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检索条件"任意字段=Conference on Process Control and Diagnostics"

共 1528 条记录，以下是11-20 订阅

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AN RF SIMULATOR FOR control SYSTEM DEVELOPMENT 32

AN RF SIMULATOR FOR CONTROL SYSTEM DEVELOPMENT

引用

32nd Linear Accelerator conference, LINAC 2024

作者： Henderson, M. Abell, D. Bruhwiler, D. Edelen, J.P. Einstein-Curtis, J. Diego, A. Agustsson, R. RadiaSoft LLC BoulderCO United States RadiaBeam Santa MonicaCA United States

ISBN: (纸本)9783954502196

Simulation tools are critical to the prototype and validation of control algorithms prior-to and during commissioning of LLRF systems. Moreover, for industrial systems, diagnostics that are available on test systems and in laboratory accelerators are not always available in the field. RadiaSoft has been developing an RF simulator suite that allows for rapid prototyping of control algorithms in a fully integrated epics environment. As part of this process, we have performed extensive testing and bench-marking using a novel C-band test cavity with a range of diagnostics. This poster provides an overview of the simulator, the physical models which make it up, and results for an example system with two cavities and other typical hardware elements. Content from this work may be used under the terms of the CC BY 4.0 licence (© 2024).

关键词： Photons

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Thermal evaluation of a laser microdrilling process for thin CFRP-laminates 13

Thermal evaluation of a laser microdrilling process for thin...

引用

conference on High-Power Laser Materials processing - Applications, diagnostics, and Systems XIII

作者： Staehr, R. Wippo, V. Jaeschke, P. Kaierle, S. Laser Zentrum Hannover eV Hollerithallee 8 D-30419 Hannover Germany Leibniz Univ Hannover Inst Transport & Automat Technol Univ 2 D-30823 Hannover Germany

ISBN: (纸本)9781510670174;9781510670167

The aviation market is rebounding post-COVID, driving the demand for lightweight materials to reduce fuel consumption and CO2 emissions. However, machining carbon fiber-reinforced plastic (CFRP) is challenging and costly. Microdrilling (<1 mm diameter) for acoustic linings, consisting of CFRP skins in a sandwich structure, is widely requested. Laser drilling offers advantages such as smaller hole diameters and wear-free machining. To scale up laser microdrilling, process efficiency and heat control are crucial. This study conducted a thermal evaluation using a short pulse laser and thermal camera. The temperature curves were evaluated taking into account results obtained from studies based on a layout using Design of Experiments.

关键词： Thermography drilling perforation CFRP sandwich composites laser aircraft

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Algorithm Development for Pneumatic Actuator control and diagnostics 11

Algorithm Development for Pneumatic Actuator Control and Dia...

引用

11th International Scientific conference on Computer Science, COMSCI 2023

作者： Petrov, Antoniy Taneva, Albena Technical University of Sofia Plovdiv Branch Control Systems Department Plovdiv Bulgaria

ISBN: (纸本)9798350325256

This paper presents the pneumatic control system widely used in manufacturing process. This is a technology that uses the power of compressed air to create mechanical motion. The purpose of this work is to improve existing manufacturing system with simple control of pneumatic actuators. To do this is necessary to extend the simple control with adding functions to collect data for diagnostics. Such data can be used for estimating remaining lifetime of a pneumatic cylinder during preventive maintenance or replacement. Challenge in front the solution is to be compatible with several of automation systems using PLCs and easy for multiplication in laboratory equipment and real manufacturing environment and assembly systems. © 2023 IEEE.

关键词： Pneumatic actuators

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Model Predictive Valve control for Lung Pressure Profile Tracking Assistance

Model Predictive Valve Control for Lung Pressure Profile Tra...

引用

IEEE conference on control Technology and Applications (CCTA)

作者： Thompson, M. C. Freeman, C. T. O'Brien, N. Hughes, A-M Marchbanks, R. Birch, A. Univ Southampton Elect & Comp Sci Southampton Hants England Univ Hosp Southampton Dept Med Phys Southampton Hants England Univ Southampton Sch Hlth Sci Southampton Hants England

ISBN: (纸本)9798350370959;9798350370942

Over 12,000 people in the UK are diagnosed with a brain tumour every year. Current diagnostic methods are expensive and typically invasive, meaning that early, widespread screening is not possible. This paper develops a control set-up that enables a new, low-cost, non invasive eardrum sensor to provide accurate intracranial pressure measurements, thereby facilitating more effective diagnosis. The controller works by assisting participants to accurately track airway pressure profiles via blowing into a tube. This has the effect of removing blood flow fluctuations that would otherwise corrupt the eardrum sensor readings used to compute intracranial pressure. A new experimental hardware set-up, identification process and model predictive control approach are developed to compute the optimal sequence of valve positions, and experimental results show a 21% improvement in pressure profile tracking compared with existing clinical methods.

