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Research on pre-processing of unbalance signal under the limited data acquisition time
by
Cai, Ping
, Qi, Wei
, Zhao, Dingding
in
Accuracy
/ Bees
/ Circuits
/ Design engineering
/ Distribution engineering
/ Disturbances
/ Electrical & electronic engineering
/ Energy
/ Engineering
/ Machinery
/ Mathematical models
/ Methods
/ Noise
/ Sensors
/ Signal processing
/ Spectra
/ Spectrum allocation
/ Unbalance
/ Vibration
/ Wavelet transforms
2013
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Research on pre-processing of unbalance signal under the limited data acquisition time
by
Cai, Ping
, Qi, Wei
, Zhao, Dingding
in
Accuracy
/ Bees
/ Circuits
/ Design engineering
/ Distribution engineering
/ Disturbances
/ Electrical & electronic engineering
/ Energy
/ Engineering
/ Machinery
/ Mathematical models
/ Methods
/ Noise
/ Sensors
/ Signal processing
/ Spectra
/ Spectrum allocation
/ Unbalance
/ Vibration
/ Wavelet transforms
2013
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Research on pre-processing of unbalance signal under the limited data acquisition time
by
Cai, Ping
, Qi, Wei
, Zhao, Dingding
in
Accuracy
/ Bees
/ Circuits
/ Design engineering
/ Distribution engineering
/ Disturbances
/ Electrical & electronic engineering
/ Energy
/ Engineering
/ Machinery
/ Mathematical models
/ Methods
/ Noise
/ Sensors
/ Signal processing
/ Spectra
/ Spectrum allocation
/ Unbalance
/ Vibration
/ Wavelet transforms
2013
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Research on pre-processing of unbalance signal under the limited data acquisition time
Journal Article
Research on pre-processing of unbalance signal under the limited data acquisition time
2013
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Overview
Purpose
– The purpose of this paper is to propose a method to remit or mitigate deterioration resulting from the influence of short data length to existing signal extracting methods.
Design/methodology/approach
– Careful design of the pre-filtering circuits to refrain most of the noise and disturbance and remove the influence of operation speed of the concerned balancing machine. Based on the analysis on the spectral feature of the unbalance vibration signal, a pre-filtering circuit is designed, then the signal extension method based on AR prediction model are discussed and used to prolong sampled signal.
Findings
– With the extension method, sampled signal can be extended to required length to enhance the performance of refraining nearby frequency disturbance. The results of simulation and field experiments demonstrate the feasibility of the presented extension method.
Practical implications
– Improved measurement efficiency of balancing machine and provided a method to trade off between measurement accuracy and measurement efficiency.
Originality/value
– The paper presents a way to improve extraction accuracy and frequency resolution with limited cycles of unbalance vibration signal.
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