CN109556895A - The failure analysis methods and device of rotating machinery - Google Patents

The failure analysis methods and device of rotating machinery Download PDF

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Publication number
CN109556895A
CN109556895A CN201811269874.1A CN201811269874A CN109556895A CN 109556895 A CN109556895 A CN 109556895A CN 201811269874 A CN201811269874 A CN 201811269874A CN 109556895 A CN109556895 A CN 109556895A
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CN
China
Prior art keywords
vibration signal
value
rotating machinery
analysis
frequency domain
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CN201811269874.1A
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Chinese (zh)
Inventor
李鸣
李一鸣
宋桂秋
王磊
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Northeastern University China
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Northeastern University China
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Priority to CN201811269874.1A priority Critical patent/CN109556895A/en
Publication of CN109556895A publication Critical patent/CN109556895A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00Subject matter not provided for in other groups of this subclass
    • 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

Abstract

The invention discloses a kind of failure analysis methods of rotating machinery and devices, are related to rotating machine art field, main purpose is to improve the accuracy rate for judging rotating machinery there are failure, to guarantee the normal safe operation of equipment.The described method includes: obtaining the vibration signal of the rotating machinery in rotating machinery stable operation;The vibration signal is analyzed, including time-domain analysis, frequency-domain analysis and analysis of orbit, and obtains temporal signatures value, frequency domain character value and the central spindle track for reacting the rotating machinery vibrating state;According to the temporal signatures value, frequency domain character value and central spindle track, judge the rotating machinery with the presence or absence of failure.

Description

The failure analysis methods and device of rotating machinery
Technical field
The present invention relates to rotating machine art fields, a kind of failure analysis methods in particular to rotating machinery and Device.
Background technique
With the raising of modern industrial production level, rotating machinery such as generating set, centrifugal compressor and water pump etc. is mechanical Equipment occupies critically important status in industrial department, is the key equipment in major factory, thereby, it is ensured that such whirler The normal safe operation of tool is particularly important.
Currently, in production practice, usually by manually judging to set using rotating machinery state at runtime and noise It is standby to whether there is failure.However, by artificial judgment equipment there are the accuracy rate of failure is lower, or even can not timely and accurately find Equipment not can guarantee the normal safe operation of equipment there are failure, it is therefore proposed that a kind of reliable rotating machinery fault analysis Method has become technical problem urgently to be resolved to guarantee that it normally and safely runs.
Summary of the invention
In view of this, the embodiment of the present invention provides the failure analysis methods and device of a kind of rotating machinery, main purpose is Raising judges accuracy rate of the rotating machinery there are failure, to guarantee the normal safe operation of equipment.
In order to achieve the above objectives, present invention generally provides following technical solutions:
On the one hand, the embodiment of the invention provides a kind of failure analysis methods of rotating machinery, comprising:
In rotating machinery stable operation, the vibration signal of the rotating machinery is obtained;
The vibration signal is analyzed, including time-domain analysis, frequency-domain analysis and analysis of orbit, and is reacted Temporal signatures value, frequency domain character value and the central spindle track of the rotating machinery vibrating state;
According to the temporal signatures value, frequency domain character value and central spindle track, judge the rotating machinery with the presence or absence of failure.
Further, time-domain analysis is carried out to the vibration signal, comprising:
The vibration signal is calculated, the mean value of the vibration signal amplitude, root-mean-square value, maximum value, most are obtained Small value and variance;
Wherein, mean value, root-mean-square value, maximum value, minimum value and the variance of the vibration signal amplitude are as the time domain Characteristic value.
Further, frequency-domain analysis is carried out to the vibration signal, comprising:
Amplitude spectrum analysis, phase spectral analysis and power spectrumanalysis are carried out to the vibration signal, and obtain the vibration letter Number amplitude, phase and power;
Wherein, the amplitude, phase of the vibration signal and power are as the frequency domain character.
Further, the vibration signal include on the rotor of the rotating machinery certain point horizontally and vertically The first radial vibration signal and the second radial vibration signal, to the vibration signal carry out analysis of orbit, comprising:
Using the first radial vibration signal and the second radial vibration signal as real and imaginary parts, and convert At polar form;
Show that control shows the orbit of shaft center to be measured of the rotor by picture;
Wherein, the orbit of shaft center to be measured is as the orbit of shaft center.
