CN109100103A - Based on blower 1p signal recognition method, device, terminal and the computer readable storage medium continuously monitored - Google Patents
Based on blower 1p signal recognition method, device, terminal and the computer readable storage medium continuously monitored Download PDFInfo
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- CN109100103A CN109100103A CN201810738808.8A CN201810738808A CN109100103A CN 109100103 A CN109100103 A CN 109100103A CN 201810738808 A CN201810738808 A CN 201810738808A CN 109100103 A CN109100103 A CN 109100103A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M7/00—Vibration-testing of structures; Shock-testing of structures
- G01M7/02—Vibration-testing by means of a shake table
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
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- Control Of Positive-Displacement Air Blowers (AREA)
Abstract
It is a kind of based on the blower 1p signal recognition method continuously monitored, comprising: obtain the structural dynamic response of blower；The structural dynamic response of the blower is decomposed into several intrinsic mode functions；Each intrinsic mode function is converted to obtain corresponding instantaneous frequency, and calculates the instantaneous frequency mean value of each intrinsic mode function；It is located at the intrinsic mode function of low frequency section as effective intrinsic mode function using the instantaneous frequency mean value, and using the sum of described effective intrinsic mode function as target intrinsic mode function, the low frequency section is the frequency range lower than 1Hz；It identifies the corresponding frequency of the target intrinsic mode function and establishes steady state picture, 1p frequency is extracted according to the steady state picture.It is provided by the invention that 1p signal can effectively be identified based on the blower 1p signal recognition method, device, terminal and the computer readable storage medium that continuously monitor and extract 1p frequency, effective and reliable automation means are provided for blower fan structure monitoring.
Description
Technical field
The invention belongs to blower modal analysis technique fields, are a kind of based on the blower 1p continuously monitored specifically
Signal recognition method, device, terminal and computer readable storage medium.
Background technique
With the improvement of people's environmental awareness, the needs of clean energy resource are growing, welcome wind-powered electricity generation industry good
Opportunity to develop.Blower is built in wilderness no man's land more, and wind speed is larger, bad environments, it is difficult to be safeguarded at arrival scene.Especially
It is offshore wind turbine, environment is more severe and is more difficult to reach, and measurement maintenance is made to face huge challenge.
In order to realize the continuous monitoring of blower, some on-line monitoring systems come into being.Currently, on-line monitoring system is transported more
The signals such as 3p (three times revolving speed driving frequency), 6p (six times of revolving speed driving frequencies) for monitoring blower, for 1p (one times of revolving speed
Driving frequency) signal is difficult to efficiently identify observation, have the obvious disadvantage that.
Summary of the invention
For overcome the deficiencies in the prior art, the present invention provides a kind of based on the signal identification side blower 1p continuously monitored
Method, device, terminal and computer readable storage medium can effectively identify 1p signal and extract 1p frequency, monitor for blower fan structure
Effective and reliable automation means are provided.
The purpose of the present invention is achieved through the following technical solutions:
It is a kind of based on the blower 1p signal recognition method continuously monitored, comprising:
Obtain the structural dynamic response of blower；
The structural dynamic response of the blower is decomposed into several intrinsic mode functions；
Each intrinsic mode function is converted to obtain corresponding instantaneous frequency, and is calculated described each intrinsic
The instantaneous frequency mean value of mode function；
It is located at the intrinsic mode function of low frequency section as effective intrinsic mode function using the instantaneous frequency mean value, and with
The sum of described effective intrinsic mode function is used as target intrinsic mode function, and the low frequency section is the frequency range lower than 1Hz；
It identifies the corresponding frequency of the target intrinsic mode function and establishes steady state picture, 1p frequency is extracted according to the steady state picture
Rate.
As an improvement of the above technical solution, described " to identify the corresponding frequency of the target intrinsic mode function and establish
Steady state picture " includes:
Establish separate manufacturing firms equation；
According to the frequency, damping ratio of the separate manufacturing firms equation and the Calculation of Structural Dynamic Responses blower of the blower
With Mode Shape；
Steady state picture is established according to the frequency of the blower and Mode Shape.
As a further improvement of the above technical scheme, described to be transformed to Hilbert transform.
As a further improvement of the above technical scheme, the structural dynamic response of the blower is acceleration, speed or position
Move response.
As a further improvement of the above technical scheme, " structural dynamic response for obtaining blower " includes:
Determine the when not variable period of blower；
Obtain the blower not structural dynamic response in variable period when described.
