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30th International conference on Mechatronics and Machine Vision in Practice, M2VIP 2024

作者： Gao, Wenke Zhang, Lei Zhang, Wei Chen, Zhaohan Zhang, Xin Zhang, Jingzhe Shenzhen Technology University SINO-German College of Intelligent Manufacturing Shenzhen518118 China Xuzhou University of Technology School of Mechanical and Electrical Engineering Xuzhou221018 China Shenzhen Technology University College of Big Data and Internet Shenzhen518118 China Lanzhou University of Technology School of Energy and Power Engineering Lanzhou730050 China

ISBN: (纸本)9798350391916

The performance degradation of some key components is unavoidable in some electromechanical systems. To improve the system reliability and running quality, this work proposes a compensation control strategy for the key component according to the principle of the similarity between mechanical and other system, such as electrical systems. It is assumed that the degradation process of the key component follows Wiener process, and the explicit expression of the degradation model for the compensated system is an Ito process and obtained based on the model assumptions. According to the analysis results of the degradation model and numerical example, the proposed control strategy enables the key component to remain an output close to that of the new component before failure, and the gap between the new and compensated component is closely related to the parameters of the feedback loop. The results theoretically analyze the running principle of the compensation control strategy and provide theoretical support for further research on the reliability and maintenance modeling. © 2024 IEEE.

关键词： compensation control strategy Ito process Performance degradation steady-state value

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Enhancing trusted computing operation efficiency based on parallel file verification techniques 4

Enhancing trusted computing operation efficiency based on pa...

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4th International conference on Network Communication and Information Security, ICNCIS 2024

作者： Zhang, Zhilong Pan, Fengyan Hou, Haibo Li, Yuan Shanghai Jiaotong University Shanghai China Beijing Chenguang Rongxin Technology Co. Beijing China

ISBN: (数字)9781510688261

ISBN: (纸本)9781510688254

Trusted Computing technology represents a significant element of cyber security systems, serving to guarantee the integrity and accessibility of data and systems. The incorporation of Trusted Computing introduces a series of security detection and verification mechanisms to the host system, consequently impacting the performance of host system startup and application operation. In this paper, following an analysis of the verification mechanisms of Trusted Computing, a parallel verification mechanism is proposed. The objective is to facilitate the parallel operation of the host system program and the TPM-based file verification process, thereby enhancing the operational efficiency of the trusted computing system. Through the configurable and micro-intervention design scheme, flexible expansion and configuration within the existing Trusted Computing technology framework can be achieved. © 2025 SPIE.

关键词： Computing systems Design Computer security process control Systems modeling Mathematical optimization Operating systems

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Anomaly Detection in Hot Forming processes using Hybrid modeling - Part ii 27

Anomaly Detection in Hot Forming Processes using Hybrid Mode...

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IEEE 27th International conference on Emerging Technologies and Factory Automation (ETFA)

作者： Lenz, Cederic Hanke, Fabian Henke, Christian Traechtler, Ansgar Fraunhofer Inst Mechatron Syst Design Paderborn Germany

ISBN: (数字)9781665499965

ISBN: (纸本)9781665499965

Hot forming is a widely used manufacturing process of crash-relevant structural components with complex geometries. In this paper a previously presented method of anomaly detection is further optimized allowing more data sources to be used in the outlier evaluation process. The method is based on a hybrid model consisting of a physical first-principles model of the hot forming press and a neural network in series. It allows a wide range of sensor data to be considered while keeping the anomaly detection process physically explainable.

关键词： anomaly detection quality control hot forming press hardening hybrid modeling

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Design of a data Warehouse for a Dynamic Greenhouse control System 20

Design of a Data Warehouse for a Dynamic Greenhouse Control ...

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20th International Scientific conference "Dynamical System modeling and Stability Investigation", DSMSI 2023 - Volume 1: Mathematical Foundations of Information Technologies

作者： Kiktev, Nikolay Lendiel, Maryna Lendiel, Taras National University of Life and Environmental Sciences of Ukraine Heroiv Oborony str. Kyiv03041 Ukraine Taras Shevchenko National University of Kyiv 64/13 Volodymyrs'ka str. Kyiv01601 Ukraine

In the process of developing the system, the system was modeled using the time series algorithm and the structure of the dynamic database was developed. data input, storage and analysis modules were developed. During the analysis, the application of OLAP and data Mining technologies was proposed for intellectual analysis of large volumes of information. The obtained results of the system can be used in the process of forming management decisions of the greenhouse economy. This will allow you to direct the strategy for managing individual business processes in such a way as to increase the yield in greenhouses and, accordingly, the profitability of the farm in general. © 2023 Copyright for this paper by its authors.

