CN103323274B - Condition monitoring for rotating machinery and fault diagnosis system and method - Google Patents
Condition monitoring for rotating machinery and fault diagnosis system and method Download PDFInfo
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Abstract
The invention provides a kind of condition monitoring for rotating machinery and fault diagnosis system and method, described system comprises: data acquisition subsystem, holographic analysis of spectrum subsystem and space vibration modal analysis subsystem, described data acquisition subsystem utilizes sensor by the signal that collects through every directly, holographic analysis of spectrum subsystem and space vibration modal analysis subsystem is delivered to after filtering process, space vibration modal analysis subsystem first carries out the look-ahead analysis of time domain waveform and amplitude spectrum, tentatively determine the fault that the rotor-support-foundation system of rotating machinery is possible, extract its fault signature further by holographic analysis of spectrum subsystem and axle system space vibration modal analysis subsystem and diagnose out its failure cause.The present invention can when rotating machinery works online by the Vibration Condition of data acquisition subsystem monitoring rotor-support-foundation system, improves the security of rotor-support-foundation system work and the economic loss brought of power generating ratio; More press close to engineering reality.
Description
Technical field
The present invention relates to the condition monitoring and fault diagnosis field of rotating machinery, particularly, relate to a kind of rotor-support-foundation system condition monitoring and diagnosis system and method based on holographic spectral technology and the axle system space vibration shape.
Background technology
Rotating machinery is widely used in many key areas such as power, electric power, chemical industry, metallurgy and machine-building, the key equipment normally in 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 time serious to national economy, even causes the accident of fatal crass.For ensureing unit safety operation, reduce unit maintenance cost and improve unit utilization factor, the condition monitoring and fault diagnosis for rotating machinery is very necessary.In order to the energy consumption realizing large rotating machinery equipment reduces and cost control, need to utilize certain means to carry out condition monitoring and fault diagnosis to the rotor-support-foundation system in work, and in a planned way it is repaired or replaced according to its health status.
Application signal processing method extracts vibration signal and carries out feature extraction, and then diagnoses out the health status of plant equipment, is the important research direction in mechanical fault diagnosis field.Holographic spectrum overcomes the defect that the amplitude of the vibration signal that traditional analysis of spectrum causes and phase place are separated from each other, and is merged by the vibration information of rotor in the horizontal and vertical of a bearing cross section; The synthesis oscillation situation of rotor in a bearing cross section can be expressed accurately and visually, and the Relative Vibration situation in multiple cross section.Large rotating machinery is rotor support system more than, and axle system comprises many roots rotors usually, in rotating machinery Fault monitoring and diagnosis, based on the vibration analysis method significant of axle system bending vibation mode picture.The superposition of two-dimension holographic spectrum under each rotating speed of holographic Waterfall plot, combines amplitude and phase place that vertical and horizontal direction vibrates, vibration characteristics when more effectively disclosing rotating machinery start and stop than traditional Waterfall plot.Holographic spectral technology and axle system space vibration modal analysis are with a wide range of applications, but current most holographic spectrum processing method is based on MATLAB and LABVIEW instrument, in order to meet the demand of through engineering approaches, the present invention proposes the realization based on the holographic spectral technology of VisualStudio software platform and axle system space vibration shape method, and builds related system.
Summary of the invention
For defect of the prior art, the object of the invention is the demand in order to meet through engineering approaches, the condition monitoring for rotating machinery of a kind of utilization based on the holographic spectral technology of Visual Studio software platform and the axle system space vibration shape and fault diagnosis system and method are provided, more press close to engineering reality, to meet 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:
The simulating signal collected is converted to digital signal and carries out, after straight, filtering process, delivering to holographic analysis of spectrum subsystem and space vibration modal analysis subsystem by data acquisition subsystem;
Space vibration modal analysis subsystem is the space vibration modal analysis subsystem based on Visual Studio, and the space oscillations condition curve comprising axle system is analyzed and relevant time domain waveform, frequency domain amplitude analysis of spectrum;
Holographic analysis of spectrum subsystem and space vibration modal analysis subsystem carry out feature extraction to the vibration signal collected, and then diagnose out the fault type of rotating machinery according to the vibration signal characteristics extracted, and the health status of final decision rotating machinery provide the treatment advice of corresponding health status;
Described data acquisition subsystem utilizes sensor by the signal collected through delivering to holographic analysis of spectrum subsystem and space vibration modal analysis subsystem after straight, filtering process, space vibration modal analysis subsystem first carries out the look-ahead analysis of time domain waveform and amplitude spectrum, tentatively determine the fault that the rotor-support-foundation system of rotating machinery is possible, extract its fault signature further by holographic analysis of spectrum subsystem and axle system space vibration modal analysis subsystem and diagnose out its failure cause.
