CN106017925B - Bearing of conveyor idler method for diagnosing faults is stored in revolution based on WAVELET PACKET DECOMPOSITION - Google Patents
Bearing of conveyor idler method for diagnosing faults is stored in revolution based on WAVELET PACKET DECOMPOSITION Download PDFInfo
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- CN106017925B CN106017925B CN201610304684.3A CN201610304684A CN106017925B CN 106017925 B CN106017925 B CN 106017925B CN 201610304684 A CN201610304684 A CN 201610304684A CN 106017925 B CN106017925 B CN 106017925B
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- bearing
- conveyor idler
- wavelet packet
- revolution
- vibration signal
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/04—Bearings
- G01M13/045—Acoustic or vibration analysis
Abstract
The invention discloses the revolutions based on WAVELET PACKET DECOMPOSITION to store bearing of conveyor idler method for diagnosing faults, the steps include: to establish bearing diagnosis model, classifies according to the case where actual motion to bearing fault；Obtain the vibration signal of bearing；To vibration signal denoising；Parcel basic function is chosen, 4 layers of WAVELET PACKET DECOMPOSITION and reconstruct are carried out to resulting each vibration signal, extract the signal of each frequency range；It seeks the 4th layer of Wavelet Packet Frequency Band Energy of the vibration signal after decomposing and calculates its maximum value, using this frequency band as characteristic component；Hilbert Modulation analysis is carried out to characteristic component, obtains the envelope spectrogram of modulated signal；The corresponding envelope spectrogram of bearing normal operating condition is compared, determines bearing fault type and abort situation.Bearing of conveyor idler method for diagnosing faults is stored in revolution provided by the invention based on WAVELET PACKET DECOMPOSITION, overcomes the shortcomings of that manual detection efficiency is low and detection position inaccuracy, can quickly, Accurate Diagnosis abort situation, reduce the equipment fault time, improve the rate of comprehensive utilization of equipment.
Description
Technical field
The present invention relates to Fault Diagnosis of Construction Machinery fields, more particularly to bearing of conveyor idler is stored in the revolution based on WAVELET PACKET DECOMPOSITION
Method for diagnosing faults.
Background technique
Revolution cellar belongs to building equipment, according to processing material difference be divided into cement revolution cellar, chemical metallurgy revolution cellar and
Lime revolution cellar.Revolution cellar is mainly made of components such as transmission device, cylinder, support device and movable kiln hoods.
Since rotary kiln is sealing structure, overall structure is many and diverse, is not available the accurate diagnosis side such as founding mathematical models
Method trouble-shooting point, has carried out certain difficulty to the diagnosis of failure.
The fault type of rotary kiln is more, and many fault type features are more fuzzy, it is difficult to differentiate and quickly processing in time；
In most cases, it needs manually to be detected, excludes mechanical breakdown one by one.
Since manual detection efficiency is not high, the utilization rate at revolution cellar is influenced, and some failures not can be carried out effective prevention,
The comprehensive utilization ratio for influencing revolution cellar causes certain economic loss to the user at revolution cellar.
Summary of the invention
The purpose of the present invention is in view of the above technical problems, provide the revolution cellar bearing of conveyor idler event based on WAVELET PACKET DECOMPOSITION
Hinder diagnostic method, overcomes the shortcomings of that manual detection efficiency is low and detection position is inaccurate, it being capable of quick, Accurate Diagnosis fault bit
It sets, improves efficiency of fault diagnosis, reduce the equipment fault time, improve the rate of comprehensive utilization of equipment.