关键词： model predictive control diagnostics intracranial pressure brain tumour airway pressure tracking

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Intelligent Support Systems for NPP Operators: Dynamic Modeling and Operational diagnostics

Intelligent Support Systems for NPP Operators: Dynamic Model...

引用

2023 International conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2023

作者： Jharko, Elena Chernyshov, Kirill V.A. Trapeznikov Institute of Control Sciences The Russian Academy of Sciences Laboratory of Distributed Information and Control Systems Moscow Russia V.A. Trapeznikov Institute of Control Sciences The Russian Academy of Sciences Laboratory of Identification of Control Systems Moscow Russia

ISBN: (纸本)9781665475952

The efficiency of human-machine interaction is highly dependent on the quality of information support that the power unit (PU) operators receive from the control system in different operating modes of NPP PU. The paper shows the importance of intelligent support systems (ISS) for NPP operators to ensure the reliable operation of the NPP power unit. The most significant elements of the ISS for operators in terms of the diagnostic system are the block of dynamic modeling, which anticipates the course of technological processes, and the expert system. The paper analyzes the state of the problem of creating dynamic modeling systems, singles out a "three-step"approach to creating the predictive models of a technological process, and shows its shortcomings. Relationships between dynamic modeling and operational diagnostics (OD) are presented. A group of standard diagnostic systems and classes of problems of the solvable problems of ODs are considered. The implementation of the solution to the problem of diagnosing in the intelligent support system of the NPP operator, as well as functional diagrams of operational diagnostics, is presented. The proposed implementation of the tasks of operational diagnostics is used to create intelligent support systems for NPP operators. © 2023 IEEE.

关键词： Expert systems

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Designing a Hardware-Software Complex of Servodrives Performance Analysis Using a Microcontroller

Designing a Hardware-Software Complex of Servodrives Perform...

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2024 conference of Young Researchers in Electrical and Electronic Engineering, ElCon 2024

作者： Kotkov, Egor D. Skreblo, Evgenii K. Saint Petersburg Electrotechnical University 'LETI' Saint Petersburg Russia

ISBN: (纸本)9798350360646

efficiency improvement of various stages of technological process is a complex and science-intensive task. This research has solved the problem of work automation of the technical control department of finished and incoming products. As part of this task: the market of technical devices for diagnostics of servodrives has been analysed, the parameters of the necessary device were determined, the housing and electronic circuit of the device were designed. The equipment has been assembled, the software of the device has been developed in C, bench tests of the developed device were carried out. © 2024 IEEE.

关键词： analysis communication channels control identification monitoring

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An IoT Learning Factory Demonstrator of Remote diagnostics Using Low-Cost Didactic Devices 14th

An IoT Learning Factory Demonstrator of Remote Diagnostics U...

引用

14th International conference on Learning Factories (CLF)

作者： Vojtko, Tadeas Vargova, Anna Gulan, Martin Juhas, Martin Slovak Univ Technol Bratislava Fac Mech Engn Inst Automat Informatizat & Measurement Namestie Slobody 17 Bratislava 81231 Slovakia

ISBN: (纸本)9783031653995;9783031654008

The rapid integration of Internet of Things (IoT) technologies into modern industries creates the need for engineers experienced in their use. This paper introduces the educational approach through the establishment of a learning factory demonstrator designed for courses on the basics of IoT technology by employing versatile and low-cost take-home laboratory devices from the AutomationShield open-source initiative. This demonstrator also leverages the new Arduino Uno Rev4 WiFi board, and a curriculum designed to equip students with comprehensive skills. Students learn how to use the MQTT protocol based on publish/subscribe messaging to establish connection between a device and a cloud server. The concept of diagnostics and control of mechatronic devices in IoT networks is also introduced to the students within dedicated courses, in order to meet the needs of the market by providing innovative solutions fulfilling the concept of Industry 4.0. The new Arduino UNO extension, a WiFi ESP32-S3 module can offer a completely wireless connection to the cloud server serving as the system's hub, allowing multiple devices to be controlled independently from a single spot and from any location. The course participant should gain experience in deploying a device in a smart factory, from connecting the device to the cloud server, gathering data from the device, designing a dashboard for data visualization and device control, to creating a simple algorithm to process the data into a basic remote diagnostics concept-all relying on open-source solutions. Essentially, this pedagogical initiative empowers students with hands-on experience in developing and deploying IoT solutions.

