Fault Diagnosis Method for Rolling Element Bearing by Using Quantum Theory

In order to overcome the disadvantages of traditional denosing method always reduces useful information while it removes noise,a fault diagnosis method combining quantum superposition and probability statistic applied to rolling element bearing is proposed,which uses the specific expression in quant...

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Main Authors: Li Wei, Zhang Xiao
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2018-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.09.030
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author Li Wei
Zhang Xiao
author_facet Li Wei
Zhang Xiao
author_sort Li Wei
collection DOAJ
description In order to overcome the disadvantages of traditional denosing method always reduces useful information while it removes noise,a fault diagnosis method combining quantum superposition and probability statistic applied to rolling element bearing is proposed,which uses the specific expression in quantum theory. This method utilizes Laplace mathematics statistics models to describe the dual-tree complex wavelet transform coefficient distribution of vibration signal. On the basis that the change characteristic of noise and fault information between adjacent scales is studied,then quantum superposition is employed to distinguish fault information from noise in vibration signal. The rolling element bearing signal from transmission system with fault is used to verify the validity of this proposed approach. The results reveal that this method can effectively enhance fault information while it reduces noise,thus it can extract mechanical fault information from intensive background noise.
format Article
id doaj-art-b2f41697cf2d4392b831ec2ccc3eb84f
institution Kabale University
issn 1004-2539
language zho
publishDate 2018-01-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-b2f41697cf2d4392b831ec2ccc3eb84f2025-01-10T14:40:10ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392018-01-014215415929938421Fault Diagnosis Method for Rolling Element Bearing by Using Quantum TheoryLi WeiZhang XiaoIn order to overcome the disadvantages of traditional denosing method always reduces useful information while it removes noise,a fault diagnosis method combining quantum superposition and probability statistic applied to rolling element bearing is proposed,which uses the specific expression in quantum theory. This method utilizes Laplace mathematics statistics models to describe the dual-tree complex wavelet transform coefficient distribution of vibration signal. On the basis that the change characteristic of noise and fault information between adjacent scales is studied,then quantum superposition is employed to distinguish fault information from noise in vibration signal. The rolling element bearing signal from transmission system with fault is used to verify the validity of this proposed approach. The results reveal that this method can effectively enhance fault information while it reduces noise,thus it can extract mechanical fault information from intensive background noise.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.09.030VibrationFaultQuantum superpositionStatistics model
spellingShingle Li Wei
Zhang Xiao
Fault Diagnosis Method for Rolling Element Bearing by Using Quantum Theory
Jixie chuandong
Vibration
Fault
Quantum superposition
Statistics model
title Fault Diagnosis Method for Rolling Element Bearing by Using Quantum Theory
title_full Fault Diagnosis Method for Rolling Element Bearing by Using Quantum Theory
title_fullStr Fault Diagnosis Method for Rolling Element Bearing by Using Quantum Theory
title_full_unstemmed Fault Diagnosis Method for Rolling Element Bearing by Using Quantum Theory
title_short Fault Diagnosis Method for Rolling Element Bearing by Using Quantum Theory
title_sort fault diagnosis method for rolling element bearing by using quantum theory
topic Vibration
Fault
Quantum superposition
Statistics model
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.09.030
work_keys_str_mv AT liwei faultdiagnosismethodforrollingelementbearingbyusingquantumtheory
AT zhangxiao faultdiagnosismethodforrollingelementbearingbyusingquantumtheory