled. Firstly, the concept, representative methods, key technologies and application fields of model-driven system engineering are introduced. Then, it introduces the concept of knowledge-driven knowledge engineering, summarizes the architecture and construction methods of advanced knowledge engineering and summarizes the application fields. Finally, the combination of advanced information fusion systems, development opportunities and challenges are discussed.
The F oilfield in the Middle East straddles Iran and Iraq, and the contract block only includes the Iraqi part, structural incompleteness is a difficult problem in oilfield research. Oilfield development and geologica...
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ISBN:
(纸本)9789811921483
The F oilfield in the Middle East straddles Iran and Iraq, and the contract block only includes the Iraqi part, structural incompleteness is a difficult problem in oilfield research. Oilfield development and geological modeling also face several other challenges, including complex lithology, many factors affecting reservoir physical property, lack of testing data resulting in great uncertainty in physical property interpretation, and no effective constraints in attribute modeling. In view of these difficulties, a set of fine reservoir geological modeling technology series suitable for trans-boundary and mixed reservoirs are established, including set up virtual wells to complete the structure, multistage facies controlling geological modeling, mixed lithology classification and sedimentary microfacies study, evaluation of effective permeability by dynamic and static combination, conditional constraint saturation modeling. Referring to the structural form of Iranian part of F Oilfield in public data, the virtual wells are reasonably set up, and the incomplete anticline structure is complemented by combining the virtual wells with the structure in the contract area. A two-stage model of lithofacies and reservoir facies is established by using the idea of multistage facies control. The reservoir facies model is established under the constraint of sedimentary facies model to ensure the reasonable distribution of reservoir in space. By using the two-terminal element classification method, the classification standard of mixed reservoir suitable for F oilfield is established, and the research process of sedimentary microfacies in mixing background is formed, which solves the problems of complex rock classification and sedimentary microfacies research, and lays the foundation for the modeling of sedimentary facies and reservoir facies. Effective permeability of single well is evaluated by combining dynamic and static data, and the trend surface of dynamic/static permeabilit
Insurance claims pose a significant and costly challenge for insurance companies. Managing insurance claims presents a fundamental issue for insurance firms. Insurers continually face the challenge of mitigating the e...
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The proceedings contain 150 papers. The special focus in this conference is on Signal and Information processing, Network and Computers. The topics include: Deep Learning Neural Networks with Auto-adjustable Attention...
ISBN:
(纸本)9789811999673
The proceedings contain 150 papers. The special focus in this conference is on Signal and Information processing, Network and Computers. The topics include: Deep Learning Neural Networks with Auto-adjustable Attention Mechanism for Server Fault Diagnosis Under Log data;bit Synchronization Verification Strategy for High Orbit Navigation Receiver;real Time Dynamic Adjustment Calculation Method of Camera Integration Time Based on Spaceborne Digital Elevation Model;a Time Sequence Design for Improving the Output Frequency and Accuracy of Star Sensor Under High Dynamic Conditions;research on the Measurement Method of Inter-satellite Clock Difference and Distance of Formation Satellites;research on Asteroid Detection Radar Based on High Precision Signal Delay Estimation;review of Micro-vibration modeling, Suppression, and Measurement for Spacecraft with High-Precision;satellite Gravity Gradient Measurement Technology Based on Superconducting Suspension;the Mathematic Analytical Results of Self Excited Flyback Converter with Double Switches;anomaly Interpretation Method Based on data Mining for Remote Sensing Satellite Payload;a Study on Determination Method of Safety Band in the Translational Closing Section of Rendezvous and Docking;preface;A New Multi-instance Learning Algorithm Integrated with TF-IDF for Entity Relation Extraction in Electronic Medical Records;a Hierarchical Classification Algorithm of Spacecraft Telemetry data Based on Time Series Characteristics;prospect analysis of Satellite Application of Long-Distance Wireless Energy Transmission System;design of Multi-dimensional control and Multi-subsystem Cooperative Operation Algorithm for control Subsystem;research on Attitude Determination of Spacecraft Two-Stage Composite control System;design of Dual Robot Collaborative Assembly Scheme for Aerospace Products;design of Model-Based Spacecraft Flight control Support System.
作者：
Jbira, NajwaLebnaiti, AnassMounir, Sanaa HayaniHarfouf, Amine ElLatrache, Firyal
EMAFI Team Department of Physics Sultan Moulay Slimane University of Beni Mellal Polydisciplinary Faculty of Khouribga BP: 145 Main Khouribga25000 Morocco Mechanics
Energetics Systems and Signals Team Laboratory of Modelization and Scientific Calculus National School of Applied Sciences University Mohammed 1 BP 696 Oujda Morocco
Energy integration of processes has become necessary to optimize industrial sites in terms of investment and operating costs, energy consumption, flexibility, and gas emissions. The large number of variables and data ...
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The proceedings contain 205 papers. The topics discussed include: influencing factors of crosswind environment on vehicle running safety and analysis of driving stability;research on the spatio-temporal evolution patt...
ISBN:
(纸本)9781510673540
The proceedings contain 205 papers. The topics discussed include: influencing factors of crosswind environment on vehicle running safety and analysis of driving stability;research on the spatio-temporal evolution pattern of traffic dominance in Shaanxi Province;analysis of the factors influencing the severity of straight-left conflicts under left turn permit phase;identification of key road sections based on mobility reliability of road network;assessment of the impact of forward vision on vehicle start-stop process and traffic operation;traffic influence analysis of the area adjacent accident point on freeway in connected environment;the design of distributed photovoltaic charging station for electric vehicles;high speed train optimal adhesion control method based on a cubature Kalman filter;simulation study of ship traffic flow in two-way narrow channel considering channel risk;and design and research on passenger flow monitoring system of integrated transport hub based on big data.
With the development of the times, virtual product shopping has become more and more integrated into our daily lives, affecting consumers’ choices and decisions. This not only provides merchants with a broader space ...
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