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Sensor Hall Effect on Analyses Mechanical Stress

Journal of Mechanics Engineering and Automation 2015年第1期5卷 19-25页

作者： Jacques Cousteau da Silva Borges abel cavalcante lima filho Francisco Antonio Belo Physics Laboratory IFRN (Instituto Federal de Educaqao Ciencia e Tecnologia do Rio Grande do Norte) Natal 59015-000 Brazil Solar Energy Laboratory UFPB (Universidade Federal da Paraiba) Joao Pessoa 58051-000 Brazil

Measuring the magnetic field is a common practice in industrial processes. We can cite the voltage measurements through PTs （potential transformers）. This is a classic example of inductive field measuring, predicting to be measured quantity is of oscillatory nature, with the circuit instrumentation scaled and calibrated for a typical frequency of 50/60 Hz. For a long time, only the binary information：＂this field＂ and ＂missing field＂ is needed. For example, only with this information can we identify the frequency of the rotating shaft. Currently, new technologies employ magnetic sensors for measuring positions （distances, angles, etc.） from the intensity of the magnetic field. Inductive sensors are inefficient on measurements of static fields, such as magnets, opening spaces for new linear Hall effect sensors, and static which deal with these situations without difficulty. The present study examines the behavior of the Hall sensor, making the measurement of the intensity of the static magnetic field of the rotating magnet and the same, verifying the effect of the speed at which the magnet passes the sensor in some way alter the measurement. The results are favorable manda and the versatility of these sensors in many different applications.

关键词： Dynamic measurement Hall effect instrumentation sensors and actuators in robotics

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Motor speed estimation and failure detection of a small UAV using density of maxima

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Frontiers of Information Technology & Electronic Engineering 2021年第7期22卷 1002-1009页

作者： Jefferson S.SOUZA Moises C.BEZERRIL Mateus A.SILVA Frank C.VERAS abel lima-filho Jorge Gabriel RAMOS Alisson V.BRITO Laboratory of System Engineering and Robotics Federal University of ParaibaJoao PessoaBrazil Department of Information Systems Federal University of PiauiPicosBrazil Department of Mechanical Engineering Federal University of ParaibaJoao PessoaBrazil Department of Physics Federal University of ParaibaJoao PessoaBrazil

This work presents the application of the technique named signal analysis based on chaos using density of maxima to analyze brushless direct current *** uses a correlation coefficient estimated from the density of maxima of the current *** study demonstrates in experiments the speed estimation of a brushless motor on a testbench and failure detection in a small flying *** experimental results demonstrate that it is possible to estimate the speed in 97.8%of the cases and to detect failure in 82.75%of the analyzed cases.

关键词： Unmanned aerial vehicle(UAV) Speed identification Failure detection Chaos

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Evaluation of Sleep Quality in Undergraduated Medical Students

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Journal of Behavioral and Brain Science 2024年第10期14卷 265-275页

作者： Isaac Filipe Melo de Freitas Poliana Pinheiro Pascoal Rafaela Cruz Sampaio Carla Maria de lima Barbosa João Pedro Palmeira Lopes Diêgo Lucas Ramos e Silva Gabriel Arthur Gomes cavalcante Milton Vieira Costa Euclides Mauricio Trindade filho Department of Physiological Sciences State University of Health Sciences of Alagoas Macei Brazil University Center CESMAC Macei Brazil Uninassau Faculty Arapiraca Brazil

Objective: The aim of this study was to evaluate the sleep quality of medical students to identify the main factors that affect sleep patterns. Methods: According to the methodology, 154 students participated in the research, attending from the first to the sixth year of the course. The Pittsburg Sleep Quality Index questionnaire and the Epworth sleepiness scale were applied. Descriptive statistics techniques were applied and demonstrated in the form of tables and graphs. The comparison of variables was carried out using statistical tests. Results: The results showed that most students do not sleep very well. It was observed that 68.83% of a total of 106 students are bad sleepers. Conclusion: It is concluded that medical students sleep a low number of hours by period, which could interfere in impairment of attention, learning and memory formation, interfering in academic performance. On the other hand, they showed greater daytime sleepiness compared to the general population.

关键词： Sleep Quality Daytime Sleepiness Medical Students

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