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检索条件"任意字段=Conference on Data Analysis and Modeling for Process Control"

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Design of Steam Thermal Deicing control System for Wind Turbine Blades Based on BP Neural Network Algorithm

Design of Steam Thermal Deicing Control System for Wind Turb...

引用

2023 International conference on Power, Electrical Engineering, Electronics and control, PEEEC 2023

作者： Lin, Xuefeng Zheng, Ruxin Xu, Liwei Wang, Chuanxi Wu, Tong Yang, Wenkang Liao, Zhiyong Kang, Peng China Huaneng Group Clean Energy Technology Research Institute Co. Ltd Beijing102209 China Tianjin Crrc Wind Energy Technology Co. Ltd Hunan Zhuzhou412000 China Hunan Tianfeng Technology Co. Ltd. Zhuzhou412000 China Zhuzhou 412000 China

ISBN: (纸本)9798350329124

With the growth of wind power industry and the increase of single unit capacity, wind power generation plays a more important role in the national economy, which also puts forward higher requirements for the reliable and stable operation of wind turbines in complex natural environment. Ice coating on the blade surface will change its cross-sectional shape and structure, so that its inherent aerodynamic characteristics will be changed and its aerodynamic performance will be reduced. The increased ice weight will change the natural frequency of the fan parts, which may lead to the stall of the fan blades ahead of time or later, resulting in the loss of wind power generation. Compared with other anti-icing technologies, the blade gas heating method has the engineering and technical advantages of easy transformation, easy maintenance, high deicing efficiency, flexible design and operation. In this article, a back propagation neural network (BPNN) based control algorithm for wind turbine blade thermal de-icing is proposed. This method is used to establish the model of wind turbine, which only needs the data of input and output training samples, and does not need the inherent parameters of the fan and the calculation and derivation process, thus making the modeling and simulation process simpler and more accurate. © 2023 IEEE.

关键词： control systems

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Reliability analysis of Francis Turbine Cracking Using Gamma Frailty Model and Censored Historical Maintenance data 19

Reliability Analysis of Francis Turbine Cracking Using Gamma...

引用

19th International conference on Software Technologies, ICSOFT 2024

作者： Tshibangu, Théophile Mbuyi Ngoma, Guyh Dituba Gagnon, Martin Carle, Sébastien School of Engineering University of Quebec in Abitibi-Témiscamingue 445 Boulevard de l’Université Rouyn-NorandaJ9X 5E4 Canada Hydro-Québec’s Research Institute 1800 boulevard Lionel-Boulet VarennesQCJ3X 1S1 Canada Hydro-Québec 1095 Rue Saguenay Rouyn-NorandaQCJ9X 5B5 Canada

ISBN: (纸本)9789897587061

All over the world, the need for electrical energy has increased dramatically, forcing hydroelectric power plants to operate under non-standard conditions. This leads to premature fatigue cracking and consequently to multiples crack inspections. In this research, a probabilistic model is developed based on frailty and censoring. The model takes advantage of the use of a Non-Homogeneous Poisson process (NHPP) because turbine runners are considered as repairable parts. We develop the marginal likelihood expression incorporating frailty effect using gamma frailty distribution and we use the stochastic gradient descent (SGD) algorithm to obtain the optimal parameters. Furthermore, instead of considering the frailty effect z as a random variable, we decide to derive its expression from the individual unconditional likelihood function that has been also optimized. Finally, we compare reliability and cumulative hazard functions between family members. We then confirm the results obtained by comparing reliability between two families that behaved differently. Results shows that frailty effect, that is fonction of failure statuses and individual final time of observation for a specific component has played an impor tant role in differentiating heterogeneity among groups of the same family. Reliability curves clearly demonstrate heterogeneity within and between families. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Stochastic systems

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Business process modeling extension and scheduling strategy compatible with big data business

Business process modeling extension and scheduling strategy ...