Further, according to the temporal signatures value, frequency domain character value and central spindle track, whether judge the rotating machinery There are failures, comprising:
By the temporal signatures value, frequency domain character value and central spindle track successively respectively with default temporal signatures value, default frequency Characteristic of field value and default orbit of shaft center are compared, and obtain comparison result;
According to the comparison result, judge the rotating machinery with the presence or absence of failure.
On the other hand, the embodiment of the present invention also provides a kind of fail analysis device of rotating machinery, comprising:
Acquiring unit, for obtaining the vibration signal of the rotating machinery in rotating machinery stable operation;
Analytical unit, for analyzing the vibration signal, including time-domain analysis, frequency-domain analysis and orbit of shaft center point Analysis, and obtain temporal signatures value, frequency domain character value and the central spindle track for reacting the rotating machinery vibrating state;
Judging unit, for judging the rotating machinery according to the temporal signatures value, frequency domain character value and central spindle track With the presence or absence of failure.
Further, the analytical unit includes:
Computing module obtains mean value, the root mean square of the vibration signal amplitude for calculating the vibration signal Value, maximum value, minimum value and variance;
Wherein, mean value, root-mean-square value, maximum value, minimum value and the variance of the vibration signal amplitude are as the time domain Characteristic value.
Further, the analytical unit includes:
Analysis module for carrying out amplitude spectrum analysis, phase spectral analysis and power spectrumanalysis to the vibration signal, and obtains Obtain amplitude, phase and the power of the vibration signal;
Wherein, the amplitude, phase of the vibration signal and power are as the frequency domain character.
Further, the vibration signal includes the horizontal direction of certain point and vertical on the rotor of the rotating machinery The first radial vibration signal and the second radial vibration signal, the analytical unit in direction include:
Conversion module, for using the first radial vibration signal and the second radial vibration signal as real part And imaginary part, and it is converted to polar form;
Display module, for showing that control shows the orbit of shaft center to be measured of the rotor by picture.
Further, the judging unit includes:
Comparison module, for by the temporal signatures value, frequency domain character value and central spindle track successively respectively with default time domain Characteristic value, default frequency domain character value and default orbit of shaft center are compared, and obtain comparison result;
Judgment module, for judging the rotating machinery with the presence or absence of failure according to the comparison result.
By above-mentioned technical proposal, the present invention is at least had the advantages that
The failure analysis methods and device of rotating machinery provided in an embodiment of the present invention are judged with current using manual type Rotating machinery is compared with the presence or absence of failure, and the present invention in rotating machinery stable operation, can obtain the vibration letter of rotating machinery Number, and the vibration signal is analyzed, which may include time-domain analysis, frequency-domain analysis and analysis of orbit, thus Obtain temporal signatures value, frequency domain character value and the central spindle track for reacting the rotating machinery vibrating state;And it can be according to the time domain Characteristic value, frequency domain character value and central spindle track judge automatically rotating machinery with the presence or absence of failure, improve and judge that rotating machinery is deposited In the accuracy rate of failure, the normal safe operation of rotating machinery ensure that.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the failure analysis methods of rotating machinery provided in an embodiment of the present invention;
Fig. 2 is a kind of structural schematic diagram of the fail analysis device of rotating machinery provided in an embodiment of the present invention.
Fig. 3 is a kind of entity structure schematic diagram of the fail analysis device of rotating machinery provided in an embodiment of the present invention.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure It is fully disclosed to those skilled in the art.
As stated in the background art, currently, in production practice, usually by manually utilizing the state of rotating machinery at runtime Judge equipment with the presence or absence of failure with noise.However, by artificial judgment equipment there are the accuracy rate of failure is lower, or even can not Timely and accurately discovering device not can guarantee the normal safe operation of equipment there are failure, it is therefore proposed that a kind of reliable rotation Favourable turn tool failure analysis methods have become technical problem urgently to be resolved to guarantee that it normally and safely runs.
To solve the above-mentioned problems, the embodiment of the invention provides a kind of failure analysis methods of rotating machinery, such as Fig. 1 institute Show, this method comprises:
101, in rotating machinery stable operation, the vibration signal of the rotating machinery is obtained;
Wherein, the vibration signal of rotating machinery is capable of providing larger amount of for finding rotating machinery operation troubles tendency Characteristic information, and can be out of order by this feature infomation detection reason and position, therefore, the embodiment of the present invention are steady by obtaining The vibration signal of rotating machinery when running surely, to analyze rotating machinery with the presence or absence of failure.
