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15th Annual conference of the Prognostics and Health Management Society, PHM 2023

作者： Tang, Liang Saxena, Abhinav Evans, Scott Iyer, Naresh Goldfarb, Helena GE Global Research NiskayunaNY12309 United States

ISBN: (纸本)9781936263059

Performance of a Prognostics and Health Management (PHM) system in a fielded application depends on observability from existing monitoring equipment and sensing, which get determined at the design phase. Although various technologies have been proposed in the literature, there is currently a lack of known generic tools specifically designed for performing design stage sensor placement analyses from a PHM perspective. This leads to PHM observability being an afterthought and resulting PHM designs being sub-optimal. This paper describes a new Optimal sensor Placement (OSP) framework, its implementation as a toolkit and the experience with applying it to a new product design in the context of a Small Modular Reactor (SMR). The formulation adds multiple important features that are critical to PHM applications. Firstly, it establishes a direct link to PHM performance requirements with intent to reduce operational and maintenance costs. Moreover, it acknowledges and accounts for the costs and risks of errors that PHM system will incur, and simultaneously considers operational requirements on sensing for performance, control and/or regulatory requirements. The toolkit described here implements formulations of a large number of requirements scenarios applicable in a generic industrial product development setting. © 2023 Prognostics and Health Management Society. All rights reserved.

关键词： Observability

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Tool Condition Monitoring Based on Nonlinear Output Frequency Response Functions and Multivariate Control Chart

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Journal of Dynamics, Monitoring and Diagnostics 2023年第4期2卷 243-251页

作者： Yufei Gui Ziqiang Lang Zepeng Liu Hatim Laalej Department of Automatic Control and Systems Engineering University of SheffieldSheffield S102TNUK Advanced Manufacturing Research Centre University of SheffieldSheffield S102TNUK

Tool condition monitoring(TCM)is a key technology for intelligent *** objective is to monitor the tool operation status and detect tool breakage so that the tool can be changed in time to avoid significant damage to workpieces and reduce manufacturing ***,an innovative TCM approach based on sensor data modelling and model frequency analysis has been *** from traditional signal feature-based monitoring,the data from sensors are utilized to build a dynamic process ***,the nonlinear output frequency response functions,a concept which extends the linear system frequency response function to the nonlinear case,over the frequency range of the tooth passing frequency of the machining process are extracted to reveal tool health *** order to extend the novel sensor data modelling and model frequency analysis to unsupervised condition monitoring of cutting tools,in the present study,a multivariate control chart is proposed for TCM based on the frequency domain properties of machining processes derived from the innovative sensor data modelling and model frequency *** feature dimension is reduced by principal component analysis *** the moving average strategy is exploited to generate monitoring variables and overcome the effects of *** milling experiments of titanium alloys are conducted to verify the effectiveness of the proposed approach in detecting excessive flank wear of solid carbide end *** results demonstrate the advantages of the new approach over conventional TCM techniques and its potential in industrial applications.

关键词： intelligent manufacturing multivariate control chart Nonlinear Autoregressive with exogenous Input modelling Nonlinear Output Frequency Response Functions tool condition monitoring

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GonioPi: Towards Developing a Scalable, Versatile, Reliable and Accurate Handheld-Wearable Digital Goniometer

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International Journal of advanced Computer Science and applications 2022年第6期13卷 321-330页

作者： Garcia, Thomas Jonathan R. Gom-os, Dhong Fhel K. Center for Research in Intelligent Systems Department of Computer Science University of the Philippines Cebu Cebu Philippines

Range of Motion (ROM) Testing is an important physical examination performed in physical therapy used in assessing the ROM of a patient’s joint. The most commonly used instrument for ROM Testing is the universal goniometer. The most common cause for unreliable and inaccurate joint angle ROM measurements is measurement errors. Multiple studies have been done to mitigate measurement errors in clinical goniometry by designing and developing wearable digital goniometers using sensor technology. This study aims to design and develop a handheld-wearable digital goniometer called the GonioPi that is versatile, scalable, reliable and accurate when using the MPU-6050 IMU sensor and Raspberry Pi Pico as the main components. The results showed that the GonioPi is versatile and scalable as it is able to support multiple ROM Tests using multiple different positions on people with varying heights, weights, and BMI categories. The results also showed that the GonioPi is reliable and accurate as it was able to record joint angle ROM measurements of less than 5 degrees and 10 degrees which are the accepted standard values for reliability and accuracy, respectively © 2022. International Journal of advanced Computer Science and *** Rights Reserved.

关键词： Goniometers

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An Innovative Combined Train Speed Measurement Method for Medium-Low Speed Maglev Trains

An Innovative Combined Train Speed Measurement Method for Me...

