CN108038624A - Method and device for analyzing health state of wind turbine generator - Google Patents
Method and device for analyzing health state of wind turbine generator Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 49
- 230000036541 health Effects 0.000 title claims abstract description 37
- 238000011156 evaluation Methods 0.000 claims abstract description 50
- 230000003862 health status Effects 0.000 claims description 42
- 230000007257 malfunction Effects 0.000 claims description 3
- 230000005055 memory storage Effects 0.000 claims description 2
- 238000012423 maintenance Methods 0.000 abstract description 24
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Abstract
The invention discloses a method and a device for analyzing the health state of a wind turbine generator system. The method comprises the following steps: acquiring one or more fault alarm messages of the wind turbine generator; selecting a fault evaluation index and the weight of the fault evaluation index for each acquired fault warning message; obtaining fault degree information of each fault alarm information based on the fault evaluation index and the weight; and determining the health state information of the wind turbine generator according to the fault degree information of each fault warning message. The embodiment of the invention can analyze the health condition of the wind turbine generator with high precision and comprehensiveness, thereby improving the safety and reliability of the wind turbine generator and reducing the maintenance time and the maintenance cost.
Description
Technical field
The present invention relates to network communication technology field, more particularly to a kind of method of health status for analyzing Wind turbines and
Device.
Background technology
With its people to environmental protection pay attention to day by day, due to wind-power electricity generation have cleaning, free of contamination characteristic, wind-power electricity generation by
It will be widely welcomed to popular.However, since wind power plant is more in remote outlying, severe cold, high temperature, wind-force larger area, the ground
The relatively poor natural environment in area is unfavorable to Wind turbines health operation.Once Wind turbines failure, can not only lose generated energy,
And substantial amounts of maintenance time and maintenance cost can be wasted.Therefore, the whether healthy normal operation of Wind turbines, can directly influence
The level of profitability of wind power plant.
In order to improve running of wind generating set safety and reliability, reduce the Breakdown Maintenance time and maintenance cost, people taste
Examination first carries out evaluation study to Wind turbines health status.At present, Wind turbines health status monitoring is primarily directed to wind turbine
The important components such as generator, gear-box, base bearing, pylon in group.Specifically utilize particular sensor (such as temperature sensor)
All parts are monitored, carrying out health status to these components further according to monitoring result evaluates.It is used to monitor wind-powered electricity generation for example, working as
When the temperature that the temperature sensor of unit is monitored is higher or lower than threshold value, the evaluation of Wind turbines failure can be obtained.
Applicant it has been investigated that：Because wind power plant is under remote remote natural conditions more, many Wind turbines are all
Can in fault warning information fault-tolerant operation.Wherein, fault-tolerant is that problem but wouldn't shadow occurs in the non-principal equipment of Wind turbines
When ringing unit safety operation, prompted in the form of warning, unit is being just within a period of time for waiting Awaiting Overhaul or equipment and spare part
Often operation.In general, fault-tolerant ability can change with the change of time.If the warning time exceedes the time limit, equipment is still deposited
In problem, unit enters malfunction by alarm condition, needs to forbid running of wind generating set at this time.And existing method is when a prison
When there is abnormal data in some component for measuring Wind turbines, just it is dogmatic Wind turbines complete machine is evaluated as it is unhealthy, it is this
Method is not only inaccurate and not comprehensive.Because monitor indivedual particular elements in Wind turbines with particular sensor to be only capable of obtaining：
The sensing data of indivedual particular elements under the present circumstances is abnormal in Wind turbines, and not can determine that whether particular elements are good for
Health, less can determine that whether Wind turbines complete machine is healthy.In addition, because being monitored only for indivedual particular elements, can not
The monitoring evaluation result of Wind turbines entirety is obtained, therefore, existing evaluation result is not comprehensive.Inaccurately, incomplete evaluation
As a result the maintenance work to Wind turbines has little significance, and therefore, existing monitoring and evaluation method can not improve the peace of Wind turbines
Full property and reliability, can not reduce maintenance time and maintenance cost.
How the health status progress to Wind turbines is analyzed in high precision, comprehensively, so as to improve the peace of Wind turbines
Full property and reliability, reduce maintenance time and maintenance cost, become technical problem urgently to be resolved hurrily.
