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2019 International conference on Sensing, diagnostics, Prognostics, and control, SDPC 2019

作者： Hu, Xiao Jia, Shengwei Gu, Changchao Xue, Weikang Cui, Weiwei Zhang, Leigang China Academy of Launch Vehicle Technology Beijing China

ISBN: (纸本)9781728101996

The inner collection between process reliability and stable process of space product is analyzed, and the model of controlling-detecting process parameters is built by multiple linear regression technology. Then the extremum and mean value of multivariable controlling parameters' expected value, which meet the requirement of process detecting parameters' stability, are used to predict each mean response and new response, and also prediction ellipsoid and joint confidence intervals of detecting parameters are obtained. Furthermore, three optimization problems based on genetic algorithm, which focused on controlling parameters' fluctuation interval, are studied. Finally, taking the coating process of space product ferrite phase shifter as an example, the method is analyzed and verified. Therefore, the significant guarantee is provided for improving space products' quality. © 2019 IEEE.

关键词： Multiple linear regression

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process control with IIoT Capabilities of the Hollow Cathode Plasma Nitriding 20

Process Control with IIoT Capabilities of the Hollow Cathode...

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20th International Carpathian control conference (ICCC)

作者： Kutasi, Denes Nimrod Sapientia Hungarian Univ Transylvania Dept Elect Engn Targu Mures Romania

ISBN: (纸本)9781728107011

This paper deals with the design and implementation of the process control software for the hollow cathode plasma nitriding system. An integrated monitoring, control and IIoT (Industrial Internet of Things) capable system was designed to fulfill the requirements of a modern industrial control system. Besides the new control tasks imposed by the hollow cathode plasma nitriding, the integration of the plasma diagnostics and the Ethernet based monitoring system was added to the process control system, thus online monitoring, remote access, data storing in cloud was developed. The paper is dedicated to the monitoring, data logging and remote control of the system, the controller design is not the current subject.

关键词： plasma nitriding hollow cathode process control IIoT

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笃志创新躬行致远:世界卫生组织《2023年全球结核病报告》结核病科学研究章节解读

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中国防痨杂志 2024年第6期46卷 613-617页

作者：舒薇刘宇红首都医科大学附属北京胸科医院/北京市结核病胸部肿瘤研究所/中国疾病预防控制中心结核病防治临床中心北京101149

结核病领域创新性的研究与发展是终止结核病策略三大支柱之一,新技术和新策略是加速消除结核病进程的重要工具。2023年11月7日,世界卫生组织发布了《2023年全球结核病报告》,对全球结核病的流行情况,以及全球、区域和国家各级在预防、... 详细信息

结核病领域创新性的研究与发展是终止结核病策略三大支柱之一,新技术和新策略是加速消除结核病进程的重要工具。2023年11月7日,世界卫生组织发布了《2023年全球结核病报告》,对全球结核病的流行情况,以及全球、区域和国家各级在预防、诊断和治疗结核病方面取得的进展进行更新。笔者就报告中结核病研究领域新诊断技术、新药与新方案及新疫苗等的研究及创新要点进行综述,并结合我国相关领域的研究进展进行分析,以期为我国结核病防治领域同行掌握结核病研究动态,进一步开展原创性研究和技术提供参考。

关键词：结核研究总结性报告

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Altitude Back-stepping control of Quadcopter 3

Altitude Back-stepping Control of Quadcopter

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3rd International conference on Applied Automation and Industrial diagnostics (ICAAID)

作者： Loubar, Hocine Boushaki, Razika Zammoum Aribi, Yacine Abdellah, Kouzou Mhamed Bougara Univ Boumerdes UMBB Signals & Syst Lab Inst Elect & Elect Engn Ave Independance Boumerdes Algeria Djelfa Univ Fac Sci & Technol Djelfa Algeria

ISBN: (纸本)9781728128740

This work deals with the study of the stabilization process of a nonlinear control system taking a certain model and derive state space equations through implementation of kinetic and dynamic equations where we present a challenging tool known as backstepping controllers based on Energy functions concept as presented by the famous Russian mathematician Lyaponuv. Simulation of the obtained results is done with Simulink.

关键词： nonlinear control Back-stepping Altitude control Lyapunov Quadcopter

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How the Imperfect E-diagnostics Impacts the Capacity Planning and Pricing Decisions of a Maintenance Service Provider 11

How the Imperfect E-diagnostics Impacts the Capacity Plannin...

