Signal Analysis in Back Bias Speed Sensor Systems

2013 ◽  
Author(s):  
Michael Ortner ◽  
Michael Seger ◽  
Marcelo Ribeiro ◽  
Armin Satz
Keyword(s):  
Signal Analysis ◽  
Sensor Systems ◽  
Speed Sensor

scholarly journals A High Sensitivity Self-Powered Wind Speed Sensor Based on Triboelectric Nanogenerators (TENGs)

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2951
Author(s):  
Yangming Liu ◽  
Jialin Liu ◽  
Lufeng Che
Keyword(s):  
Wind Speed ◽  
High Sensitivity ◽  
Electrical Signal ◽  
Geometrical Parameters ◽  
Sensor Systems ◽  
Speed Sensor ◽  
Speed Range ◽  
Self Powered ◽  
Triboelectric Nanogenerators ◽  
Application Prospects

Triboelectric nanogenerators (TENGs) have excellent properties in harvesting tiny environmental energy and self-powered sensor systems with extensive application prospects. Here, we report a high sensitivity self-powered wind speed sensor based on triboelectric nanogenerators (TENGs). The sensor consists of the upper and lower two identical TENGs. The output electrical signal of each TENG can be used to detect wind speed so that we can make sure that the measurement is correct by two TENGs. We study the influence of different geometrical parameters on its sensitivity and then select a set of parameters with a relatively good output electrical signal. The sensitivity of the wind speed sensor with this set of parameters is 1.79 μA/(m/s) under a wind speed range from 15 m/s to 25 m/s. The sensor can light 50 LEDs at the wind speed of 15 m/s. This work not only advances the development of self-powered wind sensor systems but also promotes the application of wind speed sensing.

Durability Test System of Four-Channel Motorcycle Wheel Speed Sensor Based on LabVIEW

2011 ◽  
Vol 383-390 ◽  
pp. 104-110
Author(s):  
Jin Ming Tian ◽  
Juan Juan Liang
Keyword(s):  
Signal Analysis ◽  
Measurement Data ◽  
Test System ◽  
Durability Test ◽  
Testing Method ◽  
Speed Sensor ◽  
Testing Tools ◽  
Sensor Platform ◽  
Turning Control ◽  
System Operating

A four-channel sensor durability to intermittent operation of motorcycle test system was given based on LabVIEW. The system provides a good working platform and a Convenient testing tools for the four channels of sensor signal data acquisition, signal analysis and processing. The hardware is composed of four-sensor platform, oscilloscope, servo motor, calibration, and computer. The system operating interface is designed using LabVIEW. The results show that the system could achieve the continuous automatic motor stopping, turning control, it could also sample four channel signals and analysis of the measurement data, automatic judge, real-time display. Compared with the traditional testing method, which saves cost and improves testing efficiency.

Heterodyne processing scheme for low coherence interferometric sensor systems

1991 ◽  
Vol 138 (6) ◽  
pp. 393
Author(s):  
B.T. Meggitt ◽  
W.J.O. Boyle ◽  
K.T.V. Grattan ◽  
A.E. Baruch ◽  
A.W. Palmer
Keyword(s):  
Sensor Systems ◽  
Processing Scheme ◽  
Low Coherence ◽  
Interferometric Sensor

A Fault Detection Approach Based on Sound Signal Analysis for Equipment Monitoring

2020 ◽  
pp. 129-139
Author(s):  
Weihai Sun ◽  
Lemei Han
Keyword(s):  
Fault Detection ◽  
Signal Analysis ◽  
Energy Analysis ◽  
Detection Method ◽  
Sound Signal ◽  
Practical Significance ◽  
Time Frequency ◽  
Detection Approach ◽  
Machine Fault ◽  
Learning Data

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.

Diagnostic System of Gravitational Solid Flow Based on Weight and Accelerometer Signal Analysis Using Wireless Data Transmission Technology

2012 ◽  
Vol 17 (4) ◽  
pp. 319-326 ◽  
Author(s):  
Zbigniew Chaniecki ◽  
Krzysztof Grudzień ◽  
Tomasz Jaworski ◽  
Grzegorz Rybak ◽  
Andrzej Romanowski ◽  
...  
Keyword(s):  
Signal Analysis ◽  
Scale Up ◽  
Three Dimensional ◽  
Diagnostic System ◽  
Wireless Data ◽  
Stick Slip ◽  
Wireless Data Transmission ◽  
Accelerometer Signal ◽  
Flow Investigation ◽  
Material Information

Abstract The paper presents results of the scale-up silo flow investigation in based on accelerometer signal analysis and Wi-Fi transmission, performed in distributed laboratory environment. Prepared, by the authors, a set of 8 accelerometers allows to measure a three-dimensional acceleration vector. The accelerometers were located outside silo, on its perimeter. The accelerometers signal changes allowed to analyze dynamic behavior of solid (vibrations/pulsations) at silo wall during discharging process. These dynamic effects are caused by stick-slip friction between the wall and the granular material. Information about the material pulsations and vibrations is crucial for monitoring the interaction between silo construction and particle during flow. Additionally such spatial position of accelerometers sensor allowed to collect information about nonsymmetrical flow inside silo.

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