The content of the invention
In order to solve the problems, such as that the existing monitoring evaluation to Wind turbines is not comprehensive, inaccurate, wind turbine can not be improved
The safety and reliability of group, the problem of can not reducing maintenance time and maintenance cost, an embodiment of the present invention provides one kind point
Analyse the method, apparatus and storage medium of the health status of Wind turbines.
A kind of first aspect, there is provided method for the health status for analyzing Wind turbines.This method comprises the following steps：
Obtain one or more fault warning information of Wind turbines；
The weight of assessment of fault index and assessment of fault index is chosen for each fault warning information of acquisition；
Based on assessment of fault index and weight, the fault degree information of each fault warning information is obtained；
According to the fault degree information of each fault warning information, the health status information of Wind turbines is determined.
A kind of second aspect, there is provided device for the health status for analyzing Wind turbines.The device includes：
Information acquisition unit, for obtaining one or more fault warning information of Wind turbines；
Selecting index unit, for choosing assessment of fault index and assessment of fault for each fault warning information of acquisition
The weight of index；
Degree computing unit, for based on assessment of fault index and weight, obtaining the failure of each fault warning information
Degree information；
Status determining unit, for the fault degree information according to each fault warning information, determines the strong of Wind turbines
Health status information.
A kind of third aspect, there is provided device for the health status for analyzing Wind turbines.The device includes：
Memory, for storing program；
Processor, for performing the program of the memory storage, it is above-mentioned each that described program make it that the processor performs
Method described in aspect.
A kind of fourth aspect, there is provided computer-readable recording medium.Finger is stored with the computer-readable recording medium
Order, when run on a computer so that computer performs the method described in above-mentioned each side.
A kind of 5th aspect, there is provided computer program product for including instruction.When the product is run on computers,
So that computer performs the method described in above-mentioned each side.
A kind of 6th aspect, there is provided computer program.When the computer program is run on computers so that calculate
Machine performs the method described in above-mentioned each side.
Thus, foregoing invention embodiment can be by obtaining one or more fault warning information of Wind turbines
The each fault warning information obtained chooses the weight of assessment of fault index and assessment of fault index；Based on assessment of fault index
And weight, obtain the fault degree information of each fault warning information；Believed according to the fault degree of each fault warning information
Breath, carries out the health status of Wind turbines high accuracy, comprehensively monitors, so as to improve the security of Wind turbines and reliable
Property, reduce maintenance time and maintenance cost.
Data are Wind turbines fault tolerant data used by the embodiment of the present invention, these data can comprehensively react wind-powered electricity generation
The health status of unit all parts, its evaluation result can preferably react Wind turbines holistic health state.It is of the invention real
Apply example from two aspects to be unfolded, on the one hand provide the evaluation of each fault severity level of unit；On the other hand, according to unit failure feelings
The evaluation result of condition, further makes evaluation to complete machine health.By the Wind turbines health assessment of multiple dimensions, can distinguish
Wind turbines health status is reacted in terms of local and entirety two.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, it will make below to required in the embodiment of the present invention
Attached drawing is briefly described, it should be apparent that, drawings described below is only some embodiments of the present invention, for
For those of ordinary skill in the art, without creative efforts, other can also be obtained according to these attached drawings
Attached drawing.
Fig. 1 is the flow diagram of the method for the health status of the analysis Wind turbines of one embodiment of the invention；
Fig. 2 is the flow diagram of the method for the health status of the analysis Wind turbines of another embodiment of the present invention；
Fig. 3 is the sub-process schematic diagram of one embodiment of the invention；
Fig. 4 is the structure diagram of the device of the health status of the analysis Wind turbines of one embodiment of the invention；
Fig. 5 is the block schematic illustration of the device of the health status of the analysis Wind turbines of one embodiment of the invention.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, the technical solution in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
Part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
All other embodiments obtained without creative efforts, belong to the scope of protection of the invention.
It should be noted that in the case where there is no conflict, the feature in embodiment and embodiment in the application can phase
Mutually combination.Describe the application in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 is the flow diagram of the method for the health status of the analysis Wind turbines of one embodiment of the invention.