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International conference on Electromagnetics in advanced applications (ICEAA)

作者： Huang Susu School of Automation and Intelligence Beijing Jiaotong University Beijing China Signal & Communication Research Institute China Academy of Railway Science Co. Ltd Beijing China

ISBN: (数字)9798350360974

ISBN: (纸本)9798350360981

This paper delves into the medium-low speed maglev transit system, presenting a novel urban railway mode that forgoes conventional axle-based sensors such as speed odometers due to its maglev propulsion characteristics. The research introduces eddy current sensors as a viable alternative for speed measurement, leveraging their non-contact nature and immunity to mechanical wear and environmental constraints. A sophisticated sensor information fusion algorithm, integrating Kalman filtering with adaptive weighted fusion, is proposed to augment the accuracy and dependability of speed measurements. Through a meticulous comparative analysis of four speed measurement fusion algorithms based on their variance, the study identifies the most suitable algorithm for practical engineering applications in real projects. This work not only enhances the methodology of train speed measurement but also provides a foundation for future applications in similar non-contact measurement scenarios.

关键词： Mechanical sensors Magnetic levitation vehicles sensor phenomena and characterization sensor fusion Propulsion Odometers sensor systems Velocity measurement Kalman filters Eddy currents

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Simultaneous measurement of refractive index and temperature based on bent core-offset in-line fiber Mach-Zehnder interferometer 11

Simultaneous measurement of refractive index and temperature...

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conference on advanced sensor systems and applications xI

作者： Wu, Bingcheng Bao, Haiyang Zhou, Yanfei Liu, Yuan Zheng, Jie Jilin Univ Coll Elect Sci & Engn State Key Lab Integrated Optoelect Changchun 130012 Peoples R China

ISBN: (数字)9781510646520

ISBN: (纸本)9781510646520;9781510646513

A bent core-offset in-line fiber Mach-Zehnder interferometer (MZIs) is proposed for refractive index (RI) sensing. After simply bending, not only the RI sensitivity but also the temperature sensitivity can be enhanced as the bending radius decreases. To solve the cross-sensitivity problem, a simultaneous measurement of RI and temperature was carried out. When the bending radius is 35.64 mm, the highest RI sensitivity of -44.55 nm/RIU for the RI range from 1.333 to 1.373, and the highest temperature sensitivity of 0.0799 nm/degrees C for the temperature range from 25 degrees C to 60 degrees C were measured simultaneously.

关键词： Fiber optic sensor Mach-Zehnder interferometer temperature refractive index bent fiber core-offset

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Magnetic Field Sensing with Multi-Material Printed Fiber-Tip Microcantilever 15

Magnetic Field Sensing with Multi-Material Printed Fiber-Tip...

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15th International conference on Information Optics and Photonics, CIOP 2024

作者： Huang, Haoqiang Liao, Changrui Zou, Mengqiang Wang, Yiping Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things Guangdong and Hong Kong Joint Research Centre for Optical Fibre Sensors State Key Laboratory of Radio Frequency Heterogeneous Integration Shenzhen University Shenzhen518060 China Shenzhen Key Laboratory of Ultrafast Laser Micro/Nano Manufacturing Key Laboratory of Optoelectronic Devices and Systems Ministry of Education/Guangdong Province College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China Shenzhen518107 China

ISBN: (数字)9781510686175

ISBN: (纸本)9781510686168

Based the advanced "Lab on Fiber" technology and femtosecond (Fs) laser induced two-photon polymerization (TPP) technology, polymer microstructures printed on fiber tip have great potential as high sensitivity micro-sensors. However, additional functionalization is usually required, the traditional treatments such as electron beam sputtering and chemical coating cannot achieve precise functionalization of local microstructure and require additional post-processing. In this work, we report a successive multi-material on-fiber TPP strategy for 4D-microstructure fabrication, and prepare a fiber-tip polymer magnetic microsensor in one step. First, a cantilever is printed on the fiber tip to form a Fabry-Perot (F-P) interferometer. Then, using a self-made magnetic fluid photoresist, a magnetic cube is printed on the cantilever tip as a magnetically responsive element. This method achieves precise functionalization of local microstructure in one step, avoiding further post-processing. The prepared microcantilever magnetic sensor achieves a high sensitivity of 119 pm mT-1, providing an ultra-compact optical solution for high-resolution measurements of weak magnetic fields. With the rapid development of advanced intelligent materials, the multi-material on-fiber TPP strategy can be extended to other stimulus-response materials, offering new guidance for manufacturing various stimulus-response micro-sensors and micro-actuators on fiber tip. © 2024 SPIE.

关键词： Nanocantilevers

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Automotive Speed Estimation: sensor Types and Error Characteristics from OBD-II to ADAS

Automotive Speed Estimation: Sensor Types and Error Characte...

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IEEE Symposium on Position Location and Navigation (PLANS)

作者： Hany Ragab Sidney Givigi Aboelmagd Noureldin Dept. of Electrical and Computer Engineering Queen’s University Kingston Canada Navigation and Instrumentation (NavINST) Lab Royal Military College of Canada Kingston Canada School of Computing Queen’s University Kingston Canada

ISBN: (数字)9798331523176

ISBN: (纸本)9798331523183

Modern on-road navigation systems heavily depend on integrating speed measurements with inertial navigation systems (INS) and global navigation satellite systems (GNSS). Telemetry-based applications typically source speed data from the On-Board Diagnostic II (OBD-II) system. However, the method of deriving speed, as well as the types of sensors used to measure wheel speed, differs across vehicles. These differences result in varying error characteristics that must be accounted for in navigation and autonomy applications. This paper addresses this gap by examining the diverse speed-sensing technologies employed in standard automotive systems and alternative techniques used in advanced systems designed for higher levels of autonomy, such as advanced Driver Assistance systems (ADAS), Autonomous Driving (AD), or surveying applications. We propose a method to identify the type of speed sensor in a vehicle and present strategies for accurately modeling its error characteristics. To validate our approach, we collected and analyzed data from three long real road trajectories conducted in urban environments in Toronto and Kingston, Ontario, Canada. The results underscore the critical role of integrating multiple sensor modalities to achieve more accurate speed estimation, thus improving automotive navigation state estimation, particularly in GNSS-denied environments.