Preferably, the 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 plot analysis module; Holographic analysis of spectrum subsystem is the further analysis and treament to the data that described data acquisition subsystem obtains.
The rotor oscillation signal that the radial transducer in horizontal and vertical direction records by analysis of orbit module merges, and what intactly describe rotor radially bends vibration;
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 overcome the vibration signal that traditional analysis of spectrum causes are separated from each other, the defect 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, employing 3D hologram spectrum carries out information description, 3D hologram profiling be the vibration information of multiple supporting section, utilize 3D hologram to compose the fault signature extracting the multiple shafting system of rotating machinery;
Holographic Waterfall plot analysis module, employing Waterfall plot or holographic Waterfall plot carry out information description, and wherein Waterfall plot is the effective tool analyzing rotating machinery start and stop process, it be in fact raising speed or reduction of speed time each amplitude spectrum superposition; Holographic Waterfall plot be then raising speed or reduction of speed time each rotating speed under the superposition of two-dimension holographic spectrum; Because it combines amplitude and phase place that vertical and horizontal direction vibrates, vibration characteristics when more effectively disclosing rotating machinery start and stop than traditional Waterfall plot.
According to another aspect of the present invention, a kind of condition monitoring for rotating machinery and method for diagnosing faults are provided, comprise the steps:
The first step, first installs acceleration, displacement transducer, signal transmssion line on rotating machinery to be monitored;
Second step, input system parameter, acquisition parameter, sensor parameters in data acquisition subsystem, data store correlation parameter etc.;
3rd step, the data collected store by data acquisition subsystem;
4th step, the sampling number N of inputted vibration signal, sample frequency Fs, the number of cross sections A that analyze, the quantity M of the frequency component that analyze and want the amplitude restriction factor etc. of analytic signal; Utilize holographic analysis of spectrum subsystem to carry out Treatment Analysis to the signal collected, draw the time domain beamformer that two, certain cross section orthogonal directions is corresponding, amplitude spectrum, Chart of axes track, two-dimension holographic spectrogram, Waterfall plot, holographic spectrum Waterfall plot; Utilize axle system space vibration modal analysis subsystem to carry out Treatment Analysis to the signal collected and draw time domain beamformer corresponding to certain direction, each cross section, amplitude spectrum, space bending vibation mode picture etc.
In this step, concrete treatment step is: the look-ahead analysis first vibration signal in rotor certain cross section under a certain rotating speed being carried out to time domain waveform and amplitude spectrum, time domain waveform when contrasting normal and spectrogram, and the time domain waveform of typical fault and spectrogram, tentatively determine the fault that the rotor-support-foundation system of rotating machinery is possible; Extract the fault signature in rotor certain cross section under a certain rotating speed further 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 obvious, the operation characteristic of rotor-support-foundation system in whole start and stop process can be analyzed in conjunction with Waterfall plot and holographic Waterfall plot, then the vibration data of a certain specific rotation speeds lower rotor part is analyzed.The particular cross section broken down as can not determine, can analyze the Vibration Condition of rotor on the whole in conjunction with 3D hologram spectrum and the axle system space vibration shape.In conjunction with existing typical fault type, thus determine its fault type.
5th step, diagnoses out the health status of rotating machinery, and then provides treatment advice according to the feature of system extraction vibration signal.
In this step, after extracting rotor fault feature by above various signal processing method, contrast characteristic parameter time rotor normally runs, and its typical fault type parameter, diagnose out the health status of rotary machine rotor system.As: for Rubbing faults: the vibrational waveform of rotor horizontal and vertical directions all exists " cutting top " phenomenon, this phenomenon meets the feature performance of Rubbing faults in time domain waveform.All there is 1 frequency multiplication in the vibration of rotor horizontal and vertical directions, various high order frequency composition, belong to the frequency domain character touching mill described in list of references, i.e. 1 frequency multiplication, high low order frequency multiplication and mixing harmonic wave.The sudden change of cusp and the track formed owing to touching mill can be clear that by filtering orbit of shaft center.And in two-dimension holographic spectrogram 2 frequencys multiplication and 3 frequency multiplication ellipses less, illustrate that rotor centering is good, stressed comparatively even, and the precession direction of 2 frequencys multiplication is contrary with the precession direction of 1 frequency multiplication also meets the fault signature touching mill.
