CN107643180A - High-speed low temperature turbine pump retainer method for diagnosing faults based on wavelet analysis - Google Patents
High-speed low temperature turbine pump retainer method for diagnosing faults based on wavelet analysis Download PDFInfo
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- CN107643180A CN107643180A CN201610579755.0A CN201610579755A CN107643180A CN 107643180 A CN107643180 A CN 107643180A CN 201610579755 A CN201610579755 A CN 201610579755A CN 107643180 A CN107643180 A CN 107643180A
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Abstract
The invention belongs to oxyhydrogen engine turbine pump fault diagnosis technology field, and in particular to a kind of high-speed low temperature turbine pump retainer method for diagnosing faults based on wavelet analysis.Comprise the following steps：Step 1：By the structural parameters of bearing and the state that operated at that time, theoretical calculation obtains rolling bearing retainer fault characteristic frequency；Step 2：Fast Fourier analysis are carried out to turbine pump vibration signal, obtain the substantially frequency distribution situation of vibration signal；Step 3：Select wavelet basis function so that the characteristic frequency to be analyzed avoids the occurrence of frequency and mix phenomenon near the centre frequency of appropriate frequency range；Discrete wavelet analysis is carried out to turbine pump vibration signal；Step 4：Short-time Fourier analysis is carried out to the frequency range where retainer fault characteristic frequency.The present invention analyzes and processes with wavelet analysis with the method that Short Time Fourier Analysis is combined to turbine pump vibration signal, realizes and high-speed low temperature turbine pump rolling bearing retainer is monitored.
Description
Technical field
The invention belongs to oxyhydrogen engine turbine pump fault diagnosis technology field, and in particular to a kind of based on wavelet analysis
High-speed low temperature turbine pump retainer method for diagnosing faults.
Background technology
Turbine pump is operated under extreme physical condition as one of part crucial in hydrogen-oxygen rocket, and with height
Speed, high pressure, high flow capacity and high-power feature.In oxyhydrogen engine turbine pump configuration, high-speed low temperature rolling bearing, especially
Its retainer, it is one of incident critical piece of failure.High-speed low temperature rolling bearing be in high speed, low temperature, high pressure, sealing
Working environment.
Under normal circumstances, the sensor that turbine pump vibration is monitored on oxyhydrogen engine is arranged in turbine pump case, so
The background noise environment for causing the vibration signal of collection to include large amount of complex.Moreover, high-speed low temperature rolling bearing retainer, because of it
For material using the relatively weak nonmetallic materials of intensity and rigidity, then its fault characteristic frequency vibration level is smaller, compares appearance
Easily it is buried under the background noise of complexity.
Using the fault diagnosis technology of routine, the fault characteristic frequency of high-speed low temperature retainer is difficult to be identified
Come, and then the effect differentiated to hydrogen turbopump retainer health status can be influenceed.
The content of the invention
It is an object of the invention to provide a kind of high-speed low temperature turbine pump retainer failure based on wavelet analysis to examine
Disconnected method, realize that accurately and effectively health status differentiates to high-speed low temperature turbine pump rolling bearing retainer.
To reach above-mentioned purpose, the technical solution used in the present invention is：
A kind of high-speed low temperature turbine pump retainer method for diagnosing faults based on wavelet analysis, comprises the following steps：
Step 1：By the structural parameters of bearing and the state that operated at that time, theoretical calculation obtains rolling bearing retainer
Fault characteristic frequency；
In formula：F represents retainer fault characteristic frequency；D represents rolling element diameter；D represents pitch diameter；α represents contact
Angle, the angle for the line in common point of contact and the center of circle with vertical line；N represents axle frequency；
Step 2：Fast Fourier analysis are carried out to turbine pump vibration signal, obtain the substantially frequency distribution of vibration signal
Situation；
Step 3：Result based on step 1 and step 2, select wavelet basis function so that the characteristic frequency to be analyzed
Near the centre frequency of appropriate frequency range, avoid the occurrence of frequency and mix phenomenon；Discrete wavelet analysis is carried out to turbine pump vibration signal；
Step 4：Short-time Fourier analysis is carried out to the frequency range where retainer fault characteristic frequency, extracts it exactly
Fault characteristic frequency, realize and the development trend of retainer fault characteristic frequency is effectively monitored, to differentiate high-speed low temperature
The health status of turbine pump rolling bearing.
Db16 wavelet basis functions are selected, 7 layer scattering wavelet analysises are carried out to vibration signal, obtain 7 radio-frequency components and 1
It is 625Hz~312Hz that low-frequency component, wherein d6 frequency ranges, which include frequency, and the fault characteristic frequency of retainer is in this frequency range.
Having the beneficial effect that acquired by the present invention：
The present invention divides turbine pump vibration signal with wavelet analysis with the method that Short Time Fourier Analysis is combined
Analysis is handled, and realizes and high-speed low temperature turbine pump rolling bearing retainer is monitored.The present invention is applied to more Upper Stages
And the health status of high thrust oxyhydrogen engine high-speed low temperature turbine pump rolling bearing retainer differentiates.Certain model Upper Stage,
In certain model high thrust oxyhydrogen engine high-speed low temperature turbine pump 6 fracture defect of rolling bearing retainer, using the present invention's
Method for diagnosing faults 100% is successfully diagnosed to be.The present invention turns into oxyhydrogen engine high-speed low temperature turbine pump rolling bearing retainer
The Main Means that health status differentiates.