As shown in Figure 1, this method comprises the following steps：S110, obtains one or more fault warning of Wind turbines
Information；S120, the weight of assessment of fault index and assessment of fault index is chosen for each fault warning information of acquisition；
S130, based on assessment of fault index and weight, obtains the fault degree information of each fault warning information；S140, according to each
The fault degree information of a fault warning information, determines the health status information of Wind turbines.
In step s 110, fault warning information includes：Fault tolerance information and/or fault message.
It is only a kind of incidence relation for describing affiliated partner it is appreciated that the terms "and/or", expression can be with
There are three kinds of relations, for example, A and/or B, can represent：Individualism A, while there are A and B, these three feelings of individualism B
Condition.
In the step s 120, assessment of fault index includes the one or more in following index：Time fault-tolerant index, frequency
Secondary fault-tolerant index, fault indices, alarm index.
In the present embodiment, weight can be an opposite concept, for a certain index.The weight of a certain index
Refer to relative importance of the index in the overall evaluation.
In certain embodiments, when choosing the weight of assessment of fault index and assessment of fault index, event can be combined
The characteristics of barrier itself and the type of failure, different selections is done to the evaluation index of fault severity level.
The evaluation index that four kinds of different types of faults are given such as table 1 below to table 4 is chosen and each index weights.
(1) first type：Time fault-tolerant evaluation index.As shown in Table 1 below the evaluation index can be：
Table 1
| Index name | Measurement unit | Weight | Remarks |
| The failure frequency | It is secondary | 35% | The past 10 days number of stoppages |
| Trouble duration | Minute | 15% | Past 10 days trouble duration |
| Alert the duration | Minute | 20% | The alarm of past 10 days continues to build up the time |
| Failure importance | —— | 30% | 10 grades are divided into, are represented with 1-10 |
(2) second of type：The fault-tolerant evaluation index of the frequency.As shown in Table 2 below the evaluation index can be：
Table 2
(3) the third type：The evaluation index of non-fault-tolerant (only failure).As shown in Table 3 below the evaluation index can be：
Table 3
| Index name | Measurement unit | Weight | Remarks |
| The failure frequency | It is secondary | 45% | The past 10 days number of stoppages |
| Trouble duration | Minute | 25% | Past 10 days trouble duration |
| Failure importance | —— | 30% | 10 grades are divided into, are represented with 1-10 |
(4) the 4th types：The evaluation index of non-fault-tolerant (only alerting).As shown in Table 4 below the evaluation index can be：
Table 4
Fig. 2 is the sub-process schematic diagram of Fig. 1.
As shown in Fig. 2, the flow is the sub-process of step S130 in Fig. 1.The sub-process includes following sub-step：S1301,
When the number of the corresponding assessment of fault index of single fault tolerance information is multiple, each assessment of fault index is multiplied by correspondence respectively
Weight, obtain corresponding multiple assessment of fault values；S1302, add up each assessment of fault value, obtains being directed to single fault tolerance information
Fault degree information；S1303, in preset time period, obtains one or more fault warning information pair of Wind turbines
The each fault degree information answered.
In the present embodiment, the integrated evaluating method of each failure is as follows：
F=w1y1+w2y2+…+wmym(expression formula 1)
In expression formula 1, F can be fault comprehensive evaluation of estimate；W can be index weights；Y can be the dimensionless of index
Value；M represents the dimension of fault comprehensive evaluation.
In the present embodiment, 5 grades corresponding to fault severity level can be：Seriously, it is heavier, medium, slight, just
Often.Each fault comprehensive evaluation of estimate and the correspondence of failure menace level are as shown in table 5：
Table 5
| The order of severity | Comprehensive evaluation value |
| Seriously | F>1 |
| It is heavier | 0.6<F<1 |
| It is medium | 0.3<F<0.6 |
| Slightly | 0<F<0.3 |
| Normally | 0 |
In step S140, the health status information of Wind turbines includes any one in following information：Normal operation
The outer malfunction of fault-tolerant operation state, error tolerance (needing to arrange for maintenance Wind turbines under this state) in state, error tolerance.