Compared with prior art, the present invention has following beneficial effect:
1. the object of the invention is the demand in order to meet through engineering approaches, the condition monitoring for rotating machinery of a kind of utilization based on the holographic spectral technology of Visual Studio software platform and the axle system space vibration shape and method for diagnosing faults are provided, more press close to engineering reality, to meet engineering demand;
2. present invention achieves rotating machinery in working order under health monitoring, do not need shutdown inspection, eliminate commercial production impact and economic loss that traditional stopped status monitoring method brings;
3. the present invention according to the monitoring and diagnosis of the health status to rotatory mechanical system, thus can maintain rotating machinery and changes targetedly, avoids the serious consequence caused because fault is undiscovered, improves the security of rotating machinery.
Accompanying drawing explanation
By reading the detailed description done non-limiting example with reference to the following drawings, other features, objects and advantages of the present invention will become more obvious:
Fig. 1 is the system assumption diagram of present system.
Fig. 2 is based on Visual Studio holographic spectral technology implementation algorithm process flow diagram.
Fig. 3 is rotary machine rotor system and sensor scheme of installation.
Fig. 4 is holographic analysis of spectrum subsystem interfaces one.
Fig. 5 is holographic analysis of spectrum subsystem interfaces two.
Embodiment
Below in conjunction with specific embodiment, the present invention is described in detail.Following examples will contribute to those skilled in the art and understand the present invention further, but not limit the present invention in any form.It should be pointed out that to those skilled in the art, without departing from the inventive concept of the premise, some distortion and improvement can also be made.These all belong to protection scope of the present invention.
Attachedly Figure 1 shows that system assumption diagram of the present invention, comprising: data acquisition subsystem, holographic analysis of spectrum subsystem, space vibration modal analysis subsystem, wherein:
Data acquisition subsystem comprises: system parameter setting, acquisition parameter are arranged, sensor parameters is arranged, 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 plot analysis etc.;
The space oscillations condition curve that space vibration modal analysis subsystem based on Visual Studio comprises axle system is analyzed and relevant time domain waveform, frequency domain amplitude analysis of spectrum etc.
The simulating signal collected is converted to digital signal and carries out certain after the process such as straight, filtering by data acquisition subsystem, delivers to holographic analysis of spectrum subsystem and axle system space vibration modal analysis subsystem;
Holographic analysis of spectrum subsystem and space vibration modal analysis subsystem carry out feature extraction to the vibration signal collected, and then diagnose out the fault type of rotating machinery according to the vibration signal characteristics extracted, and the health status of final decision rotating machinery provide the treatment advice of corresponding health status.
In accompanying drawing 1, the application of the operating process of native system that what each block diagram represented is: utilize displacement transducer by the displacement signal collected through first carrying out the look-ahead analysis of time domain waveform and amplitude spectrum after straight, filtering process, tentatively determine the fault that the rotor-support-foundation system of rotating machinery is possible, extract its fault signature further by orbit of shaft center and two-dimension holographic spectrum and diagnose out its failure cause.For the multiple shafting system of rotating machinery, then utilize 3D hologram spectrum and axle system space mode curve to extract its fault signature, and then diagnose out its fault type.In the startup and stopping process of rotating machinery, then utilize holographic Waterfall plot to extract fault signature; The superposition of two-dimension holographic spectrum under each rotating speed of holographic Waterfall plot, combines amplitude and phase place that vertical and horizontal direction vibrates, vibration characteristics when more effectively disclosing rotating machinery start and stop than traditional Waterfall plot.Diagnose out the health status of rotating machinery according to the feature of above system extraction vibration signal, and then provide treatment advice.
In the present embodiment, first on 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 store correlation parameter etc.; After starting working, the data collected store by data acquisition subsystem; Part II is analyzing and processing data and decision-making mainly.