关键词： data mining

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Comparative study about the effect of lower-level controller model to the merging of CAVs system 7

Comparative study about the effect of lower-level controller...

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7th IFAC conference on Engine and Powertrain control, Simulation and modeling (E-COSM)

作者： Liu, Huaqing Ge, Hongxia Ningbo Univ Technol Sch Civil & Transportat Engn Ningbo 315211 Peoples R China Zhejiang Engn Res Ctr Digital Rd Construct Techno Ningbo 315211 Peoples R China Ningbo Univ Technol Sch Stat & Data Sci Ningbo 315211 Peoples R China

The hierarchical modeling framework is widely used in designing the longitudinal control of connected autonomous vehicles (CAVs). To describe the throttle/brake maneuvers, the lower-level controller is constructed and modeled. Meanwhile, it leads to a problem that how CAV traffic flow evolve with different lower-level controller. In this paper, two typical lower-level controller models are introduced and compared. One is the first-order lag model which is widely used in theoretical analysis and the other one is a second-order response model with delay and feedback control, which is identified from field test data in our previous work. The result of stability analysis exhibits a smaller string stable region under second-order response model with delay. Moreover, the throughput at a lane drop on two lane highways is also lower than first-order lag model. In spatiotemporal diagram, phase transition markedly differs among two CAV systems. Under second-order response model with delay and feedback control, it shows a characteristic of 'Three-stage' phase transition. First-order lag model, widely used in theoretical analysis, does not accurately describe the acceleration and deceleration of actual CAVs. It usually overestimates the executive process of the vehicle's mechanical structure. Some conclusion based on the first-order lag model may not match the actual traffic. This comparative paper is hoped to draw more attention about the differences caused by lower-level controller model, especially in some typical traffic scenarios. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Connected automated vehicle Traffic merging Lower-level controller Stability analysis Phase transition

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Fuzzy control of electric vehicle compound braking system based on multi-objective optimization NSGA-ii algorithm

Fuzzy control of electric vehicle compound braking system ba...

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2024 International conference on Computer Application and Information Security, ICCAIS 2024

作者： Wang, Xiaokan Li, Bo Wang, Qiong Chen, Jian Henan Mechanical & Electrical Vocational College Henan Xinzheng451191 China

ISBN: (纸本)9781510689312

In order to improve the braking effect of electric vehicles, multi-objective optimization, and fuzzy control decision-making are used to distribute the braking torque. The Pareto solution set is constructed by multi-objective optimization to distribute the compound braking torque. After determining the optimal solution of the Pareto solution set, the optimal output result is obtained through the ideal solution, and the data is transmitted to the motor and braking structure, so as to ensure that the torque distribution mode meets the actual braking requirements. The results show that adding vehicle braking factors in the decision analysis stage can fully meet the requirements of torque distribution, and realize the transformation from a multi-objective optimization process to a single objective analysis process of optimizing braking stability. Through the simulation test, the control strategy can achieve a higher recovery rate of braking energy, promote the obvious improvement of braking recovery ability under the condition of low-intensity braking, obtain better performance than the single fuzzy control strategy, and achieve the expected braking force distribution effect. © The Authors.

关键词： Multiobjective optimization

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Research on Fault Diagnosis modeling Methods Driven by Route QAR data

Research on Fault Diagnosis Modeling Methods Driven by Route...

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2024 IEEE International conference on Sensing, Diagnostics, Prognostics, and control, SDPC 2024

作者： Fang, Yinlong Jin, Feng Yang, Nan Yang, Lu Zhang, Guigang Wang, Jian Beijing Institute of Technology Beijing China Institute of Automation Chinese Academy of Sciences Beijing China Shanghai Aircraft Customer Service Co. Ltd. Shanghai China

ISBN: (纸本)9798350388855

Diagnosing flight route faults based on QAR data is crucial for preventing flight accidents and reducing maintenance costs. This paper presents a method for diagnosing flight route faults using a Long Short-Term Memory Network and Decision tree algorithm (LSTM-DT). We used feature optimization algorithms to process the original QAR data, including rolling window operation and principal component analysis. The optimized features were then used to establish an LSTM anomaly detection model to identify abnormal points of the faulty route. We established a decision tree fault diagnosis model using these detected outliers to determine the corresponding fault types. When tested with real airline data, the fault diagnosis accuracy of this method reached 99.45%, confirming its effectiveness. © 2024 IEEE.