In the present embodiment, S140 steps can include：Fault degree information for each fault warning information is selected respectively
Take the weight of health assessment indicators and health assessment indicators；Based on each health assessment indicators and weight, wind turbine is determined
The health status information of group.
In the present embodiment, the selection of complete machine health assessment indicators and weight are as shown in table 6：
Table 6
In certain embodiments, the step of can also including handling the nondimensionalization of complete machine health assessment indicators value.By
Desired value can be the comprehensive evaluation value based on fault severity level used by complete machine health degree is evaluated, these values are immeasurable
Value after guiding principleization processing, therefore, the evaluation index of complete machine health degree without carrying out nondimensionalization calculating again.
In certain embodiments, complete machine Comprehensive health value calculating method can be as follows：
F=w1y1+w2y2+…+wmym(expression formula 2)
In expression formula 2, F can be complete machine health degree comprehensive evaluation value；W can be index weights, and y can be index
Dimensionless number；M represents the dimension of complete machine Comprehensive health.
In certain embodiments, 5 grades corresponding to complete machine health degree are：Seriously, it is heavier, medium, slight, just
Often, complete machine health degree comprehensive evaluation value and the correspondence of the order of severity are as shown in table 7 below：
Table 7
| The order of severity | Comprehensive evaluation value |
| Seriously | F>1 |
| It is heavier | 0.6<F<1 |
| It is medium | 0.3<F<0.6 |
| Slightly | 0<F<0.3 |
| Normally | 0 |
Thus, foregoing invention embodiment can be by obtaining one or more fault warning information of Wind turbines
The each fault warning information obtained chooses the weight of assessment of fault index and assessment of fault index；Based on assessment of fault index
And weight, obtain the fault degree information of each fault warning information；Believed according to the fault degree of each fault warning information
Breath, carries out the health status of Wind turbines high accuracy, comprehensively monitors, so as to improve the security of Wind turbines and reliable
Property, maintenance time and maintenance cost are reduced, becomes technical problem urgently to be resolved hurrily.
Fig. 3 is the flow diagram of the method for the health status of the analysis Wind turbines of another embodiment of the present invention.
As shown in figure 3, this method comprises the following steps：S310, obtains one or more fault warning of Wind turbines
Information；S320, the weight of assessment of fault index and assessment of fault index is chosen for each fault warning information of acquisition；
S330, when the number of assessment of fault index is more than 1, goes the dimension of assessment of fault index unless each so that after removing dimension
Logical operation can be directly carried out between assessment of fault index；S340, based on the assessment of fault index after removal dimension and is somebody's turn to do
The weight of assessment of fault index, obtains the fault degree information of each fault warning information；S350, believes according to each fault warning
The fault degree information of breath, determines the health status information of Wind turbines.
In the present embodiment, the step of dimension of assessment of fault index unless each is gone in S330 can include following sub-step
Suddenly：S3301, maximum and minimum are set for the original index value of assessment of fault index respectively；S3302, calculates original index
First difference of value and minimum；S3303, calculates the second difference of maximum and minimum；S3304, calculate the first difference with
The ratio of second difference；S3305, is determined as the target indicator for characterizing the assessment of fault index for eliminating dimension by ratio
Value.
In the present embodiment, in order to which each desired value can be added or compare operation, each desired value need to be carried out
Nondimensionalization processing.Dimensionless calculating is carried out to index using very poorization method, index dimensionless result of calculation y can be：
In expression formula 3, x is index actual value；xminFor the minimum value of index x；xmaxFor the maximum of index x.
The corresponding x of each indexminAnd xmaxSelection can be as shown in table 8：
Table 8
In the present embodiment, in order to make the value after indices non-dimension be mensurable value, the x in table 8maxSetting value
The order of severity of failure is reacted, the corresponding fault severity level of its value can represent serious fault degree for 5*.
In the present embodiment, the corresponding fault-tolerant frequency of different failures is different, and therefore, the frequency occurs for the alarm of different faults
It is not comparable.Can be with order to be comparable the alarm frequency between different faults, in index dimensionless calculating process
Limit frequency parameter is introduced as calculation basis.