Brief description of the drawings
Fig. 1 is the high-speed low temperature turbine pump retainer method for diagnosing faults flow chart based on wavelet analysis；
Fig. 2 is turbine pump vibration signal fast Fourier analysis figure；
Fig. 3 is turbine pump vibration signal discrete wavelet analysis chart；
Fig. 4 is turbine pump vibration signal d6 frequency range Short-time Fourier analysis charts when retainer does not break down；
Turbine pump vibration signal d6 frequency range Short-time Fourier analysis charts when Fig. 5 breaks down for retainer.
Embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.
As shown in figure 1, the high-speed low temperature turbine pump retainer fault diagnosis side of the present invention based on wavelet analysis
Method comprises the following steps：
Step 1：By the structural parameters of bearing and the state that operated at that time, theoretical calculation obtains rolling bearing retainer
Fault characteristic frequency；
In formula：F represents retainer fault characteristic frequency；D represents rolling element diameter；D represents pitch diameter；α represents contact
Angle, the angle for the line in common point of contact and the center of circle with vertical line；Z represents rolling element number；N represents axle frequency.
Step 2：Fast Fourier analysis are carried out to turbine pump vibration signal, obtain the substantially frequency distribution of vibration signal
Situation；
Step 3：Result based on step 1 and step 2, selects suitable wavelet basis function so that the spy to be analyzed
Frequency is levied near the centre frequency of appropriate frequency range, frequency is avoided the occurrence of and mixes phenomenon.Turbine pump vibration signal is carried out discrete small
Wave analysis；
Step 4：Short-time Fourier analysis is carried out to the frequency range where retainer fault characteristic frequency, extracts it exactly
Fault characteristic frequency, realize and the development trend of retainer fault characteristic frequency is effectively monitored, to differentiate high-speed low temperature
The health status of turbine pump rolling bearing.
The structural parameters of certain the model oxyhydrogen engine turbine pump high-speed low temperature rolling bearing of table 1
The geometrical structure parameter that rotational frequency with reference to turbine pump work is about n=1100Hz with the bearing of table 1, can be with
Obtain table 2.
The high-speed low temperature rolling bearing retainer fault characteristic frequency of table 2
| Contact angle α/° | 17 | 18 | 19 | 20 |
| Failure-frequency f/Hz | 443.3 | 443.9 | 444.5 | 445.2 |
Turbine pump turbine end vibration signal is analyzed and processed with fast Fourier analysis, obtains vibration signal frequency
Substantially distribution situation, see Fig. 2.
With reference to high-speed low temperature turbine pump retainer fault characteristic frequency and vibration signal fast Fourier analysis situation,
The present invention selects db16 wavelet basis functions.7 layer scattering wavelet analysises are carried out to this section of vibration signal, obtain 7 radio-frequency components and 1
Individual low-frequency component, is shown in Fig. 3.It is 625Hz~312Hz that wherein d6 frequency ranges, which include frequency, and the fault characteristic frequency of retainer is just herein
Frequency range.Fig. 4, Fig. 5 can be obtained by carrying out analysis to this frequency range with Short-time Fourier analysis.
Claims (2)
- A kind of 1. high-speed low temperature turbine pump retainer method for diagnosing faults based on wavelet analysis, it is characterised in that：Including Following steps：Step 1：By the structural parameters of bearing and the state that operated at that time, theoretical calculation obtains rolling bearing retainer failure Characteristic frequency；<mrow> <mi>f</mi> <mo>=</mo> <mfrac> <mi>n</mi> <mn>2</mn> </mfrac> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <mi>d</mi> <mi> </mi> <mi>c</mi> <mi>o</mi> <mi>s</mi> <mi>&alpha;</mi> <mo>/</mo> <mi>D</mi> <mo>)</mo> </mrow> </mrow>In formula：F represents retainer fault characteristic frequency；D represents rolling element diameter；D represents pitch diameter；α represents contact angle, is Angle of the line in point of contact and the center of circle with vertical line altogether；N represents axle frequency；Step 2：Fast Fourier analysis are carried out to turbine pump vibration signal, obtain the substantially frequency distribution situation of vibration signal；Step 3：Result based on step 1 and step 2, select wavelet basis function so that the characteristic frequency to be analyzed is suitable Near the centre frequency of frequency range, avoid the occurrence of frequency and mix phenomenon；Discrete wavelet analysis is carried out to turbine pump vibration signal；Step 4：Short-time Fourier analysis is carried out to the frequency range where retainer fault characteristic frequency, extracts its failure exactly Characteristic frequency, realize and the development trend of retainer fault characteristic frequency is effectively monitored, to differentiate high-speed low temperature turbine The health status of pump rolling bearing.
- 2. the high-speed low temperature turbine pump retainer method for diagnosing faults according to claim 1 based on wavelet analysis, It is characterized in that：Select db16 wavelet basis functions, to vibration signal carry out 7 layer scattering wavelet analysises, obtain 7 radio-frequency components with It is 625Hz~312Hz that 1 low-frequency component, wherein d6 frequency ranges, which include frequency, and the fault characteristic frequency of retainer is in this frequency range.
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Cited By (3)
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| CN109635468A (en) * | 2018-12-18 | 2019-04-16 | 太原理工大学 | A kind of angular contact ball bearing cage stability prediction method |
| WO2019153388A1 (en) * | 2018-02-12 | 2019-08-15 | 大连理工大学 | Power spectral entropy random forest-based aeroengine rolling bearing fault diagnosis method |
| WO2019200624A1 (en) * | 2018-04-20 | 2019-10-24 | 江苏大学 | Comprehensive evaluation method for pump flow induced vibration performance |
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Application publication date: 20180130 |