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11th CIRP conference on Industrial Product-Service Systems

作者： Sun, Mingyao Wu, Feng Xi An Jiao Tong Univ Sch Management Minist Educ Proc Control & Efficiency Engn Key Lab Xian 710000 Peoples R China

Providing online monitoring (E-diagnostics) has become a value-added practice for equipment maintenance service providers to improve the service quality and efficiency. However, the E-diagnostics is always imperfect, whose accuracy depends on how much components of the equipment are monitored (namely, E-diagnostics depth in our research). This research analyzes the optimal capacity planning and pricing problem by taking into account the imperfect E-diagnostics. In addition, we consider the E-diagnostics accelerate effect to the service process and attempt to find how the effect influences the service provider's decisions. Our results reveal that the optimal pricing and capacity planning decisions are dependent on customers' failure cost and service provider's compensation cost. Specifically, if customers' failure cost is larger than service provider's compensation, the service provider would improve the price as the E-diagnostics depth increases;otherwise, the price should be lowered as the E-diagnostics depth increases. In addition, we find as the accelerate effect becomes increasingly obvious, customers' expected waiting time increases but the service price decreases. (C) 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 11th CIRP conference on Industrial Product-Service Systems

关键词： Imperfect E-diagnostics capacity planning pricing E-diagnostics depth accelerate effect

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Detection of Optical Fiber Segments with Mechanical Stress in Optical Cables Using Brillouin Reflectometers

Detection of Optical Fiber Segments with Mechanical Stress i...

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International Siberian conference on control and Communications (SIBCON)

作者： Bogachkov, Igor V. Trukhina, Anastasia I. Gorlov, Nicolay I. Omsk State Tech Univ Omsk Russia Siberian State Univ Telecommun & Comp Sci Novosibirsk Russia

ISBN: (纸本)9781538651421

Investigation results of the strain in stressed optical fiber and optical cable in various processes of production using Brillouin optical time-domain reflectometers are described in this article. The investigation results are confirmed the advantage of a Brillouin reflectometry method for early diagnostics and detection of local segments with mechanical stress in optical fibers. The phase shift method is effectively used to find the total optical fiber elongation. It is recommended to include the Brillouin reflectometer in the control systems of the optical fiber characteristics to detect fiber sections with high mechanical stress and temperature changes. This will make it possible to identify the potentially harmful segments in the optical cable at various stages of the cable production and improve the technologies used in the production process.

关键词： optical fiber strain optical cable early diagnostics Brillouin optical time-domain reflectometer

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Reciprocating compressor prognostics of an instantaneous failure mode utilising temperature only measurements

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APPLIED ACOUSTICS 2019年 147卷 77-86页

作者： Loukopoulos, Panagiotis Zolkiewski, George Bennett, Ian Sampath, Suresh Pilidis, Pericles Duan, Fang Sattar, Tariq Mba, David Cranfield Univ Sch Aerosp Transport & Mfg Cranfield Beds England Shell Global Solut Royal Dutch Shell Rijswijk Netherlands London South Bank Univ Sch Engn London England De Montfort Univ Fac Technol Leicester Leics England

Reciprocating compressors are critical components in the oil and gas sector, though their maintenance cost is known to be relatively high. Compressor valves are the weakest component, being the most frequent failure mode, accounting for almost half the maintenance cost. One of the major targets in industry is minimisation of downtime and cost, while maximising availability and safety of a machine, with maintenance considered a key aspect in achieving this objective. The concept of Condition Based Maintenance and Prognostics and Health Management (CBM/PHM) which is founded on the diagnostics and prognostics principles, is a step towards this direction as it offers a proactive means for scheduling maintenance. Despite the fact that diagnostics is an established area for reciprocating compressors, to date there is limited information in the open literature regarding prognostics, especially given the nature of failures can be instantaneous. This work presents an analysis of prognostic performance of several methods (multiple linear regression, polynomial regression, K-Nearest Neighbours Regression (KNNR)), in relation to their accuracy and variability, using actual temperature only valve failure data, an instantaneous failure mode, from an operating industrial compressor. Furthermore, a variation for Remaining Useful Life (RUL) estimation based on KNNR, along with an ensemble technique merging the results of all aforementioned methods are proposed. Prior to analysis, principal components analysis and statistical process control were employed to create T-2 and Q metrics, which were proposed to be used as health indicators reflecting degradation process of the valve failure mode and are proposed to be used for direct RUL estimation for the first time. Results demonstrated that even when RUL is relatively short due to instantaneous nature of failure mode, it is feasible to perform good RUL estimates using the proposed techniques.

