CN103323274A - Rotating machinery condition monitoring and fault diagnosing system and method - Google Patents
Rotating machinery condition monitoring and fault diagnosing system and method Download PDFInfo
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Abstract
The invention provides a rotating machinery condition monitoring and fault diagnosing system and method. The system comprises a data acquiring subsystem, a holographic spectral analysis subsystem and a space vibration mode analysis subsystem, wherein the data acquiring subsystem is used for carrying out DC blocking and filter processing on an acquired signal through a sensor and then sending the signal to the holographic spectral analysis subsystem and the space vibration mode analysis subsystem, the space vibration mode analysis subsystem is used for carrying out look-ahead analysis on a time domain waveform and an amplitude spectrum and determining possible faults of a rotor system of rotating machinery preliminarily, and then the holographic spectral analysis subsystem and a shafting space vibration mode analysis subsystem are used for extracting fault features and diagnosing fault cause. According to the rotating machinery condition monitoring and fault diagnosing system and method, the vibration condition of the rotor system can be monitored through the data acquiring subsystem when the rotating machinery is in an on-line working state, and therefore safety of the operation of the rotor system is improved, economic losses caused by machine halt are reduced, and engineering practice is better fit.
Description
Technical field
The present invention relates to the condition monitoring and fault diagnosis field of rotating machinery, particularly, relating to a kind of is the rotor-support-foundation system condition monitoring and diagnosis system and method for the space vibration shape based on holographic spectral technology and axle.
Background technology
Rotating machinery is widely used in many key areas such as power, electric power, chemical industry, metallurgy and machine-building, the normally key equipment in the enterprise production process.Its health status not only affects the operation of plant equipment itself, also may impact to subsequent production, will cause heavy losses to national economy when serious, even cause fatal crass's accident.Be guaranteeing unit safety operation, reduce the unit maintenance cost and improve the unit utilization factor, is very necessary for the condition monitoring and fault diagnosis of rotating machinery.For Energy Intensity Reduction and the cost control that realizes large rotating machinery equipment, need to utilize certain means that the rotor-support-foundation system in the work is carried out condition monitoring and fault diagnosis, and in a planned way it be repaired or replaced according to its health status.
Using signal processing method extraction vibration signal and carry out feature extraction, and then diagnose out the health status of plant equipment, is the important research direction in mechanical fault diagnosis field.Holographic spectrum has overcome the amplitude of the vibration signal that traditional analysis of spectrum causes and the defective that phase place is separated from each other, and the vibration information of rotor in the horizontal and vertical of a bearing cross section merged; Can express accurately and visually the synthesis oscillation situation of rotor on a bearing cross section, and the Relative Vibration situation in a plurality of cross sections.Large rotating machinery is rotor support system more than, and axle system comprises many roots rotors usually, in the rotating machinery Fault monitoring and diagnosis, is the vibration analysis method significant of bending vibation mode picture based on axle.The stack of two-dimension holographic spectrum under holographic each rotating speed of waterfall figure combines amplitude and phase place vertical and the horizontal direction vibration, the vibration characteristics when more effectively having disclosed the rotating machinery start and stop than traditional waterfall figure.Holographic spectral technology and axle are that the space vibration modal analysis is with a wide range of applications, but the holographic spectrum processing method of most is based on MATLAB and LABVIEW instrument, in order to satisfy the demand of through engineering approaches, it is the realization of space vibration shape method that the present invention proposes based on the holographic spectral technology of Visual Studio software platform and axle, and builds related system.
Summary of the invention
For defective of the prior art, the objective of the invention is in order to satisfy the demand of through engineering approaches, it is condition monitoring for rotating machinery and fault diagnosis system and the method for the space vibration shape based on the holographic spectral technology of Visual Studio software platform and axle that a kind of utilization is provided, more press close to engineering reality, to satisfy engineering demand.