For the embodiment of the present invention, vibration signal can be obtained by data collection system, the hardware of data acquisition System may include sensor, kinetic analyzer, computer host computer and Virtual Instrument composition.Wherein, sensor is for adopting The vibration signal and tach signal for collecting rotating machinery can be using with high property for acquiring the vibrating sensor of vibration signal The piezoelectric acceleration transducer of the features such as energy, impact resistance, for acquiring the speed probe of tach signal, can use has Measurement range is wide, does not receive the current vortex sensor of the features such as medium influence, strong antijamming capability.
For the software systems of data acquisition, data acquisition can be carried out using portable dynamic analyzer, utilized The NI-DAQmx and kinetic analyzer that LABVIEW is provided are mating to be completed to compile the task of signal data acquisition with LABVIEW Journey data acquisition module includes vibration signals collecting and tach signal acquisition.Pass through LABVIEW conditional structure function and circulation Structure function realizes the continuous acquisition to data and saves function.
102, the vibration signal is analyzed, including time-domain analysis, frequency-domain analysis and analysis of orbit, and obtained React the temporal signatures value, frequency domain character value and central spindle track of the rotating machinery vibrating state;
Wherein, by carrying out time-domain analysis, frequency-domain analysis and central spindle trajectory analysis to vibration signal, vibration signal is obtained Temporal signatures value, frequency domain character value and central spindle track, to react the vibrational state of rotating machinery comprehensively, and then accurate judgement is revolved Tool of making a connection whether there is failure.
For the embodiment of the present invention, carrying out time-domain analysis to the vibration signal be can specifically include: be believed the vibration It number is calculated, obtains mean value, root-mean-square value, maximum value, minimum value and the variance of the vibration signal amplitude;Wherein, described Mean value, root-mean-square value, maximum value, minimum value and the variance of vibration signal amplitude are as the temporal signatures value, to from time domain Angle judge rotating machinery with the presence or absence of failure.
The above-mentioned calculating to the mean value of signal amplitude, root-mean-square value, maximum value, minimum value and variance can specifically use Signal processing-signal calculating-auto-correlation function calling in LABVIEW function realizes, specific calculation method can be with Using the common calculation formula of those skilled in the art.
For the embodiment of the present invention, carrying out frequency-domain analysis to the vibration signal be can specifically include: be believed the vibration Number amplitude spectrum analysis, phase spectral analysis and power spectrumanalysis are carried out, and obtains the amplitude, phase and power of the vibration signal; Wherein, the amplitude, phase of the vibration signal and power are as the frequency domain character.
Specifically, carrying out the fast algorithm analysis of discrete fourier transform to acquisition signal is amplitude spectrum analysis and phase spectrum point When the realization of analysis by call LABVIEW in function-signal processing-waveform measurement-FFT spectrum (amplitude-phase) function come It is programmed to realize, the calling of power spectrumanalysis and the fast algorithm transformation calling of discrete fourier transform are identical, the two Analytic function is all the sub- VI carried in LABVIEW function library, it is possible to call directly and realize above-mentioned two kinds of spectrum analyses Function, so that amplitude, phase and the power of vibration signal are obtained respectively, to judge whether rotating machinery is deposited from the angle of frequency domain In failure.
For the embodiment of the present invention, the vibration signal may include the horizontal direction that certain is put on the rotor of rotating machinery With the first radial vibration signal and the second radial vibration signal of vertical direction, it is specific that analysis of orbit is carried out to vibration signal May include: using the first radial vibration signal and the second radial vibration signal as real and imaginary parts, and turn It is melted into polar form;Show that control shows the orbit of shaft center to be measured of the rotor by picture;Wherein, the axle center to be measured Track is as the orbit of shaft center.