关键词： Reciprocating compressor Valve Prognostics Remaining useful life Multiple linear regression Polynomial regression K-nearest neighbours Instantaneous failure Principal components analysis Statistical process control

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FAILURE DETECTION AND REMAINING LIFE ESTIMATION FOR ION MILL ETCHING process THROUGH DEEP-LEARNING BASED MULTIMODAL DATA FUSION 14

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14th ASME International Manufacturing Science and Engineering conference

作者： He, Anqi Jin, Xiaoning Northeastern Univ Dept Mech & Ind Engn Boston MA 02115 USA

ISBN: (纸本)9780791858745

Ion Mill Etching (IME) is an advanced process technology that uses ion-beam sources to remove materials by atomic sandblasting in order to reveal a specific pattern on the substrate. The high precision capability requires stringent process monitoring and control of the flowcool system which is critical to prevent thermal deformation for temperature sensitive materials from the heat generated from the ion beam irradiation. This study focuses on a multi-sensor data analytics to monitoring the IME process condition enabling diagnostics and prediction of three main failure mechanisms of the IME flowcool system. A generalizable framework of engineering-based data-driven failure diagnostics and prediction is developed using random forest-based classification and a Deep Long Short-Term Memory (LSTM)-based failure prediction. The proposed framework and methods are demonstrated and validated in an ion mill etching process using multi-sensor data collected from multiple run-to failure cycles. Three different failure modes related to the flowcool system are detected, identified in real time and the time to the next failure is accurately predicted. The proposed method provides a systematic and generalizable approach for process monitoring and early prediction of failures by using heterogeneous sensor measurements and operational data when under various operating conditions and settings.

关键词： Ion mill etching multi-sensor fusion diagnostics remaining useful life prediction classification deep learning

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Using Network Traces to Generate Models for Automatic Network Application Protocols diagnostics 16

Using Network Traces to Generate Models for Automatic Networ...

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16th International Joint conference on E-Business and Telecommunications (ICETE)

作者： Holkovic, Martin Rysavy, Ondrej Polcak, Libor CESNET Ale Zikova 1903-4 Prague 16000 Czech Republic Brno Univ Technol Fac Informat Technol Bozetechova 1-2 Brno 61266 Czech Republic

ISBN: (纸本)9789897583780

Network diagnostics is a time-consuming activity that requires an administrator with good knowledge of network principles and technologies. Even if some network errors have been resolved in the past, the administrator must spend considerable time removing these errors when they reoccur. This article presents an automated tool to learn the expected behavior of network protocols and possible variations. The created model can be used to automate the diagnostic process. The model presents a finite automaton containing protocol behavior for different situations. diagnostics of unknown communication is performed by checking the created model and searching for error states and their descriptions. We have also created a proof-of-concept tool that demonstrates the practical potential of this approach.

关键词： Network diagnostics Automatic diagnostics Protocol Model from Traces

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Towards Basic Design Principles of Next Generation Human-Operator Decision Support Systems

Towards Basic Design Principles of Next Generation Human-Ope...

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International conference on control, Decision and Information Technologies (CoDIT)

作者： Elena Ph. Jharko Kirill R. Chernyshov V.A. Trapeznikov Institute of Control Sciences Moscow Russia

ISBN: (数字)9781728159539

ISBN: (纸本)9781728159546

Providing of insight into an approach to creation of information human-operator decision support systems (IHODSS) for complex process plants as exemplified by nuclear power unit control. IHODSS functional basis is determined by accomplishing the following tasks essentially forming a triune task: prediction of power unit parameters behavior and process progress aspects, in-mode diagnostics, and early in-process recognition of anomalies; generation of recommendations on optimal process conditions. An overview of basic principles of development and function of IHODSS, software and hardware selection, as well as characterization of software and hardware suite for IHODSS tasks refinement are presented..

关键词： control systems Task analysis process control Reliability Personnel Trajectory Mathematical model

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