In the present embodiment, the different failures corresponding fault-tolerant time is different, therefore, the alarm duration of different faults
It is not comparable.In order to be comparable alarm time between different faults, introduced in index dimensionless calculating process
Fault-tolerant time parameter is as calculation basis.
Foregoing invention embodiment can be based on Wind turbines fault tolerant data, the method for providing Wind turbines health assessment.It is logical
The method is crossed, it is as follows that the relevant evaluation output information of unit health status can be obtained：The row of each fault severity level of unit
Sequence；The evaluation result of each fault severity level；The relative order of separate unit Wind turbines health degree；Separate unit Wind turbines health degree
Evaluation result.
Thus, above-mentioned evaluation output information preferably can instruct maintenance personnel to be worked as follows：Specify Wind turbines
Existing Important Problems；The order of severity of clearly each problem, instructs maintenance personnel to formulate rational unit maintenance plan；Pass through
Rational maintenance plan is formulated, reduces fan parking time and the loss of corresponding generated energy.
Data are Wind turbines fault tolerant data used by the method for above-mentioned Wind turbines health assessment, these data can be with
The health status of comprehensive reaction Wind turbines all parts, its evaluation result can preferably react Wind turbines holistic health
State.
Wind turbines health assessment is unfolded from following two aspects：On the one hand commenting for each fault severity level of unit is provided
Valency；On the other hand, according to the evaluation result of unit fault condition, evaluation further is made to complete machine health.Pass through multiple dimensions
Wind turbines health assessment, Wind turbines health status can be reacted from local and overall two aspect respectively.Tight to failure
During weight degree evaluation, the characteristics of its evaluation index chooses combination failure itself, the evaluation index that different types of failure is chosen is not
Together, so that evaluation result is more accurate.
In certain embodiments, Wind turbines health assessment method can be realized mainly by following two aspects：
In a first aspect, each fault severity level of unit is evaluated.
Its implementation of first aspect can include S1-S3 as follows：
S1, the selection of assessment of fault index and weight；
S2, the nondimensionalization processing of assessment of fault desired value；
S3, fault comprehensive evaluation of estimate calculate.
Second aspect, according to the evaluation result of each fault severity level of unit, further makes evaluation to complete machine health.The
Its implementation of two aspects can include S4-S6 as follows：
S4, the selection of assessment of fault index and weight；
S5, the nondimensionalization processing of assessment of fault desired value；
S6, fault comprehensive evaluation of estimate calculate.
It should be noted that in the case where there is no conflict, those skilled in the art can according to actual needs will be above-mentioned
The order of operating procedure is adjusted flexibly, or above-mentioned steps are carried out the operation such as flexible combination.For simplicity, repeat no more
Various implementations.In addition, the content of each embodiment can mutual reference.
Fig. 4 is the structure diagram of the device of the health status of the analysis Wind turbines of one embodiment of the invention.
As shown in figure 4, the device 400 can include：Information acquisition unit 401, selecting index unit 402, degree calculate
Unit 403 and status determining unit 404.Wherein, information acquisition unit 401 can be used for obtain Wind turbines one or more
A fault warning information；Selecting index unit 402 can be used for referring to for each fault warning information selection assessment of fault of acquisition
It is marked with and the weight of assessment of fault index；Degree computing unit 403 can be used for being based on assessment of fault index and weight, obtain
The fault degree information of each fault warning information；Status determining unit 404 can be used for according to each fault warning information
Fault degree information, determines the health status information of Wind turbines.
Thus, foregoing invention embodiment can be by obtaining one or more fault warning information of Wind turbines
The each fault warning information obtained chooses the weight of assessment of fault index and assessment of fault index；Based on assessment of fault index
And weight, obtain the fault degree information of each fault warning information；Believed according to the fault degree of each fault warning information
Breath, carries out the health status of Wind turbines high accuracy, comprehensively monitors, so as to improve the security of Wind turbines and reliable
Property, maintenance time and maintenance cost are reduced, becomes technical problem urgently to be resolved hurrily.
In certain embodiments, on the basis of Fig. 4 embodiments, can also increase：Remove dimension unit.This removes dimension unit
It can be used for the dimension for when the number of assessment of fault index is more than 1, going assessment of fault index unless each so that after removing dimension
Assessment of fault index between can directly carry out logical operation.