Orbit of shaft center is motion profile of the axle center relative to bearing block, it reflects the whirling motion situation of rotor moment, to axis The observation of heart trajectory shape is conducive to learn the moving situation of rotor.It specifically, can the installation two simultaneously on the section of rotor A orthogonal eddy current sensor, using two eddy current sensors respectively on rotor certain point horizontally and vertically Radial vibration signal be acquired, i.e. the first radial vibration signal and the second radial vibration signal, while can show two The signal graph in channel, then by the two-way radial vibration signal, i.e., by the first radial vibration signal and the second radial vibration signal point It Zuo Wei not be converted to polar form after real and imaginary parts, recycle picture to show that control shows the orbit of shaft center of rotor, use To judge rotating machinery with the presence or absence of failure from the angle of axle center trail.
The analysis of above-mentioned orbit of shaft center can be carried out with the vibration in LABVIEW and the correlation function in sound module packet Programming detects axle center trail.Furthermore, it is possible to using the sub- VI in LABVIEW axis track by this two-way radial vibration signal Respectively as being converted into polar form after real part, imaginary part.
103, according to the temporal signatures value, frequency domain character value and central spindle track, judge that the rotating machinery whether there is Failure.
For the embodiment of the present invention, which be can specifically include: by the temporal signatures value, frequency domain character value and Central spindle track is successively compared with default temporal signatures value, default frequency domain character value and default orbit of shaft center respectively, and is obtained Comparison result;According to the comparison result, judge the rotating machinery with the presence or absence of failure.
Wherein, the default temporal signatures value, default frequency domain character value and default orbit of shaft center are expressed as rotating Machinery the temporal signatures value, frequency domain character value of produced vibration signal and central spindle track in normal safe operation, these values and Track can be set in the design process to rotating machinery, therefore, will analyze obtained temporal signatures value, frequency domain character Value and central spindle track are successively compared with default temporal signatures value, default frequency domain character value and default orbit of shaft center respectively, i.e., Rotating machinery can be judged according to comparison result with the presence or absence of failure, specifically, when comparison result is in allowed band, then it represents that Current rotating machinery is normal safe operation, when comparison result exceeds allowed band, then it represents that there are failures for current rotating machinery.
For the embodiment of the present invention, before or after step 102, this method can also include: by the vibration signal It is transmitted to terminal to be displayed and saved, to carry out secondary analysis to vibration signal, and analysis result and image can be saved Deng.Wherein, the transmission mode of vibration signal can be wireless transmission, specifically can use and wirelessly guarantee the vibration that module will acquire Dynamic signal is wirelessly transmitted to terminal, which can be computer etc..The result of the secondary analysis can be used to and analysis above-mentioned As a result it is compared, to improve the breakdown judge accuracy of rotating machinery.
The failure analysis methods of rotating machinery provided in an embodiment of the present invention judge whirler using manual type with current Tool is compared with the presence or absence of failure, and the present invention can obtain the vibration signal of rotating machinery, and right in rotating machinery stable operation The vibration signal is analyzed, which may include time-domain analysis, frequency-domain analysis and analysis of orbit, to be reacted Temporal signatures value, frequency domain character value and the central spindle track of the rotating machinery vibrating state;And it can be according to the temporal signatures value, frequency Characteristic of field value and central spindle track judge automatically rotating machinery with the presence or absence of failure, improve and judge rotating machinery there are failures Accuracy rate ensure that the normal safe operation of rotating machinery.
Further, as the specific implementation of Fig. 1, the embodiment of the invention provides a kind of accident analysis of rotating machinery dresses It sets, as shown in Fig. 2, described device includes: acquiring unit 21, analytical unit 22 and judging unit 23.
Acquiring unit 21 can be used for obtaining the vibration signal of the rotating machinery in rotating machinery stable operation.Institute State acquiring unit 31 be in the present apparatus in rotating machinery stable operation, obtain the main function of the vibration signal of the rotating machinery It can module.
Analytical unit 22 can be used for analyzing the vibration signal, including time-domain analysis, frequency-domain analysis and axle center Trajectory analysis, and obtain temporal signatures value, frequency domain character value and the central spindle track for reacting the rotating machinery vibrating state.It is described Analytical unit 22 is to analyze in the present apparatus the vibration signal, including time-domain analysis, frequency-domain analysis and orbit of shaft center divide Analysis, and obtain the temporal signatures value for reacting the rotating machinery vibrating state, the major function of frequency domain character value and central spindle track Module and nucleus module.