According to an aspect of the present invention, provide a kind of condition monitoring for rotating machinery and fault diagnosis system, this system comprises data acquisition subsystem, holographic analysis of spectrum subsystem, space vibration modal analysis subsystem.Wherein:
Data acquisition subsystem is digital signal with the analog signal conversion that collects and carries out delivering to holographic analysis of spectrum subsystem and space vibration modal analysis subsystem after straight, filtering are processed;
Space vibration modal analysis subsystem is based on the space vibration modal analysis subsystem of Visual Studio, comprises the analysis of space oscillations condition curve and relevant time domain waveform, the frequency domain amplitude analysis of spectrum of axle system;
Holographic analysis of spectrum subsystem and space vibration modal analysis subsystem carry out feature extraction to the vibration signal that collects, and then diagnose out the fault type of rotating machinery according to the vibration signal characteristics that extracts, and the health status of final decision rotating machinery and provide the processing suggestion of corresponding health status;
Described data acquisition subsystem utilize sensor with the signal that collects through delivering to holographic analysis of spectrum subsystem and space vibration modal analysis subsystem every straight, filtering after processing, space vibration modal analysis subsystem carries out first the look-ahead analysis of time domain waveform and amplitude spectrum, the preliminary possible fault of rotor-support-foundation system of determining rotating machinery is that space vibration modal analysis subsystem extracts its fault signature and diagnoses out its failure cause by holographic analysis of spectrum subsystem and axle further.
Preferably, described holographic analysis of spectrum subsystem based on Visual Studio comprises: analysis of orbit module, two-dimension holographic spectrum analysis module, 3D hologram analysis of spectrum module, holographic waterfall map analysis module; Holographic analysis of spectrum subsystem is further analysis and the processing of data that described data acquisition subsystem is obtained.
The analysis of orbit module merges the rotor oscillation signal that the radial transducer of horizontal and vertical direction records, and intactly describes the vibration that radially bends of rotor;
Two-dimension holographic spectrum analysis module analytical approach is the combination of analysis of orbit method and spectral analysis method, the amplitude and the phase place that have overcome the vibration signal that traditional analysis of spectrum causes are separated from each other, the defective that rotor is separated from each other in the vibration of the horizontal and vertical of a bearing cross section;
3D hologram analysis of spectrum module adopts with the 3D hologram spectrum information of carrying out and describes, the 3D hologram profiling be the vibration information of a plurality of supporting sections, utilize 3D hologram to compose to extract the fault signature of the multiple shafting system of rotating machinery;
Holographic waterfall map analysis module adopts with waterfall figure or the holographic waterfall figure information of carrying out and describes, and wherein waterfall figure is the effective tool of analyzing rotating machinery start and stop process, the stack of each amplitude spectrum when it is in fact raising speed or reduction of speed; The stack of two-dimension holographic spectrum under each rotating speed when holographic waterfall figure then is raising speed or reduction of speed; Because it combines amplitude and phase place vertical and the horizontal direction vibration, the vibration characteristics when more effectively having disclosed the rotating machinery start and stop than traditional waterfall figure.
According to another aspect of the present invention, provide a kind of condition monitoring for rotating machinery and method for diagnosing faults, comprise the steps:
The first step is at first installed acceleration, displacement transducer, signal transmssion line at rotating machinery to be monitored;
Second step, input system parameter, acquisition parameter, sensor parameters in data acquisition subsystem, data storage correlation parameter etc.;
In the 3rd step, data acquisition subsystem is stored the data that collect;
The 4th step, sampling number N, the sample frequency Fs of inputted vibration signal, the number of cross sections A that analyze, the quantity M of the frequency component that analyze and the amplitude limitation factor etc. of wanting analytic signal; Utilize holographic analysis of spectrum subsystem that the signal that collects is carried out Treatment Analysis, draw two time domain waveform figure corresponding to orthogonal directions in certain cross section, amplitude spectrum, Chart of axes track, two-dimension holographic spectrogram, waterfall figure, holographic spectrum waterfall figure; Utilizing axle is that space vibration modal analysis subsystem carries out Treatment Analysis to the signal that collects and draws time domain waveform figure corresponding to certain direction of each cross section, amplitude spectrum, space bending vibation mode picture etc.
