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Highly stretchable polymer/silver nanowires composite sensor for human health monitoring

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Nano Research 2020年第4期13卷 919-926页

作者： Yanjing Zhang Pei He Meng Luo Xiaowen Xu Guozhang Dai Junliang Yang Hunan Key Laboratory for Super-microstructure and Ultrafast Process School of Physics and ElectronicsCentral South UniversityChangsha 410083China

Flexible strain sensors exhibit outstanding advantages in terms of sensitivity and stability by detecting changes in physical *** can be easily attached to human skin and clothed to achieve monitoring of human motion and ***,general sensing material shows low stretchability and cannot respond to signals under large *** this work,a highly stretchable polymer composite was developed by adding small amount(0.17 wt.%)of silver nanowires(AgNWs)in stretchable conductive polymer *** conductivity of polymer/AgNWs composite is 1.3 S/m with the stretchability up to 500%.The stretchable strain sensor based on the polymer/AgNWs composite can respond to strain signals in real time,even for 1%strain response,and shows excellent stability over 1,000 loading/unloading ***,the strain sensor can be attached to human skin and clothed to monitor joints,throat and pulse of the human *** human body electrocardiogram(ECG)signal was detected successfully with the polymer/AgNWs electrode,which is comparable to the signal obtained by the commercial ***,the sensors enable monitoring of human movement and *** advantages make it a potential application in wearable devices and electronic skin.

关键词： stretchable sensor silver nanowires health monitoring electrocardiogram

Wearable sweat biosensors on textiles for health monitoring

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Journal of Semiconductors 2023年第2期44卷 11-24页

作者： Yuqing Shi Ziyu Zhang Qiyao Huang Yuanjing Lin Zijian Zheng School of Microelectronics Southern University of Science and TechnologyShenzhen 518055China School of Fashion&Textiles The Hong Kong Polytechnic UniversityHong Kong SARChina Department of Applied Biology and Chemical Technology The Hong Kong Polytechnic UniversityHong Kong SARChina Research Institute for Intelligent Wearable Systems(RI-Wear) The Hong Kong Polytechnic UniversityHong Kong SARChina

With the rapid technological innovation in materials engineering and device integration,a wide variety of textilebased wearable biosensors have emerged as promising platforms for personalized healthcare,exercise monitoring,and *** paper reviews the recent progress in sweat biosensors and sensing systems integrated into textiles for wearable body status *** mechanisms of biosensors that are commonly adopted for biomarkers analysis are first *** classification,fabrication methods,and applications of textile conductors in different configurations and dimensions are then ***,innovative strategies to achieve efficient sweat collection with textile-based sensing patches are presented,followed by an in-depth discussion on nanoengineering and system integration approaches for the enhancement of sensing ***,the challenges of textile-based sweat sensing devices associated with the device reusability,washability,stability,and fabrication reproducibility are discussed from the perspective of their practical applications in wearable healthcare.

关键词： biosensor textile-based electronics wearable device sweat analysis health monitoring

In-situ health monitoring of IGBT Modules of an On-line Medium-voltage Inverter System Using Industrial Internet of Things

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CSEE Journal of Power and Energy Systems 2020年第3期6卷 638-648页

作者： Mingyao Ma Bing Ji Jinsong Han Jianing Wang Mingyue Zhan Nianwen Xiang Heifei University of Technology HeifeiChina University of Leicester LeicesterU.K

Requirements of the Internet of things for the network includes the ability to monitor the equipment and ***,the reliability of a power electronics converter has raised concerns of both academia and *** particular,power semiconductor devices are continuously exposed to excessive stress while being designed with high power handling capability and are considered as the most fragile component in power converters suffering from a high failure *** to find an effective monitoring method which is also helpful for the Internet of Things and improve the reliability of a three-level neutral-point-clamped power inverter,an in-situ health monitoring method is proposed by harnessing the inverter operational characteristics and degradation sensitive electrical parameters to address the IGBT wire bonding *** zero voltage state provides an inherent redundant feature that allows for a power switch to be diagnosed during its normal operation in a neutralpoint-clamped power *** proposed prognostic approach obtains both the wire bonding failure features and junction temperature from the terminals of an IGBT module,which is regarded as non-invasive on-line health *** system performance can be affected by the designated testing point and testing window,which is discussed and experimentally *** proposed technique allows unhealthy wire bonding in IGBT modules online monitoring during the operational period of the *** the proposed in-situ health monitoring of IGBT modules can be used for the industrial Internet of things.

关键词： IGBT health monitoring temperature sensitive electrical parameter(TSEP) three-level inverters reliability

Fault Identification and health monitoring of Gas Turbine Engines Using Hybrid Machine Learning-based Strategies

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风机技术 2022年第1期64卷 71-80页

作者： Yan-yan Shen Khashayar Khorasani Department of Electrical and Computer Engineering Concordia UniversityMontrealCanada.

Ahealth monitoring scheme is developed in this work by using hybrid machine learning strategies to iden-tify the fault severity and assess the health status of the aircraft gas turbine engine that is subject to component degrada-tions that are caused by fouling and *** proposed hybrid framework involves integrating both supervised recur-rent neural networks and unsupervised self-organizing maps methodologies,where the former is developed to extract ef-fective features that can be associated with the engine health condition and the latter is constructed for fault severity modeling and tracking of each considered degradation *** of our proposed methodology are that it ac-complishes fault identification and health monitoring objectives by only discovering inherent health information that are available in the system I/O data at each operating *** effectiveness of our approach is validated and justified with engine data under various degradation modes in compressors and turbines.