引用

control, Electronics and Computer Technology (ICCECT), IEEE International conference on

作者： Jindong Xu Minghao Qi Cloud Computing Research Center North China University of Technology Beijing China

Business process Management (BPM) is the factual criteria for business process modeling. Although it is widely used in various fields, when required When using business processes to express big data business processes, the existing business process specifications do not support it. Big data business can only be simulated as multiple manual tasks before execution, which is not friendly to non-big data technology practitioners, and will The non-standardized business process and poor reusability lead to a reduction in the efficiency of business completion. On the other hand, while supporting big data technology brings flexibility to BPM, it consumes a lot of process engine resources when executing big data business processes, and the execution efficiency is low, which brings greater burden to the process engine. Aiming at the above deficiencies, this paper carries out the following work: (1) Extend the existing business process modeling, and define a new category of " Big data Service Task" by extending the activity elements in BPMN2.0 (2) Propose a compatible big data technology The task scheduling strategy in the business process includes a single big data task scheduling decision and an intensive big data task scheduling decision.

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analysis and optimization of filling strategies for high-pressure hydrogen storage cylinders 9

Analysis and optimization of filling strategies for high-pre...

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9th International conference on Energy Materials and Electrical Engineering, ICEMEE 2023

作者： Wang, Xueren Deng, Jiajia Xue, Dawen Xu, Lin School of Naval Architecture and Maritime Zhejiang Ocean University Zhou Shan316022 China Guangxi Electrical Polytechnic Institute Nanning530007 China School of Petrochemical Engineering and Environment Zhejiang Ocean University Zhoushan316022 China

ISBN: (纸本)9781510672765

A two-dimensional (2D) axisymmetric model is used to simulate the process of filling of hydrogen storage tanks with an operational pressure of 35MPa and 150L to attempt to increase the filling efficiency of the tanks and assure the safe application of the tanks. During the filling process of a high-pressure hydrogen storage tanks, the maximum temperature rise is located in the bottom region of the cylinder. In order to effectively control the maximum temperature, rise and the rate of pressure rise inside the cylinder, two filling strategies are proposed, i.e., static or venting, to achieve the highest possible filling rate without exceeding the maximum temperature and pressure limits. The results show that the maximum temperature rise, and the pressure rise rate inside the gas cylinder can be effectively controlled by using the method of static or venting. Moreover, the filling rates of the two filling strategies were increased by 21.83% and 21.84%, respectively, compared with the single filling method. This study provides theoretical basis and technical support for the formation of efficient and safe filling technology for high-pressure hydrogen storage cylinders and improvement of filling efficiency. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Hydrogen Composites Temperature metrology Numerical simulations Hydrogen energy Mathematical modeling

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Comparison of Naïve Bayes and Random Forest on Sentiment analysis of Brand Reputation Provider Live. On 18

Comparison of Naïve Bayes and Random Forest on Sentiment An...

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18th International conference on Telecommunication Systems, Services, and Applications, TSSA 2024

作者： Asvia, Siva Nurul Rahmatulloh, Alam Mubarok, Husni Setiawan, Audita Kusumastuti, Dyah Cahyati, Witri Universitas Siliwangi Department of Informatics Tasikmalaya Indonesia Universitas Sangga Buana Bandung Indonesia

ISBN: (纸本)9798331527686

Internet users in Indonesia continue to increase yearly, reaching 215.63 million people in 2022. However, many internet users in Indonesia complain about the services provided by internet service providers. This complaint arises because the service provider does not provide full control over the use of data services and the distribution of quotas that are not appropriate. To solve this problem, Live. On is here as a new digital service provider to improve the user experience. To evaluate the success of Live. On, a sentiment analysis was carried out through the Google Play platform to see user feedback regarding the services provided. In this study, data was collected through a data scraping process on Google Play. Furthermore, the data were analyzed using the Naïve Bayes and Random Forest classification methods. The Net Reputation Score (NRS) calculation is used to measure the level of user satisfaction. The comparison results show that when the SMOTE technique is not used, Random Forest performs better than Naïve Bayes. Random Forest has 80.37% accuracy, 61% precision, 58% recall, and 57% f1-score, while Naïve Bayes has 80% accuracy, 54% precision, 58% recall, and 56% f1-score. When the SMOTE technique is applied, Random Forest still performs better with 78% accuracy, 79% precision, 78% recall, and 78% f1-score, while Naïve Bayes has the same performance on all metrics with 73%. In addition, based on NRS calculations using Naïve Bayes prediction results, Live. On provider reputation has a value of -33.08%, while using Random Forest prediction results, its reputation reaches -41.08%. Both reputation scores are below average, so Live. On is considered to have a poor reputation. Therefore, Live. On needs to fix complaints felt by users to improve its reputation. © 2024 IEEE.