In this step, concrete treatment step is: first the look-ahead analysis of time domain waveform and amplitude spectrum is carried out in the vibration signal in rotor certain cross section under a certain rotating speed, contrast time domain waveform and spectrogram normal the time, and the time domain waveform of typical fault and spectrogram, the possible fault of rotor-support-foundation system of tentatively definite rotating machinery; Further extract the fault signature in rotor certain cross section under a certain rotating speed by orbit of shaft center and two-dimension holographic spectrum and diagnose out the failure cause of rotor according to the common typical fault feature of rotor.If can not determine the rotating speed that fault signature is apparent in view, can be in conjunction with waterfall figure and holographic waterfall map analysis rotor-support-foundation system the operation characteristic in whole start and stop process, again the vibration data of a certain specific rotation speeds lower rotor part is analyzed.As can not determine the particular cross section that breaks down, can be the Vibration Condition that the space vibration shape is analyzed rotor on the whole in conjunction with 3D hologram spectrum and axle.In conjunction with existing typical fault type, thereby determine its fault type.
In the 5th step, extract the feature of vibration signal according to system and diagnose out the health status of rotating machinery, and then provide the processing suggestion.
In this step, the characteristic parameter when extracting by above various signal processing methods that the contrast rotor normally moves after the rotor fault feature, with and typical fault type parameter, diagnose out the health status of rotary machine rotor system.As: for bumping the mill fault: all there is " cutting the top " phenomenon in the vibrational waveform of rotor horizontal and vertical directions, and this phenomenon meets bumps the feature performance of mill fault on time domain waveform.All occur 1 frequency multiplication in the vibration of rotor horizontal and vertical directions, various high order frequency compositions belong to the frequency domain character that bumps mill described in the list of references, i.e. 1 frequency multiplication, high low order frequency multiplication and mix harmonic wave.Can be clear that owing to bumping the cusp that forms of mill and the sudden change of track by the filtering orbit of shaft center.And 2 frequencys multiplication and 3 frequency multiplication ellipses are less in the two-dimension holographic spectrogram, illustrate that rotor centering is good, and are stressed comparatively even, and the precession opposite direction of the precession direction of 2 frequencys multiplication and 1 frequency multiplication also meets the fault signature that bumps mill.
Compared with prior art, the present invention has following beneficial effect:
1. the objective of the invention is in order to satisfy the demand of through engineering approaches, it is condition monitoring for rotating machinery and the method for diagnosing faults of the space vibration shape based on the holographic spectral technology of Visual Studio software platform and axle that a kind of utilization is provided, more press close to engineering reality, to satisfy engineering demand;
2. the present invention has realized the health monitoring under rotating machinery in working order, does not need shutdown inspection, has got rid of commercial production impact and economic loss that traditional stopped status monitoring method is brought;
3. the present invention can be according to the monitoring and diagnosis to the health status of rotatory mechanical system, thereby targetedly rotating machinery is maintained and changes, and has avoided because the undiscovered serious consequence that causes of fault the security that has improved rotating machinery.
Description of drawings
By reading the detailed description of non-limiting example being done with reference to the following drawings, it is more obvious that other features, objects and advantages of the present invention will become:
Fig. 1 is the system assumption diagram of system of the present invention.
Fig. 2 is based on the holographic spectral technology implementation algorithm of Visual Studio process flow diagram.
Fig. 3 is rotary machine rotor system and installation of sensors schematic diagram.
Fig. 4 is holographic analysis of spectrum subsystem interfaces one.
Fig. 5 is holographic analysis of spectrum subsystem interfaces two.
Embodiment
The present invention is described in detail below in conjunction with specific embodiment.Following examples will help those skilled in the art further to understand the present invention, but not limit in any form the present invention.Should be pointed out that to those skilled in the art, without departing from the inventive concept of the premise, can also make some distortion and improvement.These all belong to protection scope of the present invention.
Data acquisition subsystem comprises: system parameter setting, acquisition parameter setting, sensor parameters setting, data storage etc.;
Holographic analysis of spectrum subsystem based on Visual Studio comprises: analysis of orbit, two-dimension holographic analysis of spectrum, 3D hologram analysis of spectrum, holographic waterfall map analysis etc.;
Space vibration modal analysis subsystem based on Visual Studio comprises that the space oscillations condition curve analysis of axle system reaches relevant time domain waveform, frequency domain amplitude analysis of spectrum etc.