关键词： Accuracy Navigation Roads Wheels sensor phenomena and characterization sensor fusion sensors Trajectory Velocity measurement Automotive engineering

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An Ontological Model for the Automated Data Replenishment Method Implementation for the Synthesis of Applied Photogrammetry systems

An Ontological Model for the Automated Data Replenishment Me...

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2024 International Russian Automation conference, RusAutoCon 2024

作者： Kozlovskiy, A.V. Melnik, Y.E. Voloshchuk, V.I. Southern Federal University Advanced Engineering School Rostov-on-Don Russia

The article deals with the development of a modified ontological model for the formation and application of a knowledge base for the selection of methods for solving problems of applied photogrammetry in various fields, such as mapping, archaeology and aerial photography. This is relevant, in particular, for automating the design of problem-oriented systems of applied photogrammetry, as well as for fast tracking of new methods, which is difficult to perform manually. The proposed solution is based on the use of a fuzzy ontology containing information about different photogrammetry methods, imaging conditions, equipment parameters and desired results. To integrate new methods into the knowledge base it is proposed to use a combination of modern methods of natural language processing and machine learning, and to store the information about the methods in the form of text descriptions. This allows to automatically determine the optimal methods for a particular photogrammetry task, taking into account the conditions of surveying and the desired results. The paper describes in detail the structure of the ontology with modifications that take into account the current trends in the subject area, in particular the use of mobile devices, as well as the algorithm for integrating new methods and the potential advantages of the proposed solution. The paper also describes the potential of the developed system to improve the efficiency, accuracy and automation of method selection in photogrammetry, which can significantly improve the results of practical applications of photogrammetry in various fields. © 2024 IEEE.

关键词： Aerial photography

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A Vision System With 1-inch 17-Mpixel 1000-fps Block-Controlled Coded-Exposure Stacked-CMOS Image sensor for Computational Imaging and Adaptive Dynamic Range Control

IEEE OPEN JOURNAL OF CIRCUITS AND SYSTEMS

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IEEE OPEN JOURNAL OF CIRCUITS AND systems 2022年 3卷 311-323页

作者： Hirata, Tomoki Murata, Hironobu Arii, Taku Matsuda, Hideaki Yonemochi, Hajime Tezuka, Yojiro Tsunai, Shiro Nikon Inc Adv Technol Res & Dev Div Opto Device Dev Ctr Tokyo 1086290 Japan

This study introduces a vision system that can acquire images at high speeds and high resolutions. Image sensors are used not only in digital still cameras but also in various applications that require capturing wide luminance differences beyond human perception. For example, fast, high-resolution object recognition, and motion tracking in automatic driving systems are essential, particularly in dark tunnels or the mid-summer sunshine. However, the resolution, frame rate, pixel size, and dynamic range should be traded off to achieve a high performance in capturing moving objects with a high contrast. We have developed a high-speed vision system with a readout operation of 1000 fps, resolution of 4K x 4K, dynamic range of 110 dB, and fine pixels of 2.7 mu m. These characteristics were achieved using several technologies such as 1) coded exposure (CE), which divides the image plane into smaller blocks and controls the exposure time of each block individually, 2) arrangement of analog-to-digital converters in parallel for each block, and 3) three-dimensional wafer stacking, which enables high-density integration of circuits and pixels. The proposed system can be applied in CE-based computational imaging in addition to high-dynamic-range applications for handling both the dark and bright areas in a scene.

关键词： Block parallel coded exposure (CE) high dynamic range (HDR) high-speed imaging stacked CMOS image sensor (CIS) vision system

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Investigation of Hardware-Software Solutions for an Energy-Efficient Wireless sensor Network

Investigation of Hardware-Software Solutions for an Energy-E...

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IEEE International Workshop on Intelligent Data Acquisition and advanced Computing systems: Technology and applications

作者： Anastasiia Yatsenko Anzhelika Parkhomenko Carsten Wolff Artem Tulenkov Andriy Parkhomenko National University Zaporizhzhia Polytechnic Zaporizhzhia Ukraine Institute for the Digital Transformation of Application and Living Domains University of Applied Sciences and Arts Dortmund Germany

This work is devoted to the study of methods and tools for minimizing power consumption of wireless sensor networks. The results of processing experimental data for various operating modes of network nodes, as well as options for organizing their power supply and software settings are given. Practical recommendations have been developed to improve the energy efficiency of wireless sensors networks for the Smart Home systems.

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