Judging unit 23 can be used for judging the rotation according to the temporal signatures value, frequency domain character value and central spindle track Tool of making a connection whether there is failure.The judging unit is in the present apparatus according to the temporal signatures value, frequency domain character value and central spindle Track judges that the rotating machinery whether there is the main functional modules of failure.
For the embodiment of the present invention, analytical unit 21 may include computing module, can be used for the vibration signal into Row calculates, and obtains mean value, root-mean-square value, maximum value, minimum value and the variance of the vibration signal amplitude;Wherein, the vibration Mean value, root-mean-square value, maximum value, minimum value and the variance of signal amplitude are as the temporal signatures value.
For the embodiment of the present invention, analytical unit 21 can also include analysis module, can be used for the vibration signal Amplitude spectrum analysis, phase spectral analysis and power spectrumanalysis are carried out, and obtains the amplitude, phase and power of the vibration signal;Its In, amplitude, phase and the power of the vibration signal are as the frequency domain character.
For the embodiment of the present invention, analytical unit 21 can also include conversion module and display module, and conversion module can be with For using the first radial vibration signal and the second radial vibration signal as real and imaginary parts, and convert poling Coordinate form;Display module can be used for showing that control shows the orbit of shaft center to be measured of the rotor by picture.
For the embodiment of the present invention, judging unit 23 may include comparison module and judgment module, and comparison module can be used In by the temporal signatures value, frequency domain character value and central spindle track successively respectively with default temporal signatures value, default frequency domain character Value and default orbit of shaft center are compared, and obtain comparison result;Judgment module can be used for according to the comparison result, judgement The rotating machinery whether there is failure.
It should be noted that each function involved by a kind of fail analysis device of rotating machinery provided in an embodiment of the present invention Other corresponding descriptions of module, can be with reference to the corresponding description of method shown in Fig. 1, and details are not described herein.
Based on above-mentioned method as shown in Figure 1, correspondingly, the embodiment of the invention also provides a kind of computer-readable storage mediums Matter is stored thereon with computer program, which performs the steps of when being executed by processor in rotating machinery stable operation When, obtain the vibration signal of the rotating machinery;The vibration signal is analyzed, including time-domain analysis, frequency-domain analysis and Analysis of orbit, and obtain temporal signatures value, frequency domain character value and the central spindle track for reacting the rotating machinery vibrating state; According to the temporal signatures value, frequency domain character value and central spindle track, judge the rotating machinery with the presence or absence of failure.
Based on embodiment shown in above-mentioned method as shown in Figure 1, the embodiment of the invention also provides a kind of rotating machineries The entity structure of fail analysis device, as shown in figure 3, the device includes: processor 31, memory 32 and is stored in memory On 32 and the computer program that can run on a processor, the processor 31 perform the steps of when executing described program When rotating machinery stable operation, the vibration signal of the rotating machinery is obtained;The vibration signal is analyzed, including time domain Analysis, frequency-domain analysis and analysis of orbit, and it is special to obtain the temporal signatures value for reacting the rotating machinery vibrating state, frequency domain Value indicative and central spindle track;According to the temporal signatures value, frequency domain character value and central spindle track, judge whether the rotating machinery is deposited In failure.
Above-mentioned technical proposal through the invention can obtain the vibration of rotating machinery in rotating machinery stable operation Signal, and analyzing the vibration signal, the analysis may include time-domain analysis, frequency-domain analysis and analysis of orbit, from And obtain temporal signatures value, frequency domain character value and the central spindle track for reacting the rotating machinery vibrating state;And when can be according to this Characteristic of field value, frequency domain character value and central spindle track judge automatically rotating machinery with the presence or absence of failure, improve judgement rotating machinery There are the accuracys rate of failure, ensure that the normal safe operation of rotating machinery.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment Point, reference can be made to the related descriptions of other embodiments.
It is understood that the correlated characteristic in the above method and device can be referred to mutually.In addition, in above-described embodiment " first ", " second " etc. be and not represent the superiority and inferiority of each embodiment for distinguishing each embodiment.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description, The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
Algorithm and display are not inherently related to any particular computer, virtual system, or other device provided herein. Various general-purpose systems can also be used together with teachings based herein.As described above, it constructs required by this kind of system Structure be obvious.In addition, the present invention is also not directed to any particular programming language.It should be understood that can use various Programming language realizes summary of the invention described herein, and the description done above to language-specific is to disclose this hair Bright preferred forms.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that implementation of the invention Example can be practiced without these specific details.In some instances, well known method, structure is not been shown in detail And technology, so as not to obscure the understanding of this specification.
