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检索条件"任意字段=Conference on Advanced Sensor and Control-System Interface"

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Integrating servopress acoustic monitoring with Machine Learning for enhanced predictive maintenance: opportunities and limitations 25

Integrating servopress acoustic monitoring with Machine Lear...

引用

25th International Carpathian control conference (ICCC)

作者： Aradi, Attila Varga, Attila Karoly Takacs, Peter Univ Miskolc Hatvany Jozsef Doctoral Sch Miskolc Hungary Univ Miskolc Inst Automat & Infocommun Miskolc Miskolc Hungary HunReN Balaton Limnol Res Inst Tihany Hungary

ISBN: (纸本)9798350350708;9798350350715

This paper explores the innovative integration of acoustic monitoring of servo presses with machine learning algorithms to improve predictive maintenance strategies in industrial environments. Our research focuses on the application of advanced acoustic sensors to capture and analyze servo press acoustic data, which is critical in forming and pressing operations. This acoustic data serves as a key indicator of machine health, potentially revealing signs of wear or failure before they occur. We present the implementation of machine learning models trained on historical acoustic data, highlighting how these models can identify patterns indicative of machine degradation. The goal of this predictive approach is to optimize maintenance schedules, reduce downtime and extend the lifetime of industrial equipment. It also addresses the inherent challenges and limitations of applying artificial intelligence in this field. These include issues related to the quality and quantity of data required for accurate modelling, the complexity of real industrial environments, the ongoing need for AI system maintenance, and the risks associated with over-reliance on automated systems. Our findings suggest that while integrating servo press acoustic monitoring with machine learning offers significant potential for improving predictive maintenance, it requires a balanced approach that combines technological innovation with human expertise. The paper concludes with recommendations for future research and practical implementation strategies in industrial settings.

关键词： Artificial Intelligence machine learning predictive maintenance acoustic monitoring servopress SCADA sensor system engineering fault diagnosis Industry 4.0

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About Existence of Resilient Supervisors against Smart sensor Attacks 61

About Existence of Resilient Supervisors against Smart Senso...

引用

IEEE 61st conference on Decision and control (CDC)

作者： Su, Rong Nanyang Technol Univ Sch Elect & Elect Engn 50 Nanyang Ave Singapore 639798 Singapore

ISBN: (纸本)9781665467612

One key challenge of cybersecurity of discrete event systems (DES) is how to ensure system resilience against sensor and/or actuator attacks, which may tamper data integrity and service availability. In this paper we discuss decidability issues related to smart sensor attacks. We first present a sufficient and necessary condition that ensures the existence of a smart sensor attack, which reveals a novel demand-supply relationship between an attacker and a controlled plant, represented as a set of risky pairs. Each risky pair consists of a damage string desired by the attacker and an observable sequence feasible in the supervisor such that the latter induces a sequence of control patterns, which allows the damage string to happen. It turns out that each risky pair can induce a smart weak sensor attack. Next, we show that, when the plant, supervisor and damage language are regular, it is possible to remove all such risky pairs from the plant behaviour, via a genuine encoding scheme, upon which we establish our key result that the existence of a nonblocking supervisor resilient against all smart sensor attacks is decidable.

关键词： Supervisory personnel

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Electrical Tomography sensors - interface Level Measurements Inside Desalters and Dehydrators

Electrical Tomography Sensors - Interface Level Measurements...

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2024 Abu Dhabi International Petroleum Exhibition and conference, ADIPEC 2024

作者： Kallinen, Johanna Voutilainen, Arto Cyriac, Sinoj Nissinen, Antti Rocsole Ltd. Kuopio Finland

ISBN: (纸本)9781959025498

In crude oil process vessels, precise control of oil and water levels is vital. In oil refining, high-voltage electrostatic coalescers create strong electric fields for desalting and dehydration, which may disrupt electrical level measurements. Stilling wells improve measurement conditions and shield devices from external electrical interference. This paper proposes enclosing electric tomography- based level measurement technology within a perforated stilling well to counteract high-voltage grid effects. Electrical Tomography (ET) enables comprehensive real-time monitoring of material distributions in various environments, such as pipes, tanks, and vessels. The ET probe sensor provides information on liquid levels within separators, identifying water-emulsion, emulsion-oil and oil-gas interfaces. The probe sensor is confined by a rather narrow stilling well to investigate its effects on measurement accuracy. The stilling well, with an inner diameter of 91.3 mm, accommodated a probe with a diameter of 59.0 mm. The system was tested with 11 different configurations of stratified liquids so that its level measurement capabilities were assessed with water, emulsion, oil and gas. In general, ET measurements within stilling wells are very localized since the proximity of the metal wall of the stilling well affects the electric interactions between the electrodes. The test results showed that the measured information still contains a sufficient amount of information so that the conductivity profile and subsequent interface levels can be estimated with good accuracy. The Root Mean Square Error (RMSE) across all interface levels in the entire series of test cases was 20.6 mm. This equates to approximately 1% of the length of the measurement area. This is of the same order of magnitude as in standard test measurements in identical conditions but without the stilling well. Electrical Tomography is well-suited for real-time measurement of various interface levels in challenging

关键词： Crude oil

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A Production Management system for Bacillus Cereus Based on Wireless sensor Network 2

A Production Management System for Bacillus Cereus Based on ...