It is a kind of based on the blower 1p signal recognition device continuously monitored, comprising:
Module is obtained, for obtaining the structural dynamic response of blower；
Decomposing module, for the structural dynamic response of the blower to be decomposed into several intrinsic mode functions；
Conversion module for being converted each intrinsic mode function to obtain corresponding instantaneous frequency, and is counted
Calculate the instantaneous frequency mean value of each intrinsic mode function；
Screening module, for being located at the intrinsic mode function of low frequency section using the instantaneous frequency mean value as effectively intrinsic
Mode function, and using the sum of described effective intrinsic mode function as target intrinsic mode function, the low frequency section be lower than
The frequency range of 1Hz；
Identification module the corresponding frequency of the target intrinsic mode function and establishes steady state picture for identification, according to stable state
Figure extracts 1p frequency.
As an improvement of the above technical solution, described to be transformed to Hilbert transform.
As a further improvement of the above technical scheme, the identification module includes:
Submodule is modeled, for establishing separate manufacturing firms equation；
Submodule is identified, for the Calculation of Structural Dynamic Responses wind according to the separate manufacturing firms equation and the blower
The frequency, damping ratio and Mode Shape of machine；
Steady state picture submodule, for establishing steady state picture according to the frequency and Mode Shape of the blower；
Extracting sub-module, for extracting 1p frequency according to the steady state picture.
A kind of terminal, including memory and processor, the memory is for storing computer program, the processor
The computer program is executed so that the terminal is realized described in any of the above item based on the blower 1p signal knowledge continuously monitored
Other method.
A kind of computer readable storage medium is stored with the computer program performed by the terminal.
The beneficial effects of the present invention are:
It is decomposed by the structural dynamic response to blower and obtains corresponding hilbert spectrum with being converted, and select it
In in low-frequency range the corresponding assertive evidence mode function of intensity soprano as target intrinsic mode function, it is intrinsic to target
Mode function, which is identified, to be obtained respective frequencies and establishes steady state picture, is extracted 1p frequency according to steady state picture, is realized 1p signal
Automatic identification has significant validity and accuracy of identification.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the flow chart based on the blower 1p signal recognition method continuously monitored that the embodiment of the present invention 1 provides；
Fig. 2 is the process for the step A based on the blower 1p signal recognition method continuously monitored that the embodiment of the present invention 1 provides
Figure；
Fig. 3 is the sensor being related to based on the blower 1p signal recognition method continuously monitored that the embodiment of the present invention 1 provides
Disposed axle geodesic structure schematic diagram；
Fig. 4 is the acceleration responsive based on the blower 1p signal recognition method continuously monitored that the embodiment of the present invention 1 provides
Time domain distribution map；
Fig. 5 is the intrinsic mode letter based on the blower 1p signal recognition method continuously monitored that the embodiment of the present invention 1 provides
Several time domain distribution maps；
Fig. 6 is the process for the step E based on the blower 1p signal recognition method continuously monitored that the embodiment of the present invention 1 provides
Figure；
Fig. 7 is the steady state picture obtained based on the blower 1p signal recognition method continuously monitored that the embodiment of the present invention 1 provides；
Fig. 8 is the steady state picture obtained based on conventional method；
Fig. 9 is the Campbell obtained based on the blower 1p signal recognition method continuously monitored that the embodiment of the present invention 1 provides
Figure；
Figure 10 is the structural representation based on the blower 1p signal recognition device continuously monitored that the embodiment of the present invention 2 provides
Figure；
Figure 11 is the acquisition module based on the blower 1p signal recognition device continuously monitored that the embodiment of the present invention 2 provides
Structural schematic diagram；
Figure 12 is the identification module based on the blower 1p signal recognition device continuously monitored that the embodiment of the present invention 2 provides
Structural schematic diagram；
Figure 13 is the structural schematic diagram for the terminal that the embodiment of the present invention 3 provides.
Main element symbol description:
100- obtains module, 111- period submodule, 112- based on the blower 1p signal recognition device continuously monitored, 110-
Acquisition submodule, 120- decomposing module, 130- conversion module, 140- screening module, 150- identification module, 151- model submodule
Block, 152- identify submodule, 153- steady state picture submodule, 154- extracting sub-module, 200- terminal, 210- memory, at 220-
Manage device, 230- input unit, 240- display unit, 300- blower, 310- pylon, 320- cabin, 400- sensor.