Similarly, it should be understood that in order to simplify the disclosure and help to understand one or more of the various inventive aspects, Above in the description of exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes In example, figure or descriptions thereof.However, the disclosed method should not be interpreted as reflecting the following intention: i.e. required to protect Shield the present invention claims features more more than feature expressly recited in each claim.More precisely, as following Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore, Thus the claims for following specific embodiment are expressly incorporated in the specific embodiment, wherein each claim itself All as a separate embodiment of the present invention.
Those skilled in the art will understand that can be carried out adaptively to the module in the equipment in embodiment Change and they are arranged in one or more devices different from this embodiment.It can be the module or list in embodiment Member or component are combined into a module or unit or component, and furthermore they can be divided into multiple submodule or subelement or Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it can use any Combination is to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so disclosed All process or units of what method or apparatus are combined.Unless expressly stated otherwise, this specification is (including adjoint power Benefit require, abstract and attached drawing) disclosed in each feature can carry out generation with an alternative feature that provides the same, equivalent, or similar purpose It replaces.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments In included certain features rather than other feature, but the combination of the feature of different embodiments mean it is of the invention Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed Meaning one of can in any combination mode come using.
Various component embodiments of the invention can be implemented in hardware, or to run on one or more processors Software module realize, or be implemented in a combination thereof.It will be understood by those of skill in the art that can be used in practice Microprocessor or digital signal processor (DSP) realize one of some or all components according to embodiments of the present invention A little or repertoire.The present invention is also implemented as setting for executing some or all of method as described herein Standby or program of device (for example, computer program and computer program product).It is such to realize that program of the invention deposit Storage on a computer-readable medium, or may be in the form of one or more signals.Such signal can be from because of spy It downloads and obtains on net website, be perhaps provided on the carrier signal or be provided in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and ability Field technique personnel can be designed alternative embodiment without departing from the scope of the appended claims.In the claims, Any reference symbol between parentheses should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not Element or step listed in the claims.Word "a" or "an" located in front of the element does not exclude the presence of multiple such Element.The present invention can be by means of including the hardware of several different elements and being come by means of properly programmed computer real It is existing.In the unit claims listing several devices, several in these devices can be through the same hardware branch To embody.The use of word first, second, and third does not indicate any sequence.These words can be explained and be run after fame Claim.

Claims (10)

1. a kind of failure analysis methods of rotating machinery characterized by comprising
In rotating machinery stable operation, the vibration signal of the rotating machinery is obtained;
The vibration signal is analyzed, including time-domain analysis, frequency-domain analysis and analysis of orbit, and obtained described in reaction Temporal signatures value, frequency domain character value and the central spindle track of rotating machinery vibrating state;
According to the temporal signatures value, frequency domain character value and central spindle track, judge the rotating machinery with the presence or absence of failure.
2. the method according to claim 1, wherein carrying out time-domain analysis to the vibration signal, comprising:
The vibration signal is calculated, mean value, root-mean-square value, maximum value, the minimum value of the vibration signal amplitude are obtained And variance;
Wherein, mean value, root-mean-square value, maximum value, minimum value and the variance of the vibration signal amplitude are as the temporal signatures Value.
3. the method according to claim 1, wherein carrying out frequency-domain analysis to the vibration signal, comprising:
Amplitude spectrum analysis, phase spectral analysis and power spectrumanalysis are carried out to the vibration signal, and obtain the vibration signal Amplitude, phase and power;
Wherein, the amplitude, phase of the vibration signal and power are as the frequency domain character.
4. the method according to claim 1, wherein the vibration signal includes on the rotor of the rotating machinery Certain point the first radial vibration signal and the second radial vibration signal horizontally and vertically, to the vibration signal into Row analysis of orbit, comprising:
Using the first radial vibration signal and the second radial vibration signal as real and imaginary parts, and convert poling Coordinate form;
Show that control shows the orbit of shaft center to be measured of the rotor by picture;
Wherein, the orbit of shaft center to be measured is as the orbit of shaft center.