Data acquisition subsystem is digital signal with the analog signal conversion that collects and carries out necessarily after straight, filtering etc. processed, and delivering to holographic analysis of spectrum subsystem and axle is space vibration modal analysis subsystem;
Holographic analysis of spectrum subsystem and space vibration modal analysis subsystem carry out feature extraction to the vibration signal that collects, and then diagnose out the fault type of rotating machinery according to the vibration signal characteristics that extracts, and the health status of final decision rotating machinery and provide the processing suggestion of corresponding health status.
In the accompanying drawing 1, each block representation be the application of the operating process of native system: utilize displacement transducer the displacement signal that collects to be carried out first the look-ahead analysis of time domain waveform and amplitude spectrum after processing every straight, filtering, the preliminary possible fault of rotor-support-foundation system of determining rotating machinery is further extracted its fault signature and is diagnosed out its failure cause by orbit of shaft center and two-dimension holographic spectrum.For the multiple shafting system of rotating machinery, then utilizing 3D hologram spectrum and axle is that the space mode curve extracts its fault signature, and then diagnoses out its fault type.In the startup of rotating machinery and stopping process, then utilize holographic waterfall figure to extract fault signature; The stack of two-dimension holographic spectrum under holographic each rotating speed of waterfall figure combines amplitude and phase place vertical and the horizontal direction vibration, the vibration characteristics when more effectively having disclosed the rotating machinery start and stop than traditional waterfall figure.Extract the feature of vibration signal according to above system and diagnose out the health status of rotating machinery, and then provide the processing suggestion.
In the present embodiment, at first at rotating machinery to be monitored acceleration, displacement transducer, signal transmssion line etc. are installed; Then input system parameter, acquisition parameter, sensor parameters in the parameter designing system of data acquisition subsystem, data storage correlation parameter etc.; After starting working, data acquisition subsystem is stored the data that collect; Second portion mainly is analyzing and processing data and decision-making.
In the present embodiment, described data acquisition subsystem comprises: system parameter setting module, acquisition parameter arrange module, sensor parameters arranges module, data memory module; Wherein:
The system parameter setting module can arrange the interval of per twice time data memory, can select storage class and the storage directory of data file and the storage directory of CONFIG.SYS etc. of alert data;
Acquisition parameter arranges the parameters such as sampling number that module can arrange system, sample frequency, maximum displaying time, frequency;
Sensor parameters arranges module can revise separately the parameters such as the range of each sensor, type, sensitivity, coupling scheme, preposition amplification, high-pass filtering, low-pass filtering;
Data memory module mainly comprises 3 kinds of storage modes, and peak-to-peak value warning memory module, constant duration be memory module, in real time manual memory module regularly;
Data acquisition subsystem carries out preliminary analysis (such as time domain waveform, amplitude spectrum etc.) and monitoring (such as peak-to-peak value alert detecting, effective value alarm detection etc.) to the signal that collects, and then stores in order to be further analyzed processing through Data classification by data memory module.
In the present embodiment, described holographic analysis of spectrum subsystem based on Visual Studio comprises: analysis of orbit module, two-dimension holographic spectrum analysis module, 3D hologram analysis of spectrum module, holographic waterfall map analysis module; Holographic analysis of spectrum subsystem is further analysis and the processing of data that described data acquisition subsystem is obtained.
The analysis of orbit module merges the rotor oscillation signal that the radial transducer of horizontal and vertical direction records, and intactly describes the vibration that radially bends of rotor;
Two-dimension holographic spectrum analysis module analytical approach is the combination of analysis of orbit method and spectral analysis method, the amplitude and the phase place that have overcome the vibration signal that traditional analysis of spectrum causes are separated from each other, the defective that rotor is separated from each other in the vibration of the horizontal and vertical of a bearing cross section;
3D hologram analysis of spectrum module adopts with the 3D hologram spectrum information of carrying out and describes, the 3D hologram profiling be the vibration information of a plurality of supporting sections, utilize 3D hologram to compose to extract the fault signature of the multiple shafting system of rotating machinery;
Holographic waterfall map analysis module adopts with waterfall figure or the holographic waterfall figure information of carrying out and describes, and wherein waterfall figure is the effective tool of analyzing rotating machinery start and stop process, the stack of each amplitude spectrum when it is in fact raising speed or reduction of speed; The stack of two-dimension holographic spectrum under each rotating speed when holographic waterfall figure then is raising speed or reduction of speed; Because it combines amplitude and phase place vertical and the horizontal direction vibration, the vibration characteristics when more effectively having disclosed the rotating machinery start and stop than traditional waterfall figure.