Specific embodiment
To facilitate the understanding of the present invention, below with reference to relevant drawings to based on the signal identification side blower 1p continuously monitored
Method, device, terminal and computer readable storage medium are described more fully.It is given in attached drawing based on the wind continuously monitored
Machine 1p signal recognition method, device, terminal and computer readable storage medium preferred embodiment.But based on continuous monitoring
Blower 1p signal recognition method, device, terminal and computer readable storage medium can be by many different forms come real
It is existing, however it is not limited to embodiment described herein.On the contrary, purpose of providing these embodiments is makes to based on continuously monitoring
Blower 1p signal recognition method, device, the disclosure of terminal and computer readable storage medium are more thorough and comprehensive.
It should be noted that it can directly on the other element when element is referred to as " being fixed on " another element
Or there may also be elements placed in the middle.When an element is considered as " connection " another element, it, which can be, is directly connected to
To another element or it may be simultaneously present centering elements.On the contrary, when element is referred to as " directly existing " another element "upper",
There is no intermediary elements.Term as used herein "vertical", "horizontal", "left" and "right" and similar statement are
For illustrative purposes.
Unless otherwise defined, all technical and scientific terms used herein and belong to technical field of the invention
The normally understood meaning of technical staff is identical.Herein based on blower 1p signal recognition method, the device, terminal continuously monitored
Being only for the purpose of describing specific embodiments with the term used in the description of computer readable storage medium is not
It is intended to limit the present invention.Term " and or " used herein include the arbitrary of one or more relevant listed items and
All combinations.
Embodiment 1
Referring to Fig. 1, the present embodiment provides a kind of based on the blower 1p signal recognition method continuously monitored, this method includes
Step A~E:
Step A: the structural dynamic response of blower 300 is obtained.Wherein, structural dynamic response refers to blower 300 in power lotus
Lower speed, acceleration, the displacement etc. generated of load effect.In practical application, the structural dynamic response of required acquisition be can be by adding
The acceleration signal of velocity sensor acquisition, is also possible to the speed signal or displacement signal by displacement sensor.
Exemplarily, in the present embodiment, the structural dynamic response of blower 300 is acceleration responsive.Referring to Fig. 2,
Under the conditions of continuous monitoring, step A may include step A1~A2:
Step A1: the when not variable period of blower 300 is determined.Wherein, not revolving speed, pitch of the variable period according to blower 300 when
Angle and 320 corner of cabin determine.Blower 300 needs to adjust revolving speed, propeller pitch angle and cabin 320 etc. in real time according to wind direction and wind speed
Relevant parameter belongs to the Time variable structure for being difficult to accurately measure to guarantee preferable energy conversion efficiency.In order to carry out effective essence
Really monitoring, it is thus necessary to determine that when not variable period.When not in variable period, blower 300 is constant when meeting it is assumed that i.e. its architectural characteristic can
Think not changing over time.
Step A2: the not structural dynamic response in variable period when described of blower 300 is obtained.
Referring to Fig. 3, in an actual monitoring example, the pylon 310 of blower 300 is along height trisection, and in trisection
Four points at be respectively arranged acquisition unit.Wherein, the bottom end of pylon 310 is 4Q, at one into simple structure, it is only necessary at 4Q
Periphery arrange a sensor 400, the acquisition of structural dynamic response can be realized.Exemplarily, sensor 400, which can be, adds
The types such as velocity sensor or displacement sensor.Supplementary explanation, Fig. 4 show the collected acceleration responsive of sensor 400 letter
Number.
Step B: the structural dynamic response of the blower 300 is decomposed into several intrinsic mode functions.Intrinsic mode function
That is Intrinsic Mode Function (imf), should meet the following conditions: (1) on entire signal length, the pole of function
Value point it is equal with zero crossing number or at most difference one；(2) at any time, the coenvelope line defined by function maximum with
The average value of the lower envelope line defined by minimum is zero, i.e., envelope is symmetrical with time shaft up and down.Supplementary explanation, Fig. 5 are shown
Decompose the time domain distribution map (imf1~6) of obtained each intrinsic mode function.
Step C: converting each intrinsic mode function to obtain corresponding instantaneous frequency, and calculates described every
The instantaneous frequency mean value of one intrinsic mode function.Exemplarily, described to be transformed to Hilbert transform.It should be appreciated that each
Mode function is levied after Hilbert transform, a series of instantaneous frequency will be obtained.Same intrinsic mode function will be corresponded to
Instantaneous frequency carry out mean value seek to get arrive the intrinsic mode function instantaneous frequency mean value.
