Papers by Keyword: Health Monitoring

Abstract: Health monitoring systems for industry workers are needed to maintain their safety, health, productivity, and to prevent accidents using technologies to measure workers' physiological and environmental variables could predict and prevent potential human risk in industry. This study aimed to review several health monitoring systems to get information about their system designs, methods, requirements, and performances. Scoping keywords of industrial subjects, actions, health, and devices, along with their synonyms, are used to retrieve articles from the Scopus database from 2009 to June 2023. The screening results in 18 papers. The health monitoring system comprised of several types of personal health and environmental sensors, comprised of EEG, ECG, EMG, PPG, IMU, camera, FMCW, PIR, USR, and sensors of heart rate, body and environment temperature, respiratory rate, relative humidity, dust or particulate matters, noise, hazardous gases, air pressure, and UV. The supporting systems comprised processors, network infrastructures, servers, databases, software and algorithms, actuators, displays and websites, validators, and surveys. Those studies are done either by field or laboratory experiments, software simulations, secondary data analysis, or concept designs. The requirement insights are grouped into ten aspects: validity, effectivity, connectivity, functionality, reliability, safety and security, compatibility, economy, user-friendliness, and supportiveness. The system results and performances varied through the objective and sensor data used, from monitoring purposes to fatigue and health issue detection such as drowsiness, falling, stress depression, and distress. Fatigue and other health issues could be detected by camera image analysis, EMG, IMU, and HRV signals, not by HR or %HRR.

Abstract: Fault protection of AC and DC network using semiconductors requires accurate electrothermal design of active and passive devices to keep power losses low in nominal condition and to sustain high current overload. Using SiC MOSFET for SSPC arises challenges to keep power losses low and to ensure robustness versus abnormal operating condition. Indeed, unpredictable events can dramatically damage the device integrity such as current overload, short-circuit... To overcome those issues, ones are generally carefully design driving system, implementing sensors and fast digital control circuit computing to sense simultaneously current, voltage and temperature, to analyze and detect abnormal operating condition. To reduce the whole detection transmission and reaction chain, we have designed a 1200V ; 30A ; 65mΩ instrumented SiC MOSFET, including both a current mirror and a temperature sensor in the active area of the die. This paper reports for the first-time real-time SiC instrumented MOSFET temperature and current measurement without the need of external sensors nor estimators.

Abstract: Structural health monitoring and control (SHMC) for Post-earthquake realignment and repairs (PERR) is one of the most challenging issues facing earthquake engineers worldwide. Currently, neither SHMC nor PERR are parts of contemporary curricula and codes of practice. The ultimate aim of SHMC is to help achieve a viable degree of structural sustainability (SS) under predictable environmental conditions. In the present context SHMC refers to the effort that aims at achieving structural operability before and after severe earthquakes. SHMC is generally associated with the use of piezoelectric sensors to measure changes in stresses and strains of critical elements of important engineering structures. Regardless of the effectiveness of the SHMC systems no structure can lend itself well to PERR or remain seismically sustainable unless it has been designed specifically for the purpose, otherwise it would be disposable with no gains from the SHMC effort. A SS structure is one that can be designed to prevent actual collapse, overcome residual effects and lend itself well to PERR. All indications are that the use of multifunction design in conjunction with SHMC can lead to the evolution of viable SS archetypes. The purpose of the current article is to introduce a practical basis for efficient use of SHMC concepts in multi-objective earthquake resisting structures (ERSs). Replaceable energy dissipating moment connections (REDMC), rigid rocking cores (RRCs), high strength tendons, built-in stressing devices and support level grade beams have been introduced as natural instruments of structural control. The use of monitoring devices has been directed towards evaluation of the effects of formations or elimination of plastic hinges and the variations of the global drift of the system. The proposed methodologies impose and control the desired modes of lateral response and facilitate the PERR operations. Key words: Health monitoring; structural control; earthquakes; recentering; repairs.