Adopt said system to be rotated the machine performance monitoring and fault diagnosis, comprise the steps:
The first step is at first installed acceleration, displacement transducer, signal transmssion line at rotating machinery to be monitored;
Second step, input system parameter, acquisition parameter, sensor parameters in the parameter designing system of data acquisition subsystem, data storage correlation parameter etc.;
In the 3rd step, data acquisition subsystem is stored the data that collect;
The 4th step, sampling number N, the sample frequency Fs of inputted vibration signal, the number of cross sections A that analyze, the quantity M of the frequency component that analyze and the amplitude limitation factor etc. of wanting analytic signal; Utilize holographic analysis of spectrum subsystem that the signal that collects is carried out Treatment Analysis, utilizing axle is that space vibration modal analysis subsystem carries out Treatment Analysis to the signal that collects.
In the 5th step, extract the feature of vibration signal according to system and diagnose out the health status of rotating machinery, and then provide the processing suggestion.
Accompanying drawing 2 is depicted as based on the holographic spectral technology implementation algorithm of Visual Studio process flow diagram.At first obtain sampling number N, the sample frequency Fs of vibration signal, the data-signal that the sensor of the horizontal X of certain supporting section, vertical Y two orthogonal directions gathers; The number of cross sections A that setting will be analyzed, the quantity M of the frequency component that analyze and want amplitude limitation factor of analytic signal etc.; Go average, filtering noise can obtain the time domain waveform of X, Y-direction at the data-signal of the sensor collection of the horizontal X of certain supporting section, vertical Y two orthogonal directions rotor; The time domain waveform of X, Y-direction is carried out data fusion can obtain orbit of shaft center; X, Y time-domain signal are carried out Spectrum Conversion obtain X, Y-direction amplitude spectrum separately; In frequency spectrum, get respectively M frequency component, amplitude and phase place before X, the Y-direction; Bring formula into
The vibration of trying to achieve the different frequency place is oval, then carries out data fusion and can consist of the two-dimension holographic spectrogram, the data in a plurality of cross sections is merged can obtain the 3D hologram spectrogram and axle is the space vibration shape.If read a plurality of files, at first obtain the quantity of institute's file reading, different files represents the vibration data under the different rotating speeds, begin to obtain sampling number N, the sample frequency Fs of vibration signal from first file, the data-signal that the sensor of the horizontal X of certain supporting section, vertical Y two orthogonal directions gathers; The number of cross sections A that setting will be analyzed, the quantity M of the frequency component that analyze and want amplitude limitation factor of analytic signal etc.; Rotor is removed average, filtering noise at the data-signal of the sensor collection of the horizontal X of certain supporting section, vertical Y two orthogonal directions, X, Y time-domain signal are carried out Spectrum Conversion obtain X, Y-direction amplitude spectrum separately; X, the Y-direction amplitude spectrum separately of trying to achieve under the different rotating speeds are merged the waterfall figure that can obtain rotor cross section X, Y-direction; If in frequency spectrum, obtain respectively M frequency component, amplitude and phase place before X, the Y-direction, and then by the synthetic two-dimension holographic spectrum of sine and cosine item coefficient under each rotating speed that calculates, the two-dimension holographic spectrum under the different rotating speeds merged to obtain holographic waterfall figure.
Accompanying drawing 3 is rotary machine rotor system and installation of sensors schematic diagram.Wherein X, Y represent respectively the installation site of horizontal direction and vertical direction sensor, and 1 and 2 represent respectively to measure cross section 1 and measure the cross section.
Accompanying drawing 4 and accompanying drawing 5 are the partial display interfaces based on the holographic analysis of spectrum subsystem of Visual Studio in the system.
The present invention can in the situation that rotating machinery work online by the Vibration Condition of data acquisition subsystem monitoring rotor-support-foundation system, improve the security of rotor-support-foundation system work and reduce the economic loss that shutdown brings; Holographic analysis of spectrum subsystem and space vibration modal analysis subsystem all are to realize under Visual Studio platform, more press close to engineering reality, have more the engineering using value.