关键词： Gas Turbine Engines health monitoring Fault Identification Self-organizing Maps Machine Learn-ing Recurrent Neural Networks

Integration designs toward new-generation wearable energy supply-sensor systems for real-time health monitoring:A minireview

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InfoMat 2020年第6期2卷 1109-1130页

作者： Yongchao Tang Xuejin Li Haiming Lv Wenlong Wang Chunyi Zhi Hongfei Li Songshan Lake Materials Laboratory DongguanGuangdongChina Department of Materials Science and Engineering City University of HongKongHong KongChina Beijing Key Laboratory for New Energy Materials and Devices Beijing National Laboratory for Condensed Matter PhysicsInstitute of PhysicsCASBeijingChina

Wearable sensing systems,as a spearhead of artificial intelligence,are playing increasingly important roles in many fields especially health *** order to achieve a better wearable experience,rationally integrating the two key components of sensing systems,that is,power supplies and sensors,has become a desperate ***,limited by device designs and fabrication technologies,the current integrated sensing systems still face many great challenges,such as safety,miniaturization,mechanical stability,energyefficiency,sustainability,and *** this review,the key challenges and opportunities in the current development of integrated wearable sensing systems are *** summarizing the typical configurations of diverse wearable power supplies,and recent advances concerning the integrated sensing systems driven by such power supplies,the representative integrated designs,and micro/nanofabrication technologies are ***,some new directions and potential solutions aiming at the device-level integration designs are outlooked.

关键词： energy storage devices flexible energy supplies health monitoring integrated sensing systems wearable sensors

health monitoring Method of Aero-Engine Based on Immunology Principles

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Health Monitoring Method of Aero-Engine Based on Immunology ...

health monitoring of Railway Vehicle Door System Based on Movement Resistance Analysis

第二十七届中国控制会议

作者： Zhang Chuanchao Avic Information Technology Co.,LTD,Beijing 100083,P.R.China

In view of the problems such as complex modeling,large sample demands and discontinuous learning in recent health monitoring of aero-engine,a method based on immunology principles is *** state symptoms as antigens,and detectors under different fault modes as antibodies,the normal and anomaly conditions are distinguished via negative *** antibodies that can identify the structures of antigens are generated via the clonal selection *** health condition of aero-engine is determined by the maximum fault *** proposed method was applied to monitor health state of *** emulation result indicates that the method has the merits of high identification accuracy,and being fit for health monitoring of aero-engine with low demands on fault samples.

关键词： Immunology Principles health monitoring Fault Diagnosis Aero-engine

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Health Monitoring of Railway Vehicle Door System Based on Mo...

A Continuous health monitoring System for Photovoltaic Array Using Arduino Microcontroller

第30届中国控制与决策会议

作者： Jing Long Shiyou Zhu Shizhong Zhang Zhixing Xu Guangwei Han Ningyun Lu Guangzhou Metro Group Co. Ltd Nanjing Kangni Mechanical & Electrical Co. Ltd Nanjing University of Aeronautics & Astronautics

Reliability of door system is directly related to the operation safety and efficiency of railway ***,door system is with high failure rate and its failure modes are not clearly known *** accurate health monitoring is its urgent need for predictive maintenance,which is expected to achieve great time and cost *** this paper,a health monitoring method is proposed based on door movement resistance analysis on the signals of the intelligent driven *** major internal and external factors that cause friction increase during door movement are *** component analysis（PCA） is used to construct the health indicators for online *** sets of experiments are conducted to verify the proposed method,where the global and local movement resistances are intentionally added to simulate internal and external factors,*** results show that,the proposed health monitoring method can reveal the latent health status accurately and provide helpful information for predictive maintenance.

关键词： Railway Vehicle Door System health monitoring Movement Resistance Analysis Statistical Analysis Intelligent driven motor

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Circuits and Systems 2016年第11期7卷 3494-3503页

作者： P. Pounraj D. Prince Winston S. Cynthia Christabel R. Ramaraj Department of Electrical and Electronic Engineering Cheran College of Engineering Karur India Department of Electrical and Electronic Engineering Kamaraj College of Engineering and Technology Virudhunagar India Department of Electrical and Electronic Engineering Sethu Institute of Technology Kariapatti India Kamaraj College of Engineering and Technology Virudhunagar India

In this paper new technique is developed to monitor the health status of the PV panels in the array. For finding the health status short circuit current is measured continuously over a fixed time period. This technique can classify the health status into four categories such as healthy, Low Fault, Medium Fault and High Fault. By this classification faulty operation can be rectified and power generation may be improved. In case of high faults, PV panels can be protected. The cost requirement for the implementation is very low. The proposed technique is implemented in MATLAB Simulation and hardware. The array considered in this paper is 2 × 2 Series Parallel.

关键词： Photovoltaic (PV) Array health monitoring Fault Arduino Microcontroller

Sensor placement of long-term health monitoring for large bridges based on the real-time correction of finite element model

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Journal of Chongqing University 2013年第3期12卷 123-130页

作者：陈悦 ZHOU Jian-ting SHEN Pei-wen College of Civil Engineering and Architecture Chongqing Jiaotong University Chongqing Construction Science Research Institute

The process of optimized placement of long-term health monitoring sensors for large bridges generally begins with finite element models, but there will arise great discrepancies between theoretically-calculated results and actual ***, rectified finite element models need to be rectified by virtue of model rectifying technology. Firstly, the result of construction monitoring and finished state load test is used to real-time modification of finite element model. Subsequently, an accurate finite element model is established. Secondly, the optimizing the layout of sensor with following orthogonality guarantees orthogonal property and linear independence for the measured data. Lastly, the effectiveness and feasibility of method in the paper is tested by real-time modifying finite element model and optimizing the layout of sensor for Nujiang Bridge.

关键词： large bridges health monitoring real-time correction optimal sensor placement