In certain embodiments, dimension unit is gone to can be also used for：Original index value for assessment of fault index is set respectively
Put maximum and minimum；Calculate the first difference of original index value and minimum；Calculate maximum and minimum second is poor
Value；Calculate the ratio of the first difference and the second difference；Ratio is determined as eliminating for characterizing to the assessment of fault index of dimension
Target indicator value.
In certain embodiments, degree computing unit 403 can be also used for：When the corresponding assessment of fault of single fault tolerance information
When the number of index is multiple, each assessment of fault index is multiplied by corresponding weight respectively, corresponding multiple failures is obtained and comments
Value；Add up each assessment of fault value, obtains the fault degree information for single fault tolerance information；In preset time period, obtain
Take the corresponding each fault degree information of one or more fault warning information of Wind turbines.
In certain embodiments, status determining unit 404 can be also used for：For the fault degree of each fault warning information
Information chooses the weight of health assessment indicators and health assessment indicators respectively；Based on each health assessment indicators and weight,
Determine the health status information of Wind turbines.
It should be noted that the device of the various embodiments described above can be as the method for each embodiment of the various embodiments described above
In executive agent, it is possible to achieve the corresponding flow in each method, realizes identical technique effect, for sake of simplicity, in this respect
Content repeats no more.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or its any combination real
It is existing.For example, encryption/decryption element is integrated in a unit, two single units can also be divided into.In another example will request
Receiving unit and request transmitting unit are substituted with a coffret.When implemented in software, can whole or in part with
The form of computer program product is realized.The computer program product includes one or more computer instructions, when it is being counted
When being run on calculation machine so that computer performs the method described in above-mentioned each embodiment.Load and perform on computers institute
When stating computer program instructions, produce whole or in part according to the flow or function described in the embodiment of the present invention.The calculating
Machine can be all-purpose computer, special purpose computer, computer network or other programmable devices.The computer instruction can
To store in a computer-readable storage medium, or computer-readable deposit from a computer-readable recording medium to another
Storage media transmits, for example, the computer instruction can pass through from a web-site, computer, server or data center
Wired (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)) or wireless (such as infrared, wireless, microwave etc.) mode are to another
A web-site, computer, server or data center are transmitted.The computer-readable recording medium can be computer
The data such as any usable medium that can be accessed or the server integrated comprising one or more usable mediums, data center
Storage device.The usable medium can be magnetic medium, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or
Person's semiconductor medium (such as solid state hard disc Solid State Disk (SSD)) etc..
Fig. 5 is the block schematic illustration of the device of the health status of the analysis Wind turbines of one embodiment of the invention.
As shown in figure 5, the frame can include central processing unit (CPU) 501, it can be according to being stored in read-only storage
Program in device (ROM) 502 is performed from the program that storage part 508 is loaded into random access storage device (RAM) 503
The various operations that Fig. 1, Fig. 2 and Fig. 3 embodiment are done.In RAM503, the various journeys needed for system architecture operation are also stored with
Sequence and data.CPU 501, ROM 502 and RAM 503 are connected with each other by bus 504.Input/output (I/O) interface 505
It is also connected to bus 504.
I/O interfaces 505 are connected to lower component：Importation 506 including keyboard, mouse etc.；Penetrated including such as cathode
The output par, c 507 of spool (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.；Storage part 508 including hard disk etc.；
And the communications portion 509 of the network interface card including LAN card, modem etc..Communications portion 509 via such as because
The network of spy's net performs communication process.Driver 510 is also according to needing to be connected to I/O interfaces 505.Detachable media 511, such as
Disk, CD, magneto-optic disk, semiconductor memory etc., are installed on driver 510, in order to read from it as needed
Computer program be mounted into as needed storage part 508.
Especially, according to an embodiment of the invention, it may be implemented as computer above with reference to the process of flow chart description
Software program.For example, the embodiment of the present invention includes a kind of computer program product, it includes being tangibly embodied in machine readable
Computer program on medium, the computer program include the program code for being used for the method shown in execution flow chart.At this
In the embodiment of sample, which can be downloaded and installed by communications portion 509 from network, and/or from removable
Medium 511 is unloaded to be mounted.