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2nd IEEE International conference on Software Engineering and Artificial Intelligence (SEAI) / 7th International Workshop on Pattern Recognition (IWPR)

作者： Song, Jia Shaanxi Univ Sci & Technol Dept Telecommun Engn Hao Jing Coll Xian Peoples R China

ISBN: (数字)9781665482233

ISBN: (纸本)9781665482233

According to this paper, the design of the production control system of bacillus cereus based on wireless sensors is proposed, with the aim of solving the growing market demand of bacillus cereus by standardizing the system control process. The host computer designs the main modules, it includes the parameter configuration, interface services, fermentation tank control process, video display and so on. The modules are designed through configuration software. In practice, the design tries to solve the control of human factors, such as personnel operation lag and irregular operation for the fermentation tank. At the same time, the corresponding parameters and control processes that need to be detected are proposed in the fermentation tank control system, which can provide a certain reference for other production control system developers. In summary, the design of the bacillus cereus induction system based on wireless sensors can enhance the accuracy and speed of bacillus cereus fermentation tank operations, improve the problems of untimely and error in personnel management, and at the same time, reduce production management costs under the premise of improving production efficiency.

关键词： bacillus cereus management system wireless sensors

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Data-Driven Output Containment control of Heterogeneous Multiagent systems: A Hierarchical Scheme 63

Data-Driven Output Containment Control of Heterogeneous Mult...

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63rd IEEE conference on Decision and control, CDC 2024

作者： Sader, Malika Li, Wenyu Yin, Yanhui Li, Zhongmei Huang, Dexian Liu, Zhongxin He, Xiao Shang, Chao Tsinghua University Department of Automation Beijing100084 China Nankai University Coll. of Artif. Intell. Tianjin Key Lab. of Interventional Brain-Comp. Interface and Intelligent Rehab. Tianjin300350 China North-East Electric Power University School of Automation Engineering Jilin132000 China East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education Shanghai200237 China Tsinghua University Department of Automation Beijing National Research Center for Information Science and Technology Beijing100084 China

ISBN: (纸本)9798350316339

In this article, we propose a data-driven solution to the output containment control problem of multiagent systems characterized by heterogeneous and unknown dynamics. The proposed data-driven scheme is hierarchical, which includes a network layer and a physical layer, bypassing the traditional modeling exercise and eliminating the need for explicit state-space models. In the network layer, a fully distributed observer without knowing the dynamics of leaders is designed to generate a containment trajectory. A data-driven approach based on data sampled from an auxiliary system is developed to overcome the dependence on the explicit state-space models for design of control gains. This paves the way for deriving a datadriven solution to the regulator equation, which is derived by employing the data informativity condition and relevant data in the physical layer. The results demonstrate that the closedloop system is asymptotically stable, and the regulated output containment converges to zero. Compared to generic modelbased hierarchical schemes, the assumptions that the system matrices are completely known and homogeneous on system dynamics can be relaxed. © 2024 IEEE.

关键词： Hierarchical systems

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2024 IEEE Sustainable Smart Lighting World conference and Expo, LS24 2024

2024 IEEE Sustainable Smart Lighting World Conference and Ex...

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2024 IEEE Sustainable Smart Lighting World conference and Expo, LS24 2024

ISBN: (纸本)9798331540197

The proceedings contain 80 papers. The topics discussed include: smart street lighting systems for sustainable smart cities: a conceptual framework;net-zero building lighting: a smart lighting system framework enabled by photovoltaic-integrated power over ethernet;examining the impact of aging of the lighting equipment and the new revision of lighting standards on a football lighting pitch;intuitive human-light interaction through embedded ML: evaluation of infrared array sensor for advanced gesture control in smart lighting systems;securing additional energy savings in SSL: an international lighting technology roadmap;survey on people’s opinions regarding façade lighting and light pollution: the case study of Greece;and effects of smart adaptive street lighting on residents’ behavior and experiences: results from a field test.

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Performance evaluation method of closed-loop system considering sensor degradation

Performance evaluation method of closed-loop system consider...

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2021 International conference on advanced Manufacturing Technology and Electronic Information, AMTEI 2021

作者： Gao, Aiguo Liu, Lei North China Electric Power Research Institute Co. LTD Beijing100045 China

To improve the closed loop control system in the accuracy of the parts when degraded performance evaluation, this paper proposes a new performance evaluation method based on improved relative entropy index, first of all, the original asymmetric relative entropy distance measure improvement for symmetric distance measure, and then through the unbounded function mapping index improved to (0, 1) range of bounded indicators. In the Gaussian case, the index value can be calculated from the mean and variance of the data. Finally, the influence of sensor degradation in the control system on the performance of the control system is considered, and a simulation model including sensor degradation is established by Matlab/Simulink. The improved relative entropy index is used to evaluate the performance. Compared with the minimum variance index, this method can evaluate the performance of the control system flexibly and effectively when the sensor degradation. © Published under licence by IOP Publishing Ltd.