Technical solution of the present invention
In order to solve the above technical problems, bearing of conveyor idler fault diagnosis is stored in the revolution provided by the invention based on WAVELET PACKET DECOMPOSITION
The step of method, the diagnostic method are as follows:
S1: revolution cellar bearing of conveyor idler diagnostic model is established, is classified according to the case where actual motion to bearing fault；
S2: the vibration signal x (t) of revolution cellar bearing of conveyor idler is obtained；
S3: denoising is carried out to vibration signal；
S4: choosing parcel basic function, carries out 4 layers of WAVELET PACKET DECOMPOSITION and reconstruct to resulting each vibration signal, extracts each
The signal of a frequency range；
S5: the 4th layer of Wavelet Packet Frequency Band Energy of the vibration signal after decomposing is sought, calculates its maximum value, and this frequency band is made
For characteristic component to be analyzed；
S6: Hilbert Modulation analysis is carried out to the characteristic component in step S5, obtains the envelope of Hilbert modulated signal
Spectrogram；
S7: bearing of conveyor idler corresponding envelope spectrogram in comparison revolution cellar determines revolution cellar bearing of conveyor idler fault type and failure
Position.
It is further preferred that the cellar bearing of conveyor idler failure of revolution described in step S1 totally two class, be bearing inner race failure,
Bearing outer ring failure.
It is further preferred that the denoising method of vibration signal described in step S3 is soft-threshold Wavelet noise-eliminating method.
It is further preferred that being { x after vibration signal x (t) WAVELET PACKET DECOMPOSITION described in step S4j,m(i)}；Wherein, j is
The number of decomposition, m are the position number of wavelet packet, the 2k that takes 1,2,3 ... ....
It is further preferred that the calculation formula of frequency band energy described in step S5 is
The invention has the advantages that:
Bearing of conveyor idler method for diagnosing faults is stored in revolution provided by the invention based on WAVELET PACKET DECOMPOSITION, and artificial detection is overcome to imitate
Rate it is low and detection position inaccuracy deficiency, can quickly, Accurate Diagnosis abort situation, improve efficiency of fault diagnosis, reduction
The equipment fault time improves the rate of comprehensive utilization of equipment.
Detailed description of the invention
Fig. 1 is flow chart of the invention；
Fig. 2 is vibration signal time domain waveform when revolution cellar bearing of conveyor idler operates normally；
Fig. 3 is the waveform diagram of vibration signal WAVELET PACKET DECOMPOSITION and reconstruct when revolution cellar bearing of conveyor idler operates normally；
Fig. 4 is the energy point of each frequency band after four layers of WAVELET PACKET DECOMPOSITION of vibration signal when revolution cellar bearing of conveyor idler operates normally
Cloth；
Fig. 5 is the envelope spectrogram of vibration signal Hilbert modulation when revolution cellar bearing of conveyor idler operates normally；
Vibration signal time domain waveform when Fig. 6 is revolution cellar bearing of conveyor idler inner ring failure；
The waveform diagram of vibration signal WAVELET PACKET DECOMPOSITION and reconstruct when Fig. 7 is revolution cellar bearing of conveyor idler inner ring failure；
The energy of each frequency band divides after four layers of WAVELET PACKET DECOMPOSITION of vibration signal when Fig. 8 is revolution cellar bearing of conveyor idler inner ring failure
Cloth；
The envelope spectrogram of vibration signal Hilbert modulation when Fig. 9 is revolution cellar bearing of conveyor idler inner ring failure；
Vibration signal time domain waveform when Figure 10 is revolution cellar bearing of conveyor idler outer ring failure；
The waveform diagram of vibration signal WAVELET PACKET DECOMPOSITION and reconstruct when Figure 11 is revolution cellar bearing of conveyor idler outer ring failure；
The energy of each frequency band divides after four layers of WAVELET PACKET DECOMPOSITION of vibration signal when Figure 12 is revolution cellar bearing of conveyor idler outer ring failure
Cloth；
The envelope spectrogram of vibration signal Hilbert modulation when Figure 13 is revolution cellar bearing of conveyor idler outer ring failure.
Specific embodiment
Bearing of conveyor idler failure is stored to the revolution of the invention based on WAVELET PACKET DECOMPOSITION with attached drawing combined with specific embodiments below
Diagnostic method is described in detail.