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:
System parameter setting module can arrange the interval of every twice time data memory, can select the storage directory etc. of the storage class of alert data and the storage directory of data file and CONFIG.SYS;
Acquisition parameter arranges the parameter such as sampling number, sample frequency, maximum displaying time, frequency that module can arrange system;
Sensor parameters arranges the parameter such as range, type, sensitivity, coupling scheme, enlarge leadingly, high-pass filtering, low-pass filtering that module can revise separately each sensor;
Data memory module mainly comprises 3 kinds of storage modes, the timing of peak-to-peak value warning memory module, constant duration memory module, real-time manual memory module;
Data acquisition subsystem carries out preliminary analysis (as time domain waveform, amplitude spectrum etc.) and monitoring (as peak-to-peak value alert detecting, effective value alarm detection etc.) to the signal collected, and is then stored to be further analyzed process through Data classification by data memory module.
In the present embodiment, the 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 plot analysis module; Holographic analysis of spectrum subsystem is the further analysis and treament to the data that described data acquisition subsystem obtains.
The rotor oscillation signal that the radial transducer in horizontal and vertical direction records by analysis of orbit module merges, and what intactly describe rotor radially bends vibration;
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 overcome the vibration signal that traditional analysis of spectrum causes are separated from each other, the defect 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, employing 3D hologram spectrum carries out information description, 3D hologram profiling be the vibration information of multiple supporting section, utilize 3D hologram to compose the fault signature extracting the multiple shafting system of rotating machinery;
Holographic Waterfall plot analysis module, employing Waterfall plot or holographic Waterfall plot carry out information description, and wherein Waterfall plot is the effective tool analyzing rotating machinery start and stop process, it be in fact raising speed or reduction of speed time each amplitude spectrum superposition; Holographic Waterfall plot be then raising speed or reduction of speed time each rotating speed under the superposition of two-dimension holographic spectrum; Because it combines amplitude and phase place that vertical and horizontal direction vibrates, vibration characteristics when more effectively disclosing rotating machinery start and stop than traditional Waterfall plot.
Adopt said system to carry out condition monitoring for rotating machinery and fault diagnosis, comprise the steps:
The first step, first installs acceleration, displacement transducer, signal transmssion line on rotating machinery to be monitored;
Second step, input system parameter, acquisition parameter, sensor parameters in the parameter designing system of data acquisition subsystem, data store correlation parameter etc.;
3rd step, the data collected store by data acquisition subsystem;
4th step, the sampling number N of inputted vibration signal, sample frequency Fs, the number of cross sections A that analyze, the quantity M of the frequency component that analyze and want the amplitude restriction factor etc. of analytic signal; Utilize holographic analysis of spectrum subsystem to carry out Treatment Analysis to the signal collected, utilize axle system space vibration modal analysis subsystem to carry out Treatment Analysis to the signal collected.
5th step, diagnoses out the health status of rotating machinery, and then provides treatment advice according to the feature of system extraction vibration signal.
Attachedly to Figure 2 shows that based on Visual Studio holographic spectral technology implementation algorithm process flow diagram.First sampling number N, the sample frequency Fs of vibration signal is obtained, the data-signal that the horizontal X of certain supporting section, the sensor of vertical Y two orthogonal directions gather; The number of cross sections A that setting will be analyzed, the quantity M of the frequency component that analyze and want the amplitude restriction factor etc. of analytic signal; Go average, filtering noise can obtain the time domain waveform of X, Y-direction at the data-signal of the horizontal X of certain supporting section, the sensor collection of vertical Y two orthogonal directions rotor; Data fusion is carried out to the time domain waveform of X, Y-direction and can obtain orbit of shaft center; Spectrum Conversion is carried out to X, Y time-domain signal and obtains X, Y-direction amplitude spectrum separately; M frequency component, amplitude and phase place before X, Y-direction is got respectively in frequency spectrum; Bring formula into
The vibration of trying to achieve different frequency place is oval, then carries out data fusion and can form two-dimension holographic spectrogram, the data in multiple cross section are carried out fusion and can obtain 3D hologram spectrogram and the axle system space vibration shape.If read multiple file, first the quantity of institute's file reading is obtained, vibration data under the rotating speed that different file representative is different, sampling number N, the sample frequency Fs of vibration signal is obtained, the data-signal that the horizontal X of certain supporting section, the sensor of vertical Y two orthogonal directions gather from first file; The number of cross sections A that setting will be analyzed, the quantity M of the frequency component that analyze and want the amplitude restriction factor etc. of analytic signal; Rotor is removed average, filtering noise at the data-signal of the horizontal X of certain supporting section, the sensor collection of vertical Y two orthogonal directions, Spectrum Conversion is carried out to X, Y time-domain signal and obtains X, Y-direction amplitude spectrum separately; The X tried to achieve under different rotating speeds, Y-direction amplitude spectrum is separately carried out merge the Waterfall plot that can obtain rotor cross section X, Y-direction; If M frequency component, amplitude and phase place obtain X, Y-direction respectively in frequency spectrum before, and then synthesize two-dimension holographic spectrum by sine and cosine term coefficient under each rotating speed calculated, the two-dimension holographic spectrum under different rotating speeds is carried out fusion and can obtain holographic Waterfall plot.