关键词： Sentiment analysis

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Digital Twin modeling and Flow Field Characteristics analysis of Multi-Stage Pressure Reducing Regulating Valve Core 9

Digital Twin Modeling and Flow Field Characteristics Analysi...

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9th International conference on Fluid Power and Mechatronics, FPM 2023

作者： Ji, Xiu-Kun Wu, Xin-Yu Yang, Yu-Xing School of Ship and Ocean Engineering Dalian Maritime University Dalian116026 China Marine Engineering College Dalian Maritime University Dalian116026 China

ISBN: (数字)9798350304947

ISBN: (纸本)9798350304947

Aiming at the problem of lacking effective means to detect and evaluate the internal state of spatial ant-hole type aerodynamic and thermal engineering multi-stage pressure reduction control valves, a digital twin model of the multi-stage pressure reduction control valve was constructed and used to analyze the flow field distribution characteristics inside the valve core. Based on the testing results of inlet and outlet pressures of the multi-stage pressure reduction control valve, a computational fluid dynamics simulation model was established to obtain flow field pressure distribution of the valve core;then dimensionality of the simulation data was reduced by using the improved K-nearest neighbors algorithm, and a proxy model of the flow field pressure distribution and valve core stress distribution was established by the trained radial basis function neural network;finally, the digital twin model of the multi-stage pressure reduction control valve core was established based on real-time measuring data. The proposed digital twin model was utilized to analyze the flow field pressure distribution of the spatial ant-hole type multi-stage pressure reduction control valve under different inlet and outlet pressure conditions. It was found that maximum relative error of flow field pressures and velocity between the predicted result and the testing result is about 8.08% and 12.06%, which validated the effectiveness of the proposed digital twin model. The proposed method provides a visualization approach for on-site detecting and evaluating the real-time internal state of the multi-stage pressure reduction control valve. © 2023 IEEE.

关键词： Flow fields

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Design of Enterprise Economic data Secure Storage System Based on Fuzzy Association Algorithm

Design of Enterprise Economic Data Secure Storage System Bas...

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2023 International conference on Evolutionary Algorithms and Soft Computing Techniques, EASCT 2023

作者： Gan, Xuemeng Southwest Jiaotong University School of Economics and Management Chengdu China

ISBN: (纸本)9798350313413

This study investigates the utilization of fuzzy association rule algorithms for the secure storage of enterprise economic data. The study applies the concept of fuzzy partitioning to the mining of industrial production process control datasets. Through fuzzy clustering, numerical data with continuous, high-dimensional, and strong real-time characteristics are partitioned into several fuzzy subsets, thereby facilitating the discovery of fuzzy association rules that align more closely with conventional thinking. The study concludes by emphasizing the significance of data as a core asset for enterprises and the role of storage systems as the last line of defense for data security protection. As informatization develops, enterprises are storing increasing amounts of data in computer storage systems. The study proposes the use of fuzzy association rule algorithms to assist in the analysis of fault information, thereby enabling equipment maintenance personnel to quickly identify the causes of equipment failures and promptly maintain faulty equipment. © 2023 IEEE.

关键词： data mining enterprise economic data fuzzy association rule algorithms fuzzy set theory information technology

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Digital Twinning in Additive Manufacturing - Closing the Digital-Physical-Digital Loop by Automated Integration of Captured Geometric data into Fabrication Information Models 19th

Digital Twinning in Additive Manufacturing - Closing the Dig...

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19th International conference on Computing in Civil and Building Engineering, ICCCBE 2022

作者： Slepicka, Martin Mawas, Karam Borrmann, André Maboudi, Mehdi Gerke, Markus Chair of Computational Modeling and Simulation Technical University of Munich Munich80333 Germany Institute of Geodesy and Photogrammetry Technische Universitaet Braunschweig Braunschweig38106 Germany