Step D: the intrinsic mode function of low frequency section is located at as effective intrinsic mode letter using the instantaneous frequency mean value
Number, and using the sum of described effective intrinsic mode function as target intrinsic mode function, the low frequency section is the frequency lower than 1Hz
Rate range.
In other words, the intrinsic mode function for meeting the following conditions is effective intrinsic mode function: instantaneous frequency mean value position
In low frequency section.And then all effective intrinsic mode functions are added, and as target intrinsic mode function.
Step E: identifying the corresponding frequency of the target intrinsic mode function and establish steady state picture, extracts 1p according to steady state picture
Frequency.Wherein, steady state picture is used to indicate the position of system pole.Since the global characteristics that pole is system (show as wind herein
The frequency of machine 300), with the increase of model order, the system pole extracted by the increased mathematical model of order will repeat
It is existing, and characterized on same figure, the physics pole of structure is found out will pass through observation pole distribution.In turn, to steady state picture into
1p frequency can be obtained in row feature extraction.It should be appreciated that 1p frequency is less than the fundamental frequency of blower 300.
Referring to Fig. 6, exemplarily, step E includes step E1~E4:
Step E1: separate manufacturing firms equation is established.Structural dynamic response of the separate manufacturing firms equation based on discretization
And establish, mathematical connection is established between structural dynamic response and the frequency, damping ratio of blower 300, Mode Shape.In this implementation
In example, the concrete form of separate manufacturing firms equation are as follows:
In formula, xkFor discrete state vector, ykFor discrete output vector, wk、νkFor white noise item, ε is adding for blower 300
One of speed, speed and displacement, AεFor discrete state matrix, CεFor discrete output matrix.
Step E2: according to the frequency of the separate manufacturing firms equation and the Calculation of Structural Dynamic Responses blower 300 of blower 300
Rate, damping ratio and Mode Shape.
Step E3: steady state picture is established according to the frequency of blower 300 and Mode Shape.Fig. 7 shows execution step E3 and obtains
A practical steady state picture.
Step E4: 1p frequency is extracted according to steady state picture.According to Fig. 7, the fundamental frequency that can accurately extract to obtain blower 300 is
0.6Hz, 1p frequency are 0.41Hz.Fig. 8 shows the steady state picture obtained based on conventional method, which lacks in low frequency region
Apparent extreme's distribution, it is difficult to which extraction obtains 1p frequency.And based on provided in this embodiment based on the blower 1p continuously monitored
The steady state picture (Fig. 7) that signal recognition method obtains has extreme's distribution that is significant and concentrating in low frequency region, is 1p frequency
Observation and extraction provide reliable basis.
Supplementary explanation, 1p frequency are caused by the Tiny Mass difference between blade.When the blades rotate at high speed, the small matter
The exciting force with fixed frequency can be generated to wind tower by measuring difference, which is the driving frequency of one times of revolving speed.
As a result, it can further progress correlation analysis according to aforementioned identification.For example, calculating the constant week when described of blower 300
Mean speed in phase, and obtain required amount of frequency-mean speed number pair, according to the frequency-mean speed number to building
Vertical Campbell chart.Specifically, the continuous when not variable period of monitoring preset quantity, obtains corresponding blower of constant period in per a period of time
300 frequencies and mean speed, to obtain frequency-mean speed number pair.According to a plurality of frequencies-mean speed number pair
It establishes based on the Campbell chart continuously monitored, to analyze the structural modal of blower 300.
For example, continuously monitoring based on the acceleration up to 2 years, it is established the Campbell chart that long term monitoring obtains.Fig. 9
The Campbell chart continuously monitored according to acceleration is shown, according to available the monitored blower of the Campbell chart
300 1p frequency (0.41Hz).
Embodiment 2
Referring to Fig. 10, the present embodiment provides a kind of based on the blower 1p signal recognition device 100 continuously monitored, the device
Include:
Module 110 is obtained, for obtaining the structural dynamic response of blower 300；
Decomposing module 120, for the structural dynamic response of the blower 300 to be decomposed into several intrinsic mode functions；
Conversion module 130, for being converted to each intrinsic mode function to obtain corresponding instantaneous frequency, and
Calculate the instantaneous frequency mean value of each intrinsic mode function；
Screening module 140, for being located at the intrinsic mode function of low frequency section using the instantaneous frequency mean value as effectively
Intrinsic mode function, and using the sum of described effective intrinsic mode function as target intrinsic mode function, the low frequency section is
Frequency range lower than 1Hz；
Identification module 150 the corresponding frequency of the target intrinsic mode function and establishes steady state picture for identification, according to steady
State figure extracts 1p frequency.