Accompanying drawing 3 is rotary machine rotor system and sensor scheme of installation.Wherein X, Y represent the installation site of horizontal direction and vertical direction sensor respectively, and 1 and 2 represent measurement cross section 1 respectively and measure cross section.
Accompanying drawing 4 and accompanying drawing 5 are part display interfaces of the holographic analysis of spectrum subsystem based on Visual Studio in system.
The present invention can when rotating machinery works online by the Vibration Condition of data acquisition subsystem monitoring rotor-support-foundation system, improves the security of rotor-support-foundation system work and the economic loss brought of power generating ratio; Holographic analysis of spectrum subsystem and space vibration modal analysis subsystem are all realize under Visual Studio platform, more press close to engineering reality, have more engineer applied and are worth.
Above specific embodiments of the invention are described.It is to be appreciated that the present invention is not limited to above-mentioned particular implementation, those skilled in the art can make various distortion or amendment within the scope of the claims, and this does not affect flesh and blood of the present invention.
Claims (8)
1. condition monitoring for rotating machinery and a fault diagnosis system, is characterized in that, comprising: data acquisition subsystem, holographic analysis of spectrum subsystem and space vibration modal analysis subsystem, wherein:
The simulating signal collected is converted to digital signal and carries out, after straight, filtering process, delivering to holographic analysis of spectrum subsystem and space vibration modal analysis subsystem by data acquisition subsystem;
Space vibration modal analysis subsystem is the space vibration modal analysis subsystem based on Visual Studio, and the space oscillations condition curve comprising axle system is analyzed and relevant time domain waveform, frequency domain amplitude analysis of spectrum;
Holographic analysis of spectrum subsystem and space vibration modal analysis subsystem carry out feature extraction to the vibration signal collected, and then diagnose out the fault type of rotating machinery according to the vibration signal characteristics extracted, and the health status of final decision rotating machinery provide the treatment advice of corresponding health status;
Described data acquisition subsystem utilizes sensor by the signal collected through delivering to holographic analysis of spectrum subsystem and space vibration modal analysis subsystem after straight, filtering process, space vibration modal analysis subsystem first carries out the look-ahead analysis of time domain waveform and amplitude spectrum, tentatively determine the fault that the rotor-support-foundation system of rotating machinery is possible, extract its fault signature further by holographic analysis of spectrum subsystem and axle system space vibration modal analysis subsystem and diagnose out its failure cause.
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 interval of every twice time data memory of system parameter setting module installation, selects the storage directory of the storage class of alert data and the storage directory of data file and CONFIG.SYS; Acquisition parameter arranges sampling number, sample frequency, maximum displaying time, the frequency of module installation system;
Sensor parameters arranges module can revise separately the range of each sensor, type, sensitivity, coupling scheme, enlarge leadingly, high-pass filtering, low-pass filtering parameter;
Data memory module comprises 3 kinds of storage modes, the timing of peak-to-peak value warning memory module, constant duration memory module, real-time manual memory module;
Data acquisition subsystem comprises time domain waveform, the initial analysis of amplitude spectrum and peak-to-peak value alert detecting, effective value alarm detection to the signal collected, and is then stored to be further analyzed process through Data classification by data memory module.