ISBN: (纸本)9783031353987

As part of the digitization of the AEC industry, the Digital Twin concept is becoming increasingly important. Originating in the manufacturing industry, the concept at its core involves a bidirectional coupling of the physical product and its digital counterpart with the aim of keeping the two in sync. Without appropriate capabilities to realize such synchronization, the concept always remained as an unattainable vision for the AEC industry. Adapting additive manufacturing (AM) for construction, however, creates unique opportunities to realize this vision by enabling automation in both directions, from digital to physical product and vice versa. As a fully automatable manufacturing method where robotic processes are typically controlled by the digital representation of the product, AM realizes the digital-to-physical link for this purpose. Conversely, based on the same digital representation of the product, the acquisition of the physical implementation of the manufacturing process can be automated, enabling the physical-to-digital connection. This paper uses three AM application scenarios to illustrate, on the one hand, the need for automating quality control and, on the other hand, to describe approaches for its realization. In particular, the benefits of synergy between automated quality control (QC) and fabrication information modeling (FIM) to form a digital-physical-digital loop are explored. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Fabrication

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Automation of data center airflow and heat transfer analysis for transient scenario 24

Automation of data center airflow and heat transfer analysis...

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Proceedings of the 15th ACM International conference on Future and Sustainable Energy Systems

作者： Wojciech Szeliga Ariel Oleksiak Robert Roszak Poznan Supercomputing and Networking Center Poland and Poznan University of Technology Poland Poznan Supercomputing and Networking Center Poland Poznan University of Technology Poland

ISBN: (纸本)9798400704802

The global share of energy consumption by data centers has reached the level of several percent and continues to rise. For this reason, ensuring optimal energy efficiency of the cooling process in data centers is an essential matter. As most data centers are air-cooled, it is required to investigate an airflow pattern inside as well as the accompanying heat transfer phenomena to assess the efficiency of the cooling process of the object. What is more, the thermal state of a server room as well as its power consumption often has a transient nature not only due to turbulent airflow inside but also because of dynamically changing servers’ load and time-varying output conditions of the coolers as a consequence of their control algorithms. That is why it is necessary to use transient modeling to get a deep and complete insight into the nature of the airflow and heat transfer phenomena in a server room and the resulting energy usage. A technique which allows modeling of the airflow and heat transfer in a detailed, volumetric way is computational fluid dynamics (CFD). Unfortunately, employing CFD for complex models especially in a transient manner can become a tedious process for an engineer and a challenging task for computational resources. In this paper we present a framework which is designed for automatic numerical heat transfer analysis of data center objects, using in the backend OpenFOAM, a well-known open-source CFD toolkit. Besides the automation process, the presented framework includes the implementation of transient models of active server room equipment and modeling of their energy usage as well as support for using high performance computing (HPC) systems equipped with SLURM queuing system. The software description is followed by a presentation of its application for a study of a hypothetical server room. A transient scenario of rapid application of servers’ load is simulated, including an energy consumption analysis of cooling devices.

关键词： CFD data Center OpenFOAM automation cooling efficiency heat transfer

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Interplay of Attacker Behaviors and Dependability Attributes in Industrial control System Impact analysis

Interplay of Attacker Behaviors and Dependability Attributes...

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International conference on Dependable Systems and Their Applications (DSA)

作者： Alvi Jawad Jason Jaskolka Systems and Computer Engineering Carleton University Ottawa Canada

ISBN: (数字)9798331532390

ISBN: (纸本)9798331532406

Industrial control systems (ICS) are increasingly vulnerable to cyberattacks that can propagate to impact physical industrial processes. Existing research on ICS impact analysis views ICS dependability attributes as an afterthought and focuses primarily on attacks but not the attackers and their different behaviors. In this work, we include explicit considerations for ICS dependability attributes and attacker behaviors in ICS impact analysis. By adopting the Structured Cyberattack Impact analysis (SCIA) approach, our model-based impact analysis is demonstrated on a manufacturing ICS modeled in UPPAAL-SMC. More specifically, we visualize and quantify, respectively, using simulations and statistical model checking, the potential impact of data tampering attacks when performed by attackers with different behaviors (random, relentless, and informed). Furthermore, the impact analysis results highlight the interplay of ICS dependability attributes in terms of (1) how attacks on ICS security can impact system reliability and availability, (2) how improving security can improve system availability and reliability, and (3) how accepting some sacrifices on one attribute (availability) can end up improving other attributes (security and reliability).

关键词： Analytical models process control data visualization Model checking data models Manufacturing Security Reliability Computer crime Integrated circuit modeling

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