Above specific embodiments of the invention are described.It will be appreciated that, the present invention is not limited to above-mentioned specific implementations, and those skilled in the art can make various distortion or modification within the scope of the claims, and this does not affect flesh and blood of the present invention.
Claims (8)
1. a condition monitoring for rotating machinery and fault diagnosis system is characterized in that, comprising: data acquisition subsystem, holographic analysis of spectrum subsystem and space vibration modal analysis subsystem, wherein:
Data acquisition subsystem is digital signal with the analog signal conversion that collects and carries out delivering to holographic analysis of spectrum subsystem and space vibration modal analysis subsystem after straight, filtering are processed;
Space vibration modal analysis subsystem is based on the space vibration modal analysis subsystem of Visual Studio, comprises the analysis of space oscillations condition curve and relevant time domain waveform, the frequency domain amplitude analysis of spectrum of axle system;
Holographic analysis of spectrum subsystem and space vibration modal analysis subsystem carry out feature extraction to the vibration signal that collects, and then diagnose out the fault type of rotating machinery according to the vibration signal characteristics that extracts, and the health status of final decision rotating machinery and provide the processing suggestion of corresponding health status;
Described data acquisition subsystem utilize sensor with the signal that collects through delivering to holographic analysis of spectrum subsystem and space vibration modal analysis subsystem every straight, filtering after processing, space vibration modal analysis subsystem carries out first the look-ahead analysis of time domain waveform and amplitude spectrum, the preliminary possible fault of rotor-support-foundation system of determining rotating machinery is that space vibration modal analysis subsystem extracts its fault signature and diagnoses out its failure cause by holographic analysis of spectrum subsystem and axle further.
2. condition monitoring for rotating machinery according to claim 1 and fault diagnosis system is characterized in that, described data acquisition subsystem comprises: system parameter setting module, acquisition parameter arrange module, sensor parameters arranges module, data memory module; Wherein:
The system parameter setting module arranges the interval of per twice time data memory, selects storage class and the storage directory of data file and the storage directory of CONFIG.SYS of alert data; Acquisition parameter arranges sampling number, sample frequency, maximum displaying time, the frequency that module arranges system;
Sensor parameters arranges module can revise separately the range of each sensor, type, sensitivity, coupling scheme, preposition amplification, high-pass filtering, low-pass filtering parameter;
Data memory module comprises 3 kinds of storage modes, and peak-to-peak value warning memory module, constant duration be memory module, in real time manual memory module regularly;
Data acquisition subsystem comprises the initial analysis of time domain waveform, amplitude spectrum and peak-to-peak value alert detecting, effective value alarm detection to the signal that collects, then by data memory module through the Data classification storage in order to be further analyzed processing.
3. condition monitoring for rotating machinery according to claim 1 and fault diagnosis system, it is characterized in that, described holographic analysis of spectrum subsystem based on Visual Studio comprises: analysis of orbit module, two-dimension holographic spectrum analysis module, 3D hologram analysis of spectrum module, holographic waterfall map analysis module; Wherein:
The analysis of orbit module merges the rotor oscillation signal that the radial transducer of horizontal and vertical direction records, and intactly describes the vibration that radially bends of rotor;
The two-dimension holographic spectrum analysis module adopts the combination of analysis of orbit method and spectral analysis method, and the amplitude and the phase place that overcome the vibration signal that traditional analysis of spectrum causes are separated from each other, the defective that rotor is separated from each other in the vibration of the horizontal and vertical of a bearing cross section;
3D hologram analysis of spectrum module adopts with the 3D hologram spectrum information of carrying out and describes, the 3D hologram profiling be the vibration information of a plurality of supporting sections, utilize 3D hologram to compose to extract the fault signature of the multiple shafting system of rotating machinery;
Holographic waterfall map analysis module adopts with waterfall figure or the holographic waterfall figure information of carrying out and describes, and wherein waterfall figure is the effective tool of analyzing rotating machinery start and stop process, the stack of each amplitude spectrum when it is in fact raising speed or reduction of speed; The stack of two-dimension holographic spectrum under each rotating speed when holographic waterfall figure then is raising speed or reduction of speed.