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 comprises: analysis of orbit module, two-dimension holographic spectrum analysis module, 3D hologram analysis of spectrum module, holographic Waterfall plot analysis module; Wherein:
The rotor oscillation signal that the radial transducer in horizontal and vertical direction records by analysis of orbit module merges, and what intactly describe rotor radially bends vibration;
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 defect 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 3D hologram spectrum to carry out information description, 3D hologram profiling be the vibration information of multiple supporting section, utilize 3D hologram to compose the fault signature extracting the multiple shafting system of rotating machinery;
Holographic Waterfall plot analysis module, adopts Waterfall plot or holographic Waterfall plot to carry out information description, and wherein Waterfall plot is the effective tool analyzing rotating machinery start and stop process, it be in fact raising speed or reduction of speed time each amplitude spectrum superposition; Holographic Waterfall plot be then raising speed or reduction of speed time each rotating speed under the superposition of two-dimension holographic spectrum.
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 are all realize under Visual Studio platform.
5. condition monitoring for rotating machinery according to claim 1 and fault diagnosis system; it is characterized in that, described holographic analysis of spectrum subsystem and axle system space vibration modal analysis subsystem then utilize holographic Waterfall plot to extract fault signature in the startup and stopping process of rotating machinery.
6. adopt the condition monitoring for rotating machinery that described in claim 1, system is carried out and a method for diagnosing faults, it is characterized in that comprising the steps:
The first step, first installs acceleration transducer, displacement transducer, signal transmssion line on rotating machinery to be monitored;
Second step, in data acquisition subsystem, input system parameter, acquisition parameter, sensor parameters, data store correlation parameter;
3rd step, the data collected store by data acquisition subsystem;
4th step, sampling number N, the sample frequency Fs of inputted vibration signal, the number of cross sections A that will analyze, the quantity M of the frequency component that analyze and want the amplitude restriction factor of analytic signal; Utilize holographic analysis of spectrum subsystem to carry out Treatment Analysis to the signal collected, draw time domain beamformer corresponding to two, certain cross section orthogonal directions, amplitude spectrum, Chart of axes track, two-dimension holographic spectrogram, Waterfall plot, holographic spectrum Waterfall plot; Utilize axle system space vibration modal analysis subsystem to carry out Treatment Analysis to the signal collected and draw time domain beamformer corresponding to certain direction, each cross section, amplitude spectrum, space bending vibation mode picture;
5th step, diagnoses out the health status of rotating machinery, and then provides treatment advice according to the feature of system extraction vibration signal.
7. condition monitoring for rotating machinery according to claim 6 and method for diagnosing faults, it is characterized in that, described 4th step and the 5th step, be specially: the look-ahead analysis first vibration signal in rotor certain cross section under a certain rotating speed being carried out to time domain waveform and amplitude spectrum, time domain waveform when contrasting normal and spectrogram, and the time domain waveform of typical fault and spectrogram, tentatively determine the fault that the rotor-support-foundation system of rotating machinery is possible; Extract the fault signature in rotor certain cross section under a certain rotating speed further 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 the fault signature of rotating speed is not obvious, analyzes the operation characteristic of rotor-support-foundation system in whole start and stop process in conjunction with Waterfall plot and holographic Waterfall plot, then the vibration data of a certain specific rotation speeds lower rotor part is analyzed; The particular cross section broken down as can not determine, analyzes the Vibration Condition of rotor on the whole in conjunction with 3D hologram spectrum and the axle system space vibration shape; In conjunction with existing typical fault type, thus determine its fault type.
8. condition monitoring for rotating machinery according to claim 7 and method for diagnosing faults, it is characterized in that, described 4th step, is implemented as: go average, filtering noise namely to obtain the time domain waveform of X, Y-direction at the data-signal of the horizontal X of certain supporting section, the sensor collection of vertical Y two orthogonal directions rotor; FFT conversion is carried out to X, Y time-domain signal and obtains X, Y-direction amplitude spectrum separately; Get M frequency component, amplitude and phase place before X, Y-direction respectively;
Bring formula into
S in formula
x, c
xthe sine term of difference representation signal x and cosine term coefficient; s
y, c
ythe sine term of difference representation signal y and cosine term coefficient; ω is power frequency rotational frequency, and the vibration of trying to achieve different frequency place is oval, then carries out data fusion and can form two-dimension holographic spectrogram, the data in multiple cross section are carried out fusion and obtain 3D hologram spectrogram and the axle system space vibration shape;
The X tried to achieve under different rotating speeds, Y-direction amplitude spectrum is separately carried out merging the Waterfall plot obtaining rotor cross section X, Y-direction; Two-dimension holographic spectrum under different rotating speeds carries out fusion and obtains holographic Waterfall plot.
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