scholarly journals Development of a data acquisition program to measure the exhaust time of a pneumatic valve

2021 ◽  
Vol 11 (4) ◽  
pp. 335-340
Author(s):  
László Rónai

This paper deals with development of a data acquisition program to measure the exhaust time of a mechanical actuated pneumatic valve. The volume, which will be exhausted is determined by a so-called end of line testing procedure. The data acquisition unit is an Advantech ADAM 4117 8 channel analogue input module. The measuring and logging program is developed in LabVIEW software. The program provides the data in comma separated value file format for postprocessing opportunities.

1980 ◽  
Author(s):  
John E. Ohlson ◽  
Marvin J. Langston

Author(s):  
Will McCarty ◽  
Obi Patrick ◽  
Megan R. Damon ◽  
Alfreda A. Hall

1984 ◽  
Vol 28 ◽  
pp. 241-247
Author(s):  
D. S. Dunn ◽  
T. F. Marinis

We have automated a Seeman-Bohlin Guinier x-ray diffractometer by interfacing it to a minimally configured PDP 11/23 computer. The programs that run on the microcomputer to control the operation of the diffractometer are stored on a mainframe host running the UNIX+ operating system. A software interface allows a particular data acquisition program to be downloaded from the UNIX host and executed on the satellite processor. This same interface allows the collected data to be periodically off-loaded to the host for processing and storage.


Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4775
Author(s):  
Ang Ke ◽  
Jian Huang ◽  
Luyao Chen ◽  
Zhaolong Gao ◽  
Jiping He

To improve the reliability and safety of myoelectric prosthetic control, many researchers tend to use multi-modal signals. The combination of electromyography (EMG) and forcemyography (FMG) has been proved to be a practical choice. However, an integrative and compact design of this hybrid sensor is lacking. This paper presents a novel modular EMG–FMG sensor; the sensing module has a novel design that consists of floating electrodes, which act as the sensing probe of both the EMG and FMG. This design improves the integration of the sensor. The whole system contains one data acquisition unit and eight identical sensor modules. Experiments were conducted to evaluate the performance of the sensor system. The results show that the EMG and FMG signals have good consistency under standard conditions; the FMG signal shows a better and more robust performance than the EMG. The average accuracy is 99.07% while using both the EMG and FMG signals for recognition of six hand gestures under standard conditions. Even with two layers of gauze isolated between the sensor and the skin, the average accuracy reaches 90.9% while using only the EMG signal; if we use both the EMG and FMG signals for classification, the average accuracy is 99.42%.


2020 ◽  
Author(s):  
Try Kusuma Wardana ◽  
Fuad Surastyo Pranoto ◽  
Sayr Bahri ◽  
Prasetyo Ardi Probo Suseno ◽  
Atik Bintoro

2013 ◽  
Vol 816-817 ◽  
pp. 550-553
Author(s):  
Xiang Zheng Li ◽  
Xi Wei Peng ◽  
Qing Bo Geng

This paper discusses a system of data acquisition and processing based on radio frequency technology and labview. It is designed for data acquisition and transmission of UAV (Unmanned Aerial Vehicle) test system. It makes full use of the usefulness of labview in measurement field and the flexibility of wireless data transmission.Firstly this paper introduces the hardware and software of wireless data acquisition and transmission device. Then it introduces the design of labview software. Finally UAV test system uses this device to collect and analysis data, it provided a lot of useful information for the UAV flight test.


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