Relationship between Carrot Firmness with Acoustic Signal Characteristics

2016 ◽  
Vol 40 (2) ◽  
pp. e12384 ◽  
Author(s):  
Yang Liu ◽  
Yong-Hai Sun ◽  
Liu Yang ◽  
Li-Bo Yu ◽  
Qian Mao ◽  
...  
Keyword(s):  
Acoustic Signal ◽  
Signal Characteristics

Time dependences of acoustic signal characteristics during fracture of metal samples

2015 ◽  
Vol 462 (1) ◽  
pp. 475-478 ◽  
Author(s):  
L. R. Botvina ◽  
T. B. Petersen ◽  
A. P. Soldatenkov ◽  
M. R. Tyutin
Keyword(s):  
Acoustic Signal ◽  
Signal Characteristics

Application Study on of Wavelet Analysis during Compression Ruptrue Procedure of Coal Sample

2012 ◽  
Vol 616-618 ◽  
pp. 2182-2186
Author(s):  
Rui Ma ◽  
Tian Jun Zhang ◽  
Bao Ming Qiao
Keyword(s):  
Wavelet Analysis ◽  
Uniaxial Compression ◽  
Acoustic Signal ◽  
Original Data ◽  
Compression Process ◽  
Application Study ◽  
Signal Characteristics ◽  
Frequency Changes ◽  
Wavelet Transform Modulus Maximum ◽  
Ae Counts

This paper study the acoustic signal characteristics of coal and rock mass under uniaxial compression by the tests of acoustic emission(AE),which obtain the variation of AE counts and energy.Compressing on original data use wavelet analysis,and extracting the characteristics of signal with the wavelet sym-basis,then decomposing and remodeling the wavelet coefficients,the negative singularity degree indicators of adjacent scales can be got.The results showed that the wavelet transform modulus maximum used to identify the negative singularity degree can achieve the position of the frequency changes point of the acoustic signal,which is of certain guiding significance for prediction of the uniaxial compression process.

Vibration and acoustic signal characteristics of solid particles carried in sand-water two-phase flows

2019 ◽  
Vol 345 ◽  
pp. 159-168 ◽  
Author(s):  
Kai Wang ◽  
Gang Liu ◽  
Yichen Li ◽  
Min Qin ◽  
Jinbang Wang ◽  
...  
Keyword(s):  
Acoustic Signal ◽  
Solid Particles ◽  
Two Phase Flows ◽  
Two Phase ◽  
Signal Characteristics

Acoustic Signal Characteristics Measured with the LAMBDA III During CHURCH STROKE III

1980 ◽  
Author(s):  
Istvan B. Gereben ◽  
William M. Carey ◽  
Richard D. Doolittle
Keyword(s):  
Acoustic Signal ◽  
Signal Characteristics

Based on EEMD and Multiclass Relevance Vector for High Voltage Circuit Breaker Mechanical Fault Diagnosis

2014 ◽  
Vol 960-961 ◽  
pp. 900-904
Author(s):  
Shang Chen ◽  
Wei Hua Niu ◽  
Bao Shu Li ◽  
Jie Yu
Keyword(s):  
Fault Diagnosis ◽  
High Voltage ◽  
Acoustic Signal ◽  
Circuit Breaker ◽  
Mechanical State ◽  
State Information ◽  
High Voltage Circuit Breaker ◽  
Signal Characteristics ◽  
Eemd Method ◽  
Multiple Categories

Mechanical failure of high voltage circuit breaker accounted for the largest percentage of, it is necessary to diagnosis the mechanical fault .The acoustic signal of high voltage circuit breaker contains a large number of mechanical state information, can put the acoustic signal characteristics as a basis for high voltage circuit breaker fault diagnosis. M - RVM expanding traditional RVM to multiple categories, very suitable for fault diagnosis of high voltage circuit breaker.In this paper, the M-RVM combined with EEMD method for high voltage circuit breaker mechanical fault diagnosis, the experimental results show that the method has a good diagnosis effect.

Sign in / Sign up

Export Citation Format

Share Document