Unusual mechanism of emission of vibratory signals in pygmy grasshoppers Tetrix tenuicornis (Sahlberg, 1891) (Orthoptera: Tetrigidae)

2020 ◽  
Vol 107 (2) ◽  
Author(s):  
Alexander Benediktov ◽  
Olga Korsunovskaya ◽  
Alexey Polilov ◽  
Rustem Zhantiev
Keyword(s):  
Vibratory Signals

Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals

2016 ◽  
Vol 76-77 ◽  
pp. 283-293 ◽  
Author(s):  
Chuan Li ◽  
René-Vinicio Sanchez ◽  
Grover Zurita ◽  
Mariela Cerrada ◽  
Diego Cabrera ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Random Forest ◽  
Vibratory Signals

Advanced detection of rolling bearing spalling from de-noising vibratory signals

2004 ◽  
Vol 12 (2) ◽  
pp. 181-190 ◽  
Author(s):  
F. Bolaers ◽  
O. Cousinard ◽  
P. Marconnet ◽  
L. Rasolofondraibe
Keyword(s):  
Rolling Bearing ◽  
Vibratory Signals

Chemical and vibratory signals used in alarm communication in the termite Reticulitermes flavipes (Rhinotermitidae)

2018 ◽  
Vol 66 (2) ◽  
pp. 265-272 ◽  
Author(s):  
O. Delattre ◽  
J. Šobotník ◽  
V. Jandák ◽  
J. Synek ◽  
J. Cvačka ◽  
...  
Keyword(s):  
Reticulitermes Flavipes ◽  
Alarm Communication ◽  
Vibratory Signals

Chapter 11 Use of Vibratory Signals for Stink Bug Monitoring and Control

Stink Bugs ◽  
2017 ◽  
pp. 226-245 ◽  
Author(s):  
Raul Alberto Laumann ◽  
Douglas Henrique Bottura Maccagnan ◽  
Andrej Coki
Keyword(s):  
Stink Bug ◽  
Monitoring And Control ◽  
And Control ◽  
Vibratory Signals

The Wavelet Analysis and Processing of Weak Vibration Signal

2011 ◽  
Vol 189-193 ◽  
pp. 1426-1431
Author(s):  
Ze Ning Xu ◽  
Hong Yu Liu ◽  
Yong Guo Zhang
Keyword(s):  
Fault Diagnosis ◽  
Wavelet Analysis ◽  
Signal To Noise Ratio ◽  
Vibration Signal ◽  
Basic Feature ◽  
Wavelet Function ◽  
Fault Analysis ◽  
Bearing Fault Diagnosis ◽  
Gear Fault ◽  
Vibratory Signals

Signal measuring is an important link in machine fault diagnosis. Accurate and reliable fault signals can be achieved by reasonable signal measuring. When the distance between sensor and measuring gear or bearing is comparatively far, the collected signals became weak and disturbed by other vibratory signals in equipments on bearing and gear fault analysis. Useful signals often were submerged in powerful noise, so caused difficult in extracting fault feature. In this paper, according to the feature of vibratory signals in machine test, wavelet analysis basic theory was applied on researching basic feature of wavelet analysis. By selecting suitable wavelet function and applying wavelet elimination noise technology the signal to noise ratio of signal was raised, thus the vibratory impact component can be measured in weak signals. Finally, wavelet analysis was applied on bearing fault diagnosis.

Examining Change Sensitivity to Vibrotactile Beats in a Hand-Held Touchscreen Device

2017 ◽  
Vol 61 (1) ◽  
pp. 1569-1569
Author(s):  
Youngbo Suh ◽  
Thomas K. Ferris
Keyword(s):  
Input Signal ◽  
Beat Frequency ◽  
Vibrotactile Feedback ◽  
Perceptual Ability ◽  
Sinusoidal Signals ◽  
The Difference ◽  
Touchscreen Device ◽  
Vibratory Signals

While recent research has employed vibrotactile feedback as a means of communication, one novel form of vibrotactile feedback involves the generation of “beats”. They are amplitude-modulated vibratory signals that can be created by sending multiple sinusoidal signals at dissonant frequencies (Lim, Kyung, & Kwon, 2012; Yang et al., 2014). The resulting perception of a rising-and-falling amplitude signal (a single “beat”), can be characterized per unit time as beat frequency, which is a function of the difference between the two input signal frequencies. Although vibrotactile beat cues have potentials in better supporting multitasking contexts that are visually demanding, the fundamental psychophysical characteristics of absolute and difference sensitivities have not been well-studied. To build on the promising but sparse findings involving the application of vibrotactile beats, it is important to define the limits of human perceptual ability to differentiate vibrotactile beats at distinct beat frequencies.

Structural Health Monitoring of Aerospace Structures with Sol-Gel Spray Sensors

2007 ◽  
Vol 347 ◽  
pp. 505-510 ◽  
Author(s):  
Abdelhakim Ouahabi ◽  
Marc Thomas ◽  
Makiko Kobayashi ◽  
Cheng Kuei Jen
Keyword(s):  
Numerical Simulation ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Sol Gel ◽  
Metallic Plate ◽  
New Approach ◽  
Specific Location ◽  
Structural Health ◽  
Spray Technique ◽  
Vibratory Signals

A new approach is proposed for conducting structural health monitoring, based on newly developed piezoceramic sensors. They are fabricated by a sol-gel spray technique. The potential application of these sensors may be broad. These sensors have been evaluated for structural health monitoring studies. The purpose of the present study aims the detection and the localization of defects by the means of these new piezoceramic sensors. Nine sensors were integrated onto a metallic plate with moving masses. The plate was excited by an impact at a specific location and the vibratory signals from sensors were recorded simultaneously. The analysis of signals obtained from nine locations was correlated with a numerical simulation in order to identify at each time the location of the mass.

Sign in / Sign up

Export Citation Format

Share Document