4. condition monitoring for rotating machinery according to claim 1 and fault diagnosis system is characterized in that, described holographic analysis of spectrum subsystem and space vibration modal analysis subsystem all are to realize under Visual Studio platform.
5. condition monitoring for rotating machinery according to claim 1 and fault diagnosis system; it is characterized in that, to be space vibration modal analysis subsystem then utilize holographic waterfall figure to extract fault signature in the startup of rotating machinery and stopping process for described holographic analysis of spectrum subsystem and axle.
6. condition monitoring for rotating machinery and a method for diagnosing faults that adopts the described system of claim 1 to carry out is characterized in that comprising the steps:
The first step is at first installed acceleration, displacement transducer, signal transmssion line at rotating machinery to be monitored;
Second step, input system parameter, acquisition parameter, sensor parameters in data acquisition subsystem, data storage correlation parameter;
In the 3rd step, data acquisition subsystem is stored the data that collect;
The 4th step, sampling number N, the sample frequency Fs of inputted vibration signal, the number of cross sections A that analyze, the quantity M of the frequency component that analyze and the amplitude limitation factor of wanting analytic signal; Utilize holographic analysis of spectrum subsystem that the signal that collects is carried out Treatment Analysis, draw two time domain waveform figure corresponding to orthogonal directions in certain cross section, amplitude spectrum, Chart of axes track, two-dimension holographic spectrogram, waterfall figure, holographic spectrum waterfall figure; Utilizing axle is that space vibration modal analysis subsystem carries out Treatment Analysis to the signal that collects and draws time domain waveform figure corresponding to certain direction of each cross section, amplitude spectrum, space bending vibation mode picture;
In the 5th step, extract the feature of vibration signal according to system and diagnose out the health status of rotating machinery, and then provide the processing suggestion.
7. condition monitoring for rotating machinery according to claim 6 and method for diagnosing faults, it is characterized in that, described the 4th step and step 5, be specially: first the look-ahead analysis of time domain waveform and amplitude spectrum is carried out in the vibration signal in rotor certain cross section under a certain rotating speed, contrast time domain waveform and spectrogram normal the time, and the time domain waveform of typical fault and spectrogram, the possible fault of rotor-support-foundation system of tentatively definite rotating machinery; Further extract the fault signature in rotor certain cross section under a certain rotating speed by orbit of shaft center and two-dimension holographic spectrum and diagnose out the failure cause of rotor according to the common typical fault feature of rotor; If can not determine the rotating speed that fault signature is apparent in view, the operation characteristic in whole start and stop process in conjunction with waterfall figure and holographic waterfall map analysis rotor-support-foundation system is analyzed the vibration data of a certain specific rotation speeds lower rotor part again; As can not determine the particular cross section that breaks down, be the Vibration Condition that the space vibration shape is analyzed rotor on the whole in conjunction with 3D hologram spectrum and axle; In conjunction with existing typical fault type, thereby determine its fault type.
8. condition monitoring for rotating machinery according to claim 7 and method for diagnosing faults, it is characterized in that, in described the 4th step, specific implementation is: go average, filtering noise namely to obtain the time domain waveform of X, Y-direction at the data-signal of the sensor collection of the horizontal X of certain supporting section, vertical Y two orthogonal directions rotor; X, Y time-domain signal are carried out the FFT conversion obtain X, Y-direction amplitude spectrum separately; Get respectively X, Y-direction front M frequency component, amplitude and phase place;
Bring formula into
S in the formula
x, c
xSine term and the cosine term coefficient of difference representation signal x; s
y, c
ySine term and the cosine term coefficient of difference representation signal y; ω is the power frequency rotational frequency, and the vibration of trying to achieve the different frequency place is oval, then carries out data fusion and can consist of the two-dimension holographic spectrogram, the data in a plurality of cross sections is merged obtain the 3D hologram spectrogram and axle is the space vibration shape;
X, the Y-direction amplitude spectrum separately of trying to achieve under the different rotating speeds are merged the waterfall figure that obtains rotor cross section X, Y-direction; Two-dimension holographic spectrum under the different rotating speeds merges and obtains holographic waterfall figure.
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