Device embodiment described above is only schematical, wherein the unit illustrated as separating component can
To be or may not be physically separate, physics list is may or may not be as the component that unit is shown
Member, you can with positioned at a place, or can also be distributed in multiple network unit.It can be selected according to the actual needs
In some or all of module realize the purpose of this embodiment scheme.Those of ordinary skill in the art are not paying creativeness
Work in the case of, you can to understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
Realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on such understanding, on
The part that technical solution substantially in other words contributes to the prior art is stated to embody in the form of software product, should
Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including some fingers
Order is used so that a computer equipment (can be personal computer, server, or network equipment etc.) performs each implementation
Method described in some parts of example or embodiment.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
The present invention is described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that：It still may be used
To modify to the technical solution described in foregoing embodiments, or equivalent substitution is carried out to which part technical characteristic；
And these modification or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical solution spirit and
Scope.
Claims (10)
- A kind of 1. method for the health status for analyzing Wind turbines, it is characterised in that comprise the following steps：Obtain one or more fault warning information of the Wind turbines；The weight of assessment of fault index and the assessment of fault index is chosen for each fault warning information of acquisition；Based on the assessment of fault index and the weight, the fault degree information of each fault warning information is obtained；According to the fault degree information of each fault warning information, the health status information of the Wind turbines is determined.
- 2. according to the method described in claim 1, it is characterized in that, further include：When the number of the assessment of fault index is more than 1, the dimension of the assessment of fault index unless each is gone so that removal amount Logical operation can be directly carried out between assessment of fault index after guiding principle.
- 3. according to the method described in claim 2, it is characterized in that, the dimension for going the assessment of fault index unless each, Including：Original index value for the assessment of fault index sets maximum and minimum respectively；Calculate the first difference of the original index value and the minimum；Calculate the second difference of the maximum and the minimum；Calculate the ratio of first difference and second difference；The ratio is determined as the target indicator value for characterizing the assessment of fault index for eliminating dimension.
- 4. according to the method described in claim 1, it is characterized in that, described be based on the assessment of fault index and the power Weight, obtains the fault degree information of each fault warning information, including：When the number of the corresponding assessment of fault index of single fault tolerance information is multiple, respectively by each assessment of fault Index is multiplied by the corresponding weight, obtains corresponding multiple assessment of fault values；Add up each assessment of fault value, obtains the fault degree information for the single fault tolerance information；In preset time period, the corresponding each institute of one or more described fault warning information of the Wind turbines is obtained State fault degree information.
- 5. the according to the method described in claim 1, it is characterized in that, failure journey according to each fault warning information Information is spent, determines the health status information of the Wind turbines, including：Fault degree information for each fault warning information chooses health assessment indicators and the health assessment respectively The weight of index；Based on each health assessment indicators and the weight, the health status information of the Wind turbines is determined.
- 6. according to the method any one of claim 1-5, it is characterised in that the fault warning information includes：Fault tolerance information and/or fault message.
- 7. according to the method any one of claim 1-5, it is characterised in that the assessment of fault index includes following finger One or more in mark：Time fault-tolerant index, the fault-tolerant index of the frequency, fault indices, alarm index.
- 8. according to the method described in any one in claim 1-7, it is characterised in that the health status letter of the Wind turbines Breath includes any one in following information：The outer malfunction of fault-tolerant operation state, error tolerance in normal operating condition, error tolerance.
- A kind of 9. device for the health status for analyzing Wind turbines, it is characterised in that including：Information acquisition unit, for obtaining one or more fault warning information of the Wind turbines；Selecting index unit, for choosing assessment of fault index and the failure for each fault warning information of acquisition The weight of evaluation index；Degree computing unit, for based on the assessment of fault index and the weight, obtaining each fault warning letter The fault degree information of breath；Status determining unit, for the fault degree information according to each fault warning information, determines the Wind turbines Health status information.
- A kind of 10. device for the health status for analyzing Wind turbines, it is characterised in that including：Memory, for storing program；Processor, for performing the program of the memory storage, described program causes the processor to perform such as claim Method in 1-8 described in any one.
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