CN106500827A - A kind of single channel method for separating vibration signal blind sources - Google Patents

A kind of single channel method for separating vibration signal blind sources Download PDF

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Publication number
CN106500827A
CN106500827A CN201610849744.XA CN201610849744A CN106500827A CN 106500827 A CN106500827 A CN 106500827A CN 201610849744 A CN201610849744 A CN 201610849744A CN 106500827 A CN106500827 A CN 106500827A
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China
Prior art keywords
single channel
signal
vibration signal
vibration
noise reduction
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Application number
CN201610849744.XA
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Chinese (zh)
Inventor
陈宇
刘兆瑜
温欣玲
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Zhengzhou University of Aeronautics
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Zhengzhou University of Aeronautics
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Priority to CN201610849744.XA priority Critical patent/CN106500827A/en
Publication of CN106500827A publication Critical patent/CN106500827A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
  • Soundproofing, Sound Blocking, And Sound Damping (AREA)

Abstract

The invention discloses a kind of single channel method for separating vibration signal blind sources, comprises the following steps:S1:The original single channel Vibration signal in-phase stacking in many ways that each approach is reached, then to superposition after original single channel Vibration signal carry out noise reduction process, obtain the single channel Vibration superposed signal after noise reduction;S2:Using wavelet function feedback by noise reduction after single channel Vibration superposed signal be converted into multichannel Vibration signal;S3:Using the blind source separation algorithm analysis multichannel Vibration signal based on time frequency analysis, the estimation signal of original single channel Vibration signal is obtained, it is achieved that single channel vibration signal blind sources are separated.The present invention can strengthen the signal energy of original single channel Vibration signal, and can reduce noise so that blind source separating effect preferably, effectively raises the signal to noise ratio of signal, and method is simple, easy to use, low cost.

Description

A kind of single channel method for separating vibration signal blind sources
Technical field
A kind of the present invention relates to single channel vibration signal technical field, more particularly to single channel vibration signal blind sources separation side Method.
Background technology
Blind source separating only isolates source signal from sensor observation signal, is a kind of very promising signal processing Technology, in recent years, blind source separation method is more and more applied in vibration signal processing field, according to the calculation of blind source separating itself Method is required, in vibration signal is separated, generally assumes that observation signal number not less than vibration source signal number, and this hypothesis exists Can not realize in engineering, generally observation signal number is referred to as owing fixed blind source point less than the blind source separating problem of source signal number From owing to determine blind source separation method and mainly include:Owe to determine identifying source and separation algorithm in blind separation, owing based on singular value decomposition Determine blind separating method, deficient based on potential function determines blind separating method etc., however, these algorithms existing are substantially based on source The rarefaction representation of signal, when signal openness bad when, the effect of blind source separating will be poor.
Existing single channel method for separating vibration signal blind sources can not strengthen original single channel Vibration signal mostly Signal energy, cause blind source separating DeGrain, and good de-noising effect can not be accessed, effectively improve the letter of signal Make an uproar ratio.
Content of the invention
Based on the technical problem that background technology is present, the present invention proposes a kind of single channel vibration signal blind sources separation side Method.
A kind of single channel method for separating vibration signal blind sources proposed by the present invention, comprises the following steps:
S1:The original single channel Vibration signal in-phase stacking in many ways that each approach is reached, then to superposition after original Beginning single channel Vibration signal carries out noise reduction process, obtains the single channel Vibration superposed signal after noise reduction;
S2:Using wavelet function feedback by noise reduction after single channel Vibration superposed signal be converted into multichannel vibration Observation signal;
S3:Using the blind source separation algorithm analysis multichannel Vibration signal based on time frequency analysis, original single-pass is obtained The estimation signal of road Vibration signal, it is achieved that single channel vibration signal blind sources are separated.
Preferably, in the S1, the original single channel Vibration signal in-phase stacking in many ways that each approach is reached, then Using independent component analysis method to superposition after original single channel Vibration signal carry out noise reduction process, after obtaining noise reduction Single channel Vibration superposed signal.
Preferably, in the S1, it is to use by original for many ways of each approach arrival single channel Vibration signal in-phase stacking In the signal energy for strengthening original single channel Vibration signal.
Preferably, in the S2, using interval resampling method by noise reduction after single channel Vibration superposed signal It is converted into multichannel Vibration signal.
In the present invention, a kind of single channel method for separating vibration signal blind sources is original by many ways for reaching each approach Single channel Vibration signal in-phase stacking can strengthen the signal energy of original single channel Vibration signal, by using only Vertical Component Analysis method to superposition after original single channel Vibration signal carry out noise reduction process and can effectively improve signal Signal to noise ratio, the present invention can strengthen the signal energy of original single channel Vibration signal, and can reduce noise so that blind source Separating effect preferably, effectively raises the signal to noise ratio of signal, and method is simple, easy to use, low cost.
Specific embodiment
The present invention is further explained with reference to specific embodiment.
Embodiment
The present embodiment proposes a kind of single channel method for separating vibration signal blind sources, comprises the following steps:
S1:The original single channel Vibration signal in-phase stacking in many ways that each approach is reached, then to superposition after original Beginning single channel Vibration signal carries out noise reduction process, obtains the single channel Vibration superposed signal after noise reduction;
S2:Using wavelet function feedback by noise reduction after single channel Vibration superposed signal be converted into multichannel vibration Observation signal;
S3:Using the blind source separation algorithm analysis multichannel Vibration signal based on time frequency analysis, original single-pass is obtained The estimation signal of road Vibration signal, it is achieved that single channel vibration signal blind sources are separated.
In the present embodiment, in S1, the original single channel Vibration signal in-phase stacking in many ways that each approach is reached, then Using independent component analysis method to superposition after original single channel Vibration signal carry out noise reduction process, after obtaining noise reduction Single channel Vibration superposed signal, in S1, by original for many ways of each approach arrival single channel Vibration signal in-phase stacking The signal energy for strengthening original single channel Vibration signal, in S2, using interval resampling method by noise reduction after Single channel Vibration superposed signal be converted into multichannel Vibration signal, a kind of single channel vibration signal blind sources separation side Method can strengthen original single channel vibration by the original single channel Vibration signal in-phase stacking in many ways for reaching each approach The signal energy of observation signal, by using independent component analysis method to superposition after original single channel Vibration signal enter Row noise reduction process can effectively improve the signal to noise ratio of signal, and the present invention can strengthen the signal of original single channel Vibration signal Energy, and noise can be reduced so that blind source separating effect preferably, effectively raises the signal to noise ratio of signal, and method is simple, makes With convenient, low cost.
The above, the only present invention preferably specific embodiment, but protection scope of the present invention is not limited thereto, Any those familiar with the art the invention discloses technical scope in, technology according to the present invention scheme and its Inventive concept equivalent or change in addition, should all be included within the scope of the present invention.