关键词： IoT remote diagnostics Arduino Node-RED MQTT

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Normative Aspects of Unification of Means of Ensuring Functional Reliability of Technological System 17

Normative Aspects of Unification of Means of Ensuring Functi...

引用

17th International conference on Management of Large-Scale System Development, MLSD 2024

作者： Yurkevich, Evgenij Kryukova, Lidia V.A. Trapeznikov Institute of Control Sciences of Ras Laboratory of Technical Diagnostics and Fault Tolerance Moscow Russia

ISBN: (纸本)9798350375718

A methodological approach to ensuring the reliability of the technological operations system in accordance with the norms determining of the functional blocks unification of proposed the production line. Taking into account the content of the labor process, as well as the peculiarities of functional blocks operation, the proposed approach consider as a basis for ensuring of profile standards the effectiveness in technological systems. © 2024 IEEE.

关键词： digital productions functional reliability information block SMART-documents technological system unification

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A data-driven approach to fault diagnostics for industrial process plants based on feature extraction and inferential statistics

A data-driven approach to fault diagnostics for industrial p...

引用

2023 International conference on control, Automation and Diagnosis, ICCAD 2023

作者： Smeraldo, Simone Busboom, Axel Bendisch, Stefan Hriskov, Hristo Morgenstern, Thomas Prandini, Maria Munich University of Applied Sciences Department of Engineering and Management Munich Germany Linde Plc Equipment Health Center Pullach Germany Politecnico di Milano Department of Electronics Information and Bioengineering Milan Italy

ISBN: (纸本)9798350347074

Accurate detection and diagnostics of faults in complex industrial plants are important for preventing unplanned downtime, optimizing operations and maintenance decisions, minimizing repair time, and optimizing spare part logistics. It is often infeasible to generate accurate physics-based models of complex equipment;therefore, and due to lower computational complexity, data-driven methods are frequently employed. We propose a novel method for data-driven fault diagnostics and validate it using the Tennessee Eastman process (TEP) benchmark. It is assumed that the time of the onset of the fault is known, such that time-series data from the process both before and after occurrence of the fault can be extracted. For each of the measured time-series, several statistical features are extracted. A statistical significance level is computed for each feature using inferential statistics measures. The matrix of significance levels serves as a 'fingerprint' of each fault category and is used as input to a feedforward neural network. We show that the network can be trained to achieve high classification accuracy on data from the TEP benchmark model. © 2023 IEEE.

关键词： Feature extraction

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process Comparison Based on Selection-Projection Structures 36th

Process Comparison Based on Selection-Projection Structures

引用

36th International conference on Advanced Information Systems Engineering (CAiSE)

作者： Brockhoff, Tobias Uysal, Merih Seran van der Aalst, Wil M. P. Rhein Westfal TH Aachen Chair Proc & Data Sci Aachen Germany

ISBN: (纸本)9783031610561;9783031610578

Insight into differences between different implementations of a process provides valuable information for improvement. process comparison approaches leverage event data on process executions to provide such insight. However, state-of-the-art procedural methods are often limited to local differences considering activities executed within a limited number of steps (e.g., directly following activities). Thereby, detecting differences which, for instance, relate early steps of a process execution to its outcome remains challenging. In contrast, rule-based declarative approaches can detect global differences with respect to distant activities;yet they are limited by the complexity of the rule templates employed. Moreover, they are prone to yield fragmented diagnostics. If a subprocess occurs more frequently in one process variant, these approaches typically report each activity contained. In this work, we therefore propose a process comparison approach that detects aggregated likelihood differences for global control-flow patterns. To this end, we decompose the difference detection task into subprocesses induced by co-occurring activities. Using Earth Mover's Distance, we identify differences within individual subprocesses independent of predefined rule templates. We then aggregate and combine subprocesses which distinguish the process variants. By exploiting relations among subprocesses, we retrieve maximal differences affecting many activities. Reducing fragmentation caused by choice-induced frequency differences, we additionally complement these maximal differences. To compare the sensitivity of our difference detection method to existing approaches, we devise a quantitative evaluation framework. Moreover, we demonstrate the effectiveness of our method on a public, real-life event log. Ultimately, the evaluation shows that our method is accurate and capable of providing coherent, global diagnostics.

关键词： process Mining process Comparison process Variant Analysis Business process Intelligence

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