sensor system
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2022 ◽  
Vol 149 ◽  
pp. 106797
Fang Song ◽  
Chuantao Zheng ◽  
Shuo Yang ◽  
Kaiyuan Zheng ◽  
Weilin Ye ◽  

2022 ◽  
pp. 1-15
Natarajan Shriethar ◽  
Pournan Letchoumanane ◽  
Saravanakumar Solai

For automatic temperature measuring and logging purposes in solar thermal experiments, a single board computer - Raspberry Pi based and sensor system is proposed. Different data sets are observed for sensors, thermometers, and thermocouples and they are compared. The consistency of the automated temperature measurement system is also verified.

2022 ◽  
Vol 142 (1) ◽  
pp. 2-7
Yoshihiro Hasegawa ◽  
Hayato Noma ◽  
Miyoko Matsushima ◽  
Shin Hasegawa ◽  
Tsutomu Kawabe ◽  

youwei Zhao ◽  
Ningle Hou ◽  
Yifan Wang ◽  
Chaochao Fu ◽  
Xiaoting Li ◽  

Flexible, wearable self-powered pressure sensors have successfully sparked great interest in a variety of potential applications. However, the fabrication of such a sensor system with ultra-long battery life, ultra-high operational...

2022 ◽  
pp. 113961
Monireh Bakhshpour ◽  
Elisa Chiodi ◽  
Iris Celebi ◽  
Yeşeren Saylan ◽  
Nese Lortlar Ünlü ◽  

2022 ◽  
Vol 19 (1) ◽  
pp. 1713
Mohammed Abdulla Abdulsada ◽  
Mohammed Wajeeh Hussein ◽  
Jabbar Shatti Jahlool ◽  
Majid S. Naghmash

This paper presents the design and simulation of air-fuel percentage sensors in drone engine control using Matlab. The applications of sensor engineering system have been pioneer in technology development and advancement of automated machine as complex systems. The integration of drone fuel sensor system is the major series components such as injector, pumps and switches. The suggested model is tuned to interface drone fuel system with fuel flow in order to optimize efficient monitoring. The sensor system is improved and virtualized in Simulink block set by varying the parameters with high range to observe the fuel utilization curves and extract the validated results. The obtained results show that the possibility of engine operation in critical conditions such as takeoff, landing, sharp maneuver and performance is applicable to turn off the system in case of break down in the sensor to ensure the safety of drone engine. HIGHLIGHTS The drone engine fuel rate sensor is designed and examined to determine the air-to-fuel ratio The suggested model is tuned to interface drone fuel system with fuel flow in order to optimize efficient monitoring The obtained results show that the possibility of using engine with different failure mode and fault considerations The represented control structure is simple, efficient and provides the required air-to-fuel ratio

2021 ◽  
Vol 10 (4) ◽  
pp. 01-07
A. Ashibaparveen ◽  
V. Senthilkumar ◽  
T. Venkatesan ◽  
P. Gowdhaman ◽  
Haresh M. Pandya

The characterization of a custom-designed GC-based SAW e-Nose sensor system is presented here to study the sensing ability of the sensor system to detect and identify low medium and high toxic vapors. A semi-automated multi-vapor generator generates vapors of chemical compounds that are then exposed to the sensing system to examine its performance under various concentrations. Time-domain verses frequency response of GC-SAW Sensor is noted for repeated cycles against different chemical compounds like xylene, 1,2 dibromoethane, dimethyl sulfate, triethyl phosphate, nitrobenzene, phosphorous trichloride being tested. The generated data is examined using a principle component analysis (PCA) technique to detect a unique response for an individual chemical compound. Experimental results are reported.

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