The embodiment recorded herein is specific specific embodiment of the invention, for illustrating design of the invention,
Be it is explanatory and illustrative, should not be construed as the limitation to embodiment of the present invention and the scope of the invention.Except what is recorded herein
Outside embodiment, those skilled in the art can also based on the claim of this application book and specification disclosure of that using aobvious and
The other technical solutions being clear to, these technical solutions include using any obvious to making for the embodiment recorded herein
The technical solution of substitutions and modifications.
Fig. 1 is the revolution cellar bearing of conveyor idler Troubleshooting Flowchart based on WAVELET PACKET DECOMPOSITION, specifically includes the following steps:
S1: revolution cellar bearing of conveyor idler diagnostic model is established, is classified according to the case where actual motion to bearing fault；
Specifically, bearing of conveyor idler failure totally two class is stored in the revolution, it is bearing inner race failure, bearing outer ring failure；
When establishing revolution cellar bearing of conveyor idler diagnostic model, it is also necessary to establish the operating condition that revolution cellar bearing of conveyor idler operates normally.
S2: the vibration signal x (t) of revolution cellar bearing of conveyor idler is obtained；
Specifically, vibration when obtaining revolution cellar bearing of conveyor idler normal operation, bearing inner race failure and bearing outer ring failure
Signal x (t)；Fig. 2 is vibration signal time domain waveform when revolution cellar bearing of conveyor idler operates normally, and can not determine revolution cellar by Fig. 2
Bearing of conveyor idler whether failure and fault type.
S3: denoising is carried out to vibration signal；
Specifically, the denoising method of the vibration signal is soft-threshold Wavelet noise-eliminating method.Its soft threshold function are as follows:
W indicates that wavelet coefficient, T are given threshold value, and sign (w) is sign function.
S4: choosing parcel basic function, carries out 4 layers of WAVELET PACKET DECOMPOSITION and reconstruct to resulting each vibration signal, extracts each
The signal of a frequency range；
Specifically, being { x after vibration signal x (t) WAVELET PACKET DECOMPOSITIONj,m(i)}；Wherein, j is the number decomposed, and m is
The position number of wavelet packet, the 2k that takes 1,2,3 ... ....
Fig. 3 is the waveform diagram of vibration signal WAVELET PACKET DECOMPOSITION and reconstruct when revolution cellar bearing of conveyor idler operates normally；Fig. 4 is back
Turn the Energy distribution of each frequency band after four layers of WAVELET PACKET DECOMPOSITION of vibration signal when cellar bearing of conveyor idler operates normally, as shown in Figure 4, four layers
The energy size of each frequency band after wavelet decomposition.
S5: the 4th layer of Wavelet Packet Frequency Band Energy of the vibration signal after decomposing is sought, calculates its maximum value, and this frequency band is made
For characteristic component to be analyzed；
Specifically, the calculation formula of the frequency band energy isIts maximum value is sharp in MATLAB
It is solved with Max (E (m)).
S6: Hilbert Modulation analysis is carried out to the characteristic component in step S5, obtains the envelope of Hilbert modulated signal
Spectrogram；
Fig. 5 is the envelope spectrogram of vibration signal Hilbert modulation when revolution cellar bearing of conveyor idler operates normally, most to energy
Big frequency band carries out obtained by Envelope Analysis, as shown in Figure 5 after carrying out Hilbert transformation: when revolution cellar bearing of conveyor idler operates normally,
Energy distribution difference in each frequency band increases, and from envelope spectrogram it is found that 0 amplitude maximum appears in the lower position of frequency,
Using this frequency and amplitude as the mark for differentiating normal condition.
S7: the corresponding envelope spectrogram of cellar bearing of conveyor idler normal operating condition is turned round in comparison, determines the bearing of conveyor idler event of revolution cellar
Hinder type and abort situation.