Figure 11 is please referred to, exemplarily, the acquisition module 110 includes:
Period submodule 111, for determining the when not variable period of blower 300；
Acquisition submodule 112, for obtaining the not structural dynamic response in variable period when described of blower 300.
Figure 12 is please referred to, exemplarily, the identification module 150 includes:
Submodule 151 is modeled, for establishing separate manufacturing firms equation；
Submodule 152 is identified, for the structural dynamic response according to the separate manufacturing firms equation and the blower 300
Calculate the frequency, damping ratio and Mode Shape of blower 300；
Steady state picture submodule 153, for establishing steady state picture according to the frequency and Mode Shape of the blower 300；
Extracting sub-module 154, for extracting 1p frequency according to the steady state picture.
Embodiment 3
Figure 13 is please referred to, the present embodiment provides a kind of terminal 200, which includes memory 210 and processor
220, memory 210 executes computer program so that terminal 200 realizes the above institute for storing computer program, processor 220
State based on the blower 1p signal recognition method continuously monitored.
Wherein, terminal 200 includes the terminal device (such as computer, server etc.) for not having mobile communication ability, also
Including mobile terminal (such as smart phone, tablet computer, vehicle-mounted computer, intelligent wearable device etc.).
Memory 210 may include storing program area and storage data area.Wherein, storing program area can storage program area,
Application program needed at least one function (such as sound-playing function, image player function etc.) etc.；Storage data area can deposit
Storage uses created data (such as audio data, backup file etc.) etc. according to terminal 200.In addition, memory 210 can be with
It can also include nonvolatile memory (for example, at least disk memory, a flash memory including high-speed random access memory
Device or other volatile solid-state parts).
Preferably, terminal 200 further includes input unit 230 and display unit 240.Wherein, input unit 230 is for receiving
The instructions or parameter (including default roll mode, prefixed time interval and default rolling number) of user's input, including mouse
Mark, keyboard, touch panel and other input equipments.Display unit 240 for display terminal 200 various output informations (including
Webpage, parameter configuration interface etc.), including display panel.
A kind of computer readable storage medium is provided in this together, is stored with the computer performed by terminal 200
Program.
In several embodiments provided herein, it should be understood that disclosed device and method can also pass through
Other modes are realized.The apparatus embodiments described above are merely exemplary, for example, flow chart and structure in attached drawing
Figure shows the system frame in the cards of the device of multiple embodiments according to the present invention, method and computer program product
Structure, function and operation.In this regard, each box in flowchart or block diagram can represent a module, section or code
A part, a part of the module, section or code includes one or more for implementing the specified logical function
Executable instruction.
It should also be noted that function marked in the box can also be attached to be different from the implementation as replacement
The sequence marked in figure occurs.For example, two continuous boxes can actually be basically executed in parallel, they sometimes may be used
To execute in the opposite order, this depends on the function involved.
It is also noted that in each box and structure chart and/or flow chart in structure chart and/or flow chart
The combination of box can be realized with the dedicated hardware based system for executing defined function or movement, or can be used
The combination of specialized hardware and computer instruction is realized.
In addition, each functional module or unit in each embodiment of the present invention can integrate one independence of formation together
Part, be also possible to modules individualism, an independent part can also be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be intelligence
Can mobile phone, personal computer, server or network equipment etc.) execute each embodiment the method for the present invention whole or
Part steps.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory),
Random access memory (RAM, Random Access Memory), magnetic or disk etc. be various to can store program code
Medium.
In all examples being illustrated and described herein, any occurrence should be construed as merely illustratively, without
It is as limitation, therefore, other examples of exemplary embodiment can have different values.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
Limitation of the scope of the invention therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art,
Without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection model of the invention
It encloses.Therefore, protection scope of the present invention should be determined by the appended claims.