5. the method according to claim 1, wherein according to the temporal signatures value, frequency domain character value and central spindle Track judges the rotating machinery with the presence or absence of failure, comprising:
The temporal signatures value, frequency domain character value and central spindle track is successively special with default temporal signatures value, default frequency domain respectively Value indicative and default orbit of shaft center are compared, and obtain comparison result;
According to the comparison result, judge the rotating machinery with the presence or absence of failure.
6. a kind of fail analysis device of rotating machinery characterized by comprising
Acquiring unit, for obtaining the vibration signal of the rotating machinery in rotating machinery stable operation;
Analytical unit, for analyzing the vibration signal, including time-domain analysis, frequency-domain analysis and analysis of orbit, And obtain temporal signatures value, frequency domain character value and the central spindle track for reacting the rotating machinery vibrating state;
Judging unit, for whether judging the rotating machinery according to the temporal signatures value, frequency domain character value and central spindle track There are failures.
7. device according to claim 6, which is characterized in that the analytical unit includes:
Computing module, for calculating the vibration signal, obtain the mean value of the vibration signal amplitude, root-mean-square value, Maximum value, minimum value and variance;
Wherein, mean value, root-mean-square value, maximum value, minimum value and the variance of the vibration signal amplitude are as the temporal signatures Value.
8. device according to claim 6, which is characterized in that the analytical unit includes:
Analysis module for carrying out amplitude spectrum analysis, phase spectral analysis and power spectrumanalysis to the vibration signal, and obtains institute State the amplitude, phase and power of vibration signal;
Wherein, the amplitude, phase of the vibration signal and power are as the frequency domain character.
9. device according to claim 6, which is characterized in that the vibration signal includes turning positioned at the rotating machinery The the first radial vibration signal and the second radial vibration signal horizontally and vertically that certain is put on son, the analytical unit Include:
Conversion module, for using the first radial vibration signal and the second radial vibration signal as real part and void Portion, and it is converted to polar form;
Display module, for showing that control shows the orbit of shaft center to be measured of the rotor by picture.
10. device according to claim 6, which is characterized in that the judging unit includes:
Comparison module, for by the temporal signatures value, frequency domain character value and central spindle track successively respectively with default temporal signatures Value, default frequency domain character value and default orbit of shaft center are compared, and obtain comparison result;
Judgment module, for judging the rotating machinery with the presence or absence of failure according to the comparison result.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112067334A (en) * 2020-08-31 2020-12-11 电子科技大学 Fault identification method for air conditioner external unit
WO2021217364A1 (en) * 2020-04-27 2021-11-04 西门子股份公司 Fault diagnosis method and apparatus therefor
CN114264366A (en) * 2021-12-22 2022-04-01 南水北调东线江苏水源有限责任公司 Method for monitoring multi-angle vibration components of pump shell of water pump unit

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201259472Y (en) * 2008-08-07 2009-06-17 唐山学院 Failure on-line diagnosis device for mechanical equipment
CN103323274A (en) * 2013-05-24 2013-09-25 上海交通大学 Rotating machinery condition monitoring and fault diagnosing system and method
CN103335840A (en) * 2013-07-02 2013-10-02 中煤科工集团西安研究院 Intelligent diagnosis method for faults of mining drilling machine gearbox

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201259472Y (en) * 2008-08-07 2009-06-17 唐山学院 Failure on-line diagnosis device for mechanical equipment
CN103323274A (en) * 2013-05-24 2013-09-25 上海交通大学 Rotating machinery condition monitoring and fault diagnosing system and method
CN103335840A (en) * 2013-07-02 2013-10-02 中煤科工集团西安研究院 Intelligent diagnosis method for faults of mining drilling machine gearbox

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张万里: "基于LabVIEW旋转机械振动信号分析处理系统开发", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021217364A1 (en) * 2020-04-27 2021-11-04 西门子股份公司 Fault diagnosis method and apparatus therefor
CN112067334A (en) * 2020-08-31 2020-12-11 电子科技大学 Fault identification method for air conditioner external unit
CN112067334B (en) * 2020-08-31 2022-03-15 电子科技大学 Fault identification method for air conditioner external unit
CN114264366A (en) * 2021-12-22 2022-04-01 南水北调东线江苏水源有限责任公司 Method for monitoring multi-angle vibration components of pump shell of water pump unit

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