The envelope spectrogram of vibration signal Hilbert modulation when Fig. 9 is revolution cellar bearing of conveyor idler inner ring failure, revolution cellar support roller
When bearing inner race failure, Energy distribution difference in each frequency band is increased, and with bearing normal condition or bearing outer ring failure shape
Distributional difference under state is obvious, and from envelope spectrogram it is found that amplitude frequency is lower and the place 1000Hz obviously, this with other two kinds
There are notable differences for state, using this frequency and amplitude as the mark of differentiation bearing inner race failure.
Envelope spectrogram obtained by Fig. 9 as a result, it is desirable to from step S1 to step S7.Fig. 6 is the bearing of conveyor idler inner ring event of revolution cellar
Vibration signal time domain waveform when barrier can not determine location of fault by Fig. 6；To the vibration signal time domain waveform in Fig. 6 into
Row WAVELET PACKET DECOMPOSITION obtains Fig. 7, vibration signal WAVELET PACKET DECOMPOSITION and reconstruct when Fig. 7 is revolution cellar bearing of conveyor idler inner ring failure
Waveform diagram；Fig. 8 is the Energy distribution of each frequency band after four layers of WAVELET PACKET DECOMPOSITION of vibration signal when bearing of conveyor idler inner ring failure is stored in revolution,
It can be seen that the energy size of four layers of each frequency band of WAVELET PACKET DECOMPOSITION, at this point it is possible to corresponding with revolution cellar bearing of conveyor idler normal condition
Energy maximum band comparison；The envelope spectrum of vibration signal Hilbert modulation when Fig. 9 is revolution cellar bearing of conveyor idler inner ring failure
Figure, there are significant differences for envelope diagram corresponding with revolution cellar bearing of conveyor idler normal condition, can sentence from its power spectral energies
Disconnected bearing inner race failure.
The envelope spectrogram of vibration signal Hilbert modulation when Figure 13 is revolution cellar bearing of conveyor idler outer ring failure, revolution cellar support
When wheel shaft bearing outer-ring failure, the Energy distribution difference in each frequency band is increased, and obvious with the distributional difference under normal condition；From
Envelope spectrogram it is found that amplitude maximum frequency 50Hz and 800Hz present in, it is obvious compared with changing under normal condition, with this frequency
And amplitude is as the mark for differentiating bearing outer ring failure.
Envelope spectrogram obtained by Figure 13 as a result, also needing from step S1 to step S7.Figure 10 is revolution cellar bearing of conveyor idler
Vibration signal time domain waveform, thus schemes when the failure of outer ring, can not determine location of fault；WAVELET PACKET DECOMPOSITION is carried out to it, is obtained
It is the waveform diagram of vibration signal WAVELET PACKET DECOMPOSITION and reconstruct when bearing of conveyor idler outer ring failure is stored in revolution to Figure 11, Figure 11；Figure 12 is
Turn round the Energy distribution of each frequency band after four layers of WAVELET PACKET DECOMPOSITION of vibration signal when storing bearing of conveyor idler outer ring failure, it can be seen that four layers
The energy size of each frequency band of WAVELET PACKET DECOMPOSITION, at this point it is possible to the maximum frequency of energy corresponding with revolution cellar bearing of conveyor idler normal condition
Band comparison；The envelope spectrogram of vibration signal Hilbert modulation, is stored with revolution when Figure 13 is revolution cellar bearing of conveyor idler outer ring failure
The corresponding envelope diagram of bearing of conveyor idler normal condition may determine that it is bearing outer ring event there are significant difference from its power spectral energies
Barrier.
The difference for storing the envelope spectrogram of bearing of conveyor idler vibration signal Hilbert modulation with upper rotary by comparing, can be accurate
Determine bearing whether failure and fault type, diagnosis is quick, accurate, greatly reduces the device diagnostic time, improves diagnosis effect
Rate reduces the equipment fault time, improves the rate of comprehensive utilization of equipment.