关键词： Aircraft accidents

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Investigation of Metal-H2O Systems at Elevated Temperatures: Part I. Development of a Solubility Apparatus Specialized for Super-Ambient Conditions

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JOURNAL OF NUCLEAR ENGINEERING AND RADIATION SCIENCE 2025年第2期11卷 021601页

作者： Palazhchenko, Olga Y. Kaye, Matthew H. Univ New Brunswick Dept Chem Engn Fredericton NB E3B 5A3 Canada Univ Ontario Dept Energy & Nucl Engn Inst Technol Oshawa ON L1G 0C5 Canada

Metals used in aqueous environments where high temperatures and pressures are present are susceptible to corrosion. This is the case for nuclear power plants, especially CANDU (TM) reactors, where the liquid water systems can reach over 300 degrees C at pressures well above 101.325 kPa (1 atm). In such situations, failure to control corrosion has economic and safety consequences. To extend corrosion modeling tools, such as Pourbaix diagrams, to harsh aqueous conditions, there is a need for experimental thermochemical data performed at elevated temperatures. This is particularly true for metal and alloy systems where such information is unavailable or unreliable. A relatively simple approach to obtaining temperature dependent thermodynamic properties is the investigation of solid-liquid phase, or solubility, equilibria. However, this requires specially designed instrumentation that can withstand harsh temperatures and extreme pH conditions, while providing accurate data. In this work, an apparatus developed for super-ambient highly acidic and alkaline solubility experiments is presented. Solubility measurements were made in the zinc oxide system, which has been extensively studied. Using these equilibrium data and comparing to the literature, allowed the instrumentation and analysis process to be validated. In situ pH measurements using a constant volume, batch reactor system are described along with a brief presentation of the ZnO dissolution equilibria results at 85 degrees C (358.15 K).

关键词： aqueous chemistry Pourbaix diagrams measuring pH Zn species

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Effect of Ultrasound Technique for Production of Biodiesel Using Enzyme as Catalyst: A Mathematical Study 2nd

Effect of Ultrasound Technique for Production of Biodiese...

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2nd International conference on Mathematical analysis and Applications in modeling, ICMAAM 2023

作者： Ahammed, Sk Mosaraf Roy, Priti Kumar Wang, Shu Department of Mathematics Jadavpur University Kolkata700032 India School of Mathematics Statistics and Mechanics Beijing University of Technology Pngleyuan 100 Chaoyang District Beijing100124 China

ISBN: (纸本)9789819791934

As fossil fuels decline on a global scale, there is a rising interest in developing a cost-effective process for producing biodiesel from renewable sources, like Jatropha curcas plant. Enzymatic transesterification of Jatropha oil with alcohol is an effective technique to produce biodiesel. Due to mass transfer limitation between Jatropha oil and alcohol, the reaction is very slow. To overcome this we have used ultrasound frequency for excessive production of biodiesel. This article examines the impact of ultrasound frequency on the enzymatic transesterification of Jatropha oil through a mathematical model. Optimal control theory through Pontryagin Minimum Principle is employed on ultrasound to optimize frequency and improve cost-effectiveness of the system. The model’s validity is confirmed through simulated results and comparison with experimental data from the literature. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： control theory

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process Monitoring for New Mode with Limited data in Multimode processes Based on Transfer Component analysis 41

Process Monitoring for New Mode with Limited Data in Multimo...

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第41届中国控制会议

作者： Qi Lei Shumei Zhang Qun Zong Jie Yuan School of Electrical and Information Engineering Tianjin University Electrical Design Research Department Design Institute of China Offshore Oil Engineering Corporation

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In order to satisfy different production needs,working modes are often adjusted in real industrial processes,which may lead to the emergence of new working modes with a small amount of modeling ***,most of the traditional process monitoring algorithm requires that there are sufficient data to establish the reliable *** address the above issue,a process monitoring algorithm is proposed in this work to transfer the common information from the known mode with sufficient modeling data to the new mode with limited data in multimode ***,a reference mode is selected by evaluating the similarity between new mode and the known ***,the common information is extracted and projected into a manifold subspace by using transfer component *** on the transfer features,two statistics,i.e.,T and SPE,are defined to analyze the process status and identify the *** effectiveness of the proposed method is verified by Tennessee Eastman（TE） process.

关键词： transfer learning limited data multimode processes process monitoring

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