Claims (10)
1. a kind of based on the blower 1p signal recognition method continuously monitored characterized by comprising
Obtain the structural dynamic response of blower；
The structural dynamic response of the blower is decomposed into several intrinsic mode functions；
Each intrinsic mode function is converted to obtain corresponding instantaneous frequency, and calculates each intrinsic mode
The instantaneous frequency mean value of function；
It is located at the intrinsic mode function of low frequency section as effective intrinsic mode function using the instantaneous frequency mean value, and with described
The sum of effective intrinsic mode function is used as target intrinsic mode function, and the low frequency section is the frequency range lower than 1Hz；
It identifies the corresponding frequency of the target intrinsic mode function and establishes steady state picture, 1p frequency is extracted according to the steady state picture.
2. according to claim 1 based on the blower 1p signal recognition method continuously monitored, which is characterized in that " identification institute
State the corresponding frequency of target intrinsic mode function and establish steady state picture " include:
Establish separate manufacturing firms equation；
According to the frequency, damping ratio and mould of the separate manufacturing firms equation and the Calculation of Structural Dynamic Responses blower of the blower
The state vibration shape；
Steady state picture is established according to the frequency of the blower and Mode Shape.
3. according to claim 1 based on the blower 1p signal recognition method continuously monitored, which is characterized in that the transformation
For Hilbert transform.
4. according to claim 1 based on the blower 1p signal recognition method continuously monitored, which is characterized in that the blower
Structural dynamic response be acceleration, speed or dynamic respond.
5. according to claim 4 based on the blower 1p signal recognition method continuously monitored, which is characterized in that " obtain wind
The structural dynamic response of machine " includes:
Determine the when not variable period of blower；
Obtain the blower not structural dynamic response in variable period when described.
6. a kind of based on the blower 1p signal recognition device continuously monitored characterized by comprising
Module is obtained, for obtaining the structural dynamic response of blower；
Decomposing module, for the structural dynamic response of the blower to be decomposed into several intrinsic mode functions；
Conversion module for being converted each intrinsic mode function to obtain corresponding instantaneous frequency, and calculates institute
State the instantaneous frequency mean value of each intrinsic mode function；
Screening module, for being located at the intrinsic mode function of low frequency section using the instantaneous frequency mean value as effective intrinsic mode
Function, and using the sum of described effective intrinsic mode function as target intrinsic mode function, the low frequency section is lower than 1Hz's
Frequency range；
Identification module the corresponding frequency of the target intrinsic mode function and is established steady state picture for identification, is mentioned according to steady state picture
Take 1p frequency.
7. according to claim 6 based on the blower 1p signal recognition device continuously monitored, which is characterized in that the transformation
For Hilbert transform.
8. according to claim 7 based on the blower 1p signal recognition device continuously monitored, which is characterized in that the identification
Module includes:
Submodule is modeled, for establishing separate manufacturing firms equation；
Submodule is identified, for according to the separate manufacturing firms equation and the Calculation of Structural Dynamic Responses blower of the blower
Frequency, damping ratio and Mode Shape；
Steady state picture submodule, for establishing steady state picture according to the frequency and Mode Shape of the blower；
Extracting sub-module, for extracting 1p frequency according to the steady state picture.
9. a kind of terminal, which is characterized in that including memory and processor, the memory is used to store computer program,
The processor executes the computer program so that the terminal realizes the company of being based on according to any one of claims 1 to 5
The blower 1p signal recognition method of continuous monitoring.
10. a kind of computer readable storage medium, which is characterized in that it is stored with performed by terminal as claimed in claim 9
The computer program.
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| CN201810738808.8A CN109100103B (en) | 2018-07-06 | 2018-07-06 | Fan 1p signal identification method, device, terminal and computer readable storage medium based on continuous monitoring |
| PCT/CN2019/098094 WO2020007375A1 (en) | 2018-07-06 | 2019-07-29 | Continuous monitoring-based method and device for identifying 1p signal of wind turbine, terminal, and computer readable storage medium |
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| CN201810738808.8A CN109100103B (en) | 2018-07-06 | 2018-07-06 | Fan 1p signal identification method, device, terminal and computer readable storage medium based on continuous monitoring |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020007375A1 (en) * | 2018-07-06 | 2020-01-09 | 哈尔滨工业大学（深圳） | Continuous monitoring-based method and device for identifying 1p signal of wind turbine, terminal, and computer readable storage medium |
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| WO2020007375A1 (en) * | 2018-07-06 | 2020-01-09 | 哈尔滨工业大学（深圳） | Continuous monitoring-based method and device for identifying 1p signal of wind turbine, terminal, and computer readable storage medium |
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| CN109100103B (en) | 2020-04-14 |
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