Abstract: The application of composite components in the load-carrying structure boosts the booming of health monitoring techniques so that the crucial damages information inside the composite can be perceived to ensure the secure state of the whole composite. This paper presents a promising self-sensing nanocomposite equipped with carbon nanotube buckypaper sensor to realize the health monitoring function. The CNT-based composite laminates with different contents were compared under monotonic and cyclic flexural loading. The sensor with lesser content of CNT proved to be more qualified for strain monitoring and damage prediction with high sensitivity, stability, and durability.

Abstract: Where a decade a ago mostly visions and bulky carry-on devices existed, today several wearable computing products could be found. For example, activity trackers are already selling in convenience stores. The development does neither mean that the core innovations of the wearable computing vision are realised, nor that there will be any successful wearable device beyond those activity trackers. The product announcements and explorations, such as Google Glass, have identified key challenges that are urging further research investments. The lessons to learn from those recent developments are discussed here, leading to an approach towards multi-function materials and wearable devices. Two projects are described that implement a multi-function approach. In the SimpleSkin project, a generic fabric is developed to realise different sensor functions, controlled via software apps in a Garment OS. The same fabric material is used in smart eyeglasses to realise temple-integrated electrodes. Whereas SimpleSkin aims at skin-attached wearables, the smart eyeglasses developed here closely resemble regular glasses and thus could become publicly accepted wearable accessories. Moving towards wearable technology that is truly embedded into everyday life opens a series of new health support applications that are sketched here, based on the concept of smart eyeglasses.

Abstract: The paper presents the detection and localization of the induced cracks on small specimens based on a modal analysis. The cracks were induced to cement specimens of dimensions 40 × 40 × 160 mm in three different positions. Their position was detected using different techniques based on natural mode shape changes between virgin and damage states of the specimen. The sensitivity of these techniques to the damage level and position was investigated, compared and then discussed in the conclusion.

Abstract: In this paper, the usage possibilities of personal statistics are introduced, which can be applied to improve the patient-specific evaluation in health monitoring systems. The aim of these techniques is to obtain reliable results based on previous measurements. This goal can be achieved by membership function tuning or modification, as well as by a pre-processing method, which is used to judge whether a situation is normal or not. In the latter case, a further requirement, that the appropriate result should be available in time, can also be fulfilled. If the situation is judged to be critical then a reduced model is evaluated instead of the full one.

Abstract: Understanding the characteristics of Lamb waves is very important for developing a structural health monitoring system. The propagation characteristics of Lamb waves are described in the form of dispersion curves, which are plots of phase/group velocities versus the product of frequency-thickness generated by solving the Lamb wave equations. This paper presents a numerical modeling of Lamb waves’ amplitude behaviors for isotropic aluminum plate (Al 2024-T3). The numerical simulations were carried out using ANSYS by exciting the Lamb wave at the plate end in the frequency range of 150-200 kHz for different plate thicknesses.

Abstract: To have a comprehensive summary of existing methods for damage identification of transmission tower so as to provide systematic and effective information, from aspeces of data sources and analytical methods, the existing methods of damage identification were summarized to sort out the technical evolution of the various damage identification methods including the static and dynamic damage identification and inversion and pattern recognition methods.Then, the application status, advantages and disadvantages of various methods were analzed, and the improvement ideas and methods were summarized. Finally, establishment of four-in-one multi-system damage identification method was proposed based on construction monitoring, loads tsets, health monitoring and artificial patrol, which is the development trend of the transmission tower structure damage identification.

Abstract: Industrial cluster has developed into an international economic status, this has received extensive concern. In the current world the economy is gradually transformed from industrialization to information technology, and gradually moves towards low-carbon road. Under the background of the current development of low carbon industry, which will directly affect China’s industrial road, at the same time the development of low carbon industrial cluster will also generate a very important influence on China's economy. The article is based on the theory of low carbon industrial cluster, combining with KAYA model, make a thorough inquiry of the approach and pattern of low carbon industry cluster development, put forward the analysis of the necessity and the feasibility of low carbon industry cluster development, and accordingly put forward path model of achieving the low carbon industrial cluster, in order to provide the powerful guidance for development of low carbon industry, realize the rapid development of Chinese economy, and low carbon development of Chinese industry.