关键词： MATLAB

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Multi-sensor Calibration system for Mobile Robots 7

Multi-sensor Calibration System for Mobile Robots

引用

7th CAA International conference on Vehicular control and Intelligence, CVCI 2023

作者： Wu, Wei Liu, Chang Cao, Wenhan Chen, Chao Li, Hongbo Li, Shengbo Eben The School of Vehicle and Mobility Tsinghua University Beijing100084 China The Department of Advanced Manufacturing and Robotics College of Engineering Peking University Beijing100871 China The Robot R&D Department Geekplus Corp. Beijing100107 China

ISBN: (纸本)9798350340488

Multi-sensor calibration is crucial for mobile robots, especially in logistics and warehouse environments. While calibration techniques exist for individual sensors, industry-level calibration of the multiple sensors on mobile robots covering the entire operational life cycle is rarely explored. To bridge the gap, we present a fast, accurate, and scalable calibration system supporting both manufacturing and operation phases for mobile robots with diverse sensors like odometers, IMUs, LiDARs, and cameras. Specifically, we propose an online yaw angle estimation approach for IMU by fusing odometer data as compensation. Additionally, we pioneer an approach to calibrate 2D LiDAR using surrounding objects' reflectance strength as the calibration metric in the manufacturing phase calibration, and the iterative closest point method for refinements during operation phase calibration. Furthermore, we develop a least squares formulation to calibrate cameras' intrinsic and extrinsic parameters, achieving rapid convergence. The system has been used by Geekplus across factories worldwide including Asia, Europe, America, and Oceania, successfully calibrating and deploying over 30,000 mobile robots. © 2023 IEEE.

关键词： Logistics Mobile Robots Multi-sensor Calibration Warehouse Applications

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system Design of Ground Test Equipment for Star sensor

System Design of Ground Test Equipment for Star Sensor

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International conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML)

作者： Si, Weikang Zhang, Hengguang Yang, Ruke Li, Libin Song, Qingzheng Yu, Luwei Shanghai Aerosp Control Technol Inst Shanghai Peoples R China China Agr Univ Beijing Peoples R China

ISBN: (数字)9781665473644

ISBN: (纸本)9781665473644

With the accumulation of high-precision star sensor models year by year, testers have put forward higher requirements for the low degree of automation of the star sensor ground test system, high maintenance costs, and difficulty in centralized management. In this context, it is very important to develop a simple and easy-to-use automated test system for star sensors. This project uses a standard Ethernet interface and a custom communication protocol to study an automated test system to improve test efficiency and quality. Through the python+Flask framework, the React technology of the web front-end and Webpack packaging technology are specific development methods, the Postgresql database storage technology is used, and the front-end interaction method is used to complete the development. The later development efficiency is high, and the maintenance cost is low. This article specifically introduces the principle of the system, functional modules and the design of the database. The results of the system use show that the project basically reached the original design goals and met the basic requirements of the testers. The system has the characteristics of reasonable structure, friendly interface, and easy maintenance.

关键词： Python Flask Postgresql database Webpack React Docker

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Multi-modal User interface for Multi-robot control in Underground Environments*

Multi-modal User Interface for Multi-robot Control in Underg...

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IEEE/RSJ International conference on Intelligent Robots and systems (IROS)

作者： Chen, Shengkang O'Brien, Matthew J. Talbot, Fletcher Williams, Jason Tidd, Brendan Pitt, Alex Arkin, Ronald C. Georgia Inst Technol Dept Elect & Comp Engn Atlanta GA 30332 USA Georgia Inst Technol Sch Interact Comp Atlanta GA 30332 USA CSIRO Robot & Autonomous Syst Grp Pullenvale Qld Australia Queensland Univ Technol Sch Elect Engn & Robot Brisbane Qld Australia

ISBN: (数字)9781665479271

ISBN: (纸本)9781665479271

Leveraging both the autonomy of robots and the expert knowledge of humans can enable a multi-robot system to complete missions in challenging environments with a high degree of adaptivity and robustness. This paper proposes a multi-modal task-based graphical user interface for controlling a heterogeneous multi-robot team. The core of the interface is an integrated multi-robot task allocation system to allow the user to encode his/her intents to guide the heterogeneous multirobot team. The design of the interface aims to provide the human operator continuous situational awareness and effective control for rapid decision-making in time-critical missions. Team CSIRO Data61 came in second place utilizing this interface for the DARPA Subterranean (SubT) Challenge. The ideas used for this user interface can apply to other multi-robot applications.

关键词： Decision making Government Multitasking Robustness Time factors Resource management Multi-robot systems

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