Claims (4)

1. a kind of single channel method for separating vibration signal blind sources, it is characterised in that comprise the following steps:
S1:The original single channel Vibration signal in-phase stacking in many ways that each approach is reached, then to superposition after original list Passage Vibration signal carries out noise reduction process, obtains the single channel Vibration superposed signal after noise reduction;
S2:Using wavelet function feedback by noise reduction after single channel Vibration superposed signal be converted into multichannel Vibration Signal;
S3:Using the blind source separation algorithm analysis multichannel Vibration signal based on time frequency analysis, obtain original single channel and shake The estimation signal of dynamic observation signal, it is achieved that single channel vibration signal blind sources are separated.
2. a kind of single channel method for separating vibration signal blind sources according to claim 1, it is characterised in that in the S1, By original for many ways of each approach arrival single channel Vibration signal in-phase stacking, then using independent component analysis method to folded Plus after original single channel Vibration signal carry out noise reduction process, obtain the single channel Vibration superposed signal after noise reduction.
3. a kind of single channel method for separating vibration signal blind sources according to claim 1, it is characterised in that in the S1, The original single channel Vibration signal in-phase stacking in many ways that each approach is reached is for strengthening original single channel Vibration The signal energy of signal.
4. a kind of single channel method for separating vibration signal blind sources according to claim 1, it is characterised in that in the S2, Using interval resampling method by noise reduction after single channel Vibration superposed signal be converted into multichannel Vibration signal.
CN201610849744.XA 2016-09-25 2016-09-25 A kind of single channel method for separating vibration signal blind sources Pending CN106500827A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107941324A (en) * 2017-10-08 2018-04-20 天津大学 A kind of method of estimation of consumer level inertia sensing unit environments noise

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030088164A1 (en) * 2001-11-02 2003-05-08 Nellcor Puritan Bennett Inc. Blind source separation of pulse oximetry signals
CN102288285A (en) * 2011-05-24 2011-12-21 南京航空航天大学 Blind source separation method for single-channel vibration signals
CN104485113A (en) * 2014-12-23 2015-04-01 长沙理工大学 Multi-fault-source acoustic emission signal separation method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030088164A1 (en) * 2001-11-02 2003-05-08 Nellcor Puritan Bennett Inc. Blind source separation of pulse oximetry signals
CN102288285A (en) * 2011-05-24 2011-12-21 南京航空航天大学 Blind source separation method for single-channel vibration signals
CN104485113A (en) * 2014-12-23 2015-04-01 长沙理工大学 Multi-fault-source acoustic emission signal separation method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
刘佳 等: ""多途环境下的单通道水声信号盲源分离"", 《振动与冲击》 *
孟宗 等: ""融合小波分解与时频分析的单通道振动信号盲分离方法"", 《中国机械工程》 *
曾向阳: "《智能水中目标识别》", 31 March 2016 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107941324A (en) * 2017-10-08 2018-04-20 天津大学 A kind of method of estimation of consumer level inertia sensing unit environments noise

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