Bearing of conveyor idler method for diagnosing faults is stored in revolution provided by the invention based on WAVELET PACKET DECOMPOSITION, and artificial detection is overcome to imitate
Rate is low and the deficiency of detection position inaccuracy, can quickly, Accurate Diagnosis abort situation, the reduction equipment fault time, raising sets
Standby comprehensive utilization ratio.
The present invention is not limited to the above-described embodiments, anyone can obtain other various forms under the inspiration of the present invention
Product, it is all that there is technical side identical or similar to the present application however, make any variation in its shape or structure
Case is within the scope of the present invention.
Claims (4)
1. bearing of conveyor idler method for diagnosing faults is stored in revolution based on WAVELET PACKET DECOMPOSITION, which is characterized in that the step of the diagnostic method
Are as follows:
S1: revolution cellar bearing of conveyor idler diagnostic model is established, is classified according to the case where actual motion to bearing fault；
S2: the vibration signal x (t) of revolution cellar bearing of conveyor idler is obtained；
S3: carrying out denoising to vibration signal using soft-threshold Wavelet noise-eliminating method,
The soft threshold function are as follows:
W indicates that wavelet coefficient, T are given threshold value, and sign (w) is sign function；
S4: choosing parcel basic function, carries out 4 layers of WAVELET PACKET DECOMPOSITION and reconstruct to resulting each vibration signal, extracts each frequency
Signal with range；
S5: seeking the 4th layer of Wavelet Packet Frequency Band Energy of the vibration signal after decomposing, calculate its maximum value, and using this frequency band as to
The characteristic component of analysis；
S6: Hilbert Modulation analysis is carried out to the characteristic component in step S5, obtains the envelope spectrogram of Hilbert modulated signal；
S7: bearing of conveyor idler corresponding envelope spectrogram in comparison revolution cellar determines revolution cellar bearing of conveyor idler fault type and abort situation.
2. bearing of conveyor idler method for diagnosing faults is stored in the revolution according to claim 1 based on WAVELET PACKET DECOMPOSITION, feature exists
In bearing of conveyor idler failure totally two class is stored in revolution described in step S1, is bearing inner race failure, bearing outer ring failure.
3. bearing of conveyor idler method for diagnosing faults is stored in the revolution according to claim 1 based on WAVELET PACKET DECOMPOSITION, feature exists
In, after vibration signal x (t) WAVELET PACKET DECOMPOSITION described in step S4 be { xj,m(i)}；Wherein, j is the number decomposed, and m is small echo
The position number of packet, the 2k that takes 1,2,3 ... ....
4. bearing of conveyor idler method for diagnosing faults is stored in the revolution according to claim 1 based on WAVELET PACKET DECOMPOSITION, feature exists
In the calculation formula of frequency band energy described in step S5 is
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| CN107153748A (en) * | 2017-06-07 | 2017-09-12 | 北京信息科技大学 | Based on weighting core pivot element analysis（WKPCA）Rotary kiln method for diagnosing faults |
| CN107202952A (en) * | 2017-07-06 | 2017-09-26 | 北京信息科技大学 | Rotary kiln method for diagnosing faults, fault diagnosis GUI and system based on wavelet neural network |
| CN108776031A (en) * | 2018-03-21 | 2018-11-09 | 南京航空航天大学 | A kind of rotary machinery fault diagnosis method based on improved synchronous extruding transformation |
| CN108458875A (en) * | 2018-04-10 | 2018-08-28 | 上海应用技术大学 | A kind of method for diagnosing faults of supporting roller of rotary kiln bearing |
| CN110057583A (en) * | 2019-03-01 | 2019-07-26 | 西人马(西安)测控科技有限公司 | A kind of bearing fault recognition methods, device and computer equipment |
| CN110530623A (en) * | 2019-09-12 | 2019-12-03 | 天津华春智慧能源科技发展有限公司 | Fault diagnosis method applied to heat exchange unit |
| CN113739567B (en) * | 2021-07-28 | 2023-01-03 | 西安交通大学 | Method and system for evaluating state of rotary kiln body |
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