CN106338307B - Wind turbines condition monitoring system and method with yaw status monitoring function - Google Patents
Wind turbines condition monitoring system and method with yaw status monitoring function Download PDFInfo
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- CN106338307B CN106338307B CN201610701991.5A CN201610701991A CN106338307B CN 106338307 B CN106338307 B CN 106338307B CN 201610701991 A CN201610701991 A CN 201610701991A CN 106338307 B CN106338307 B CN 106338307B
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
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Abstract
The present invention discloses a kind of wind power generating set condition monitoring system and method with yaw status monitoring function, the program is to increase the function of monitoring yaw direction in wind power generating set condition monitoring system, to realize the real-time monitoring to Wind turbines yaw state.When carrying out fault diagnosis to Wind turbines according to vibration data, the set yaw state synchronous with vibration data is often needed to refer to, judges whether failure is related to set yaw with this.The present invention can provide effective foundation by the real-time monitoring to Wind turbines yaw state for the fault diagnosis of Wind turbines, to improve the accuracy rate of diagnosis.
Description
Technical field
The present invention relates to wind generating technologies, more particularly to a kind of wind-driven generator with yaw status monitoring function
Group condition monitoring system.
Background technique
Yaw system is the chief component of wind power generating set, and it is dynamic that cabin mainly generates yaw in following three kinds of operating conditions
Make, first, automatically to wind when normal operation；Second, automatic cable-releasing when around cable；Third, when stall protection, deviate wind direction.Cabin exists
In During yaw, yaw torsional oscillation unstability, yaw brake torque is uneven, yaw brake torque it is excessive or it is too small can caused by machine
Group abnormal vibration.
It in the prior art, can be real-time as shown in Figure 1, wind power generating set condition monitoring system (hereinafter abbreviation CMS)
Vibration data, the rotary speed data of unit are recorded, but is unable to the yaw status data of synchronous recording cabin.When yaw system has event
When barrier, CMS record vibration data in include the vibration as caused by yaw failure, if diagnose the vibration whether with yaw phase
It closes, needs to refer to the yaw state synchronous with vibration data.Therefore vibration data, revolving speed can be acquired simultaneously by needing to provide one kind
The CMS of data and cabin yaw status data.
Therefore it needs to provide a kind of CMS that can acquire vibration data, rotary speed data and cabin yaw data simultaneously.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of wind power generating set shapes with yaw status monitoring function
State monitors system, to solve during fault diagnosis of wind turbines, can not directly judge that unit vibration is abnormal whether by yawing
The problem of failure causes.
In order to solve the above technical problems, the present invention adopts the following technical solutions:
A kind of wind power generating set condition monitoring system with yaw status monitoring function, the system include:
Wind turbines signal acquisition unit, for acquiring the vibration signal, tach signal and side of wind power generating set in real time
To signal；
Data processing unit pre-processes institute's vibration signal, tach signal and direction signal, obtains wind-driven generator
Vibration data, rotary speed data and the bearing data of group；
Data analysis unit analyzes Wind turbines yaw data, and is based on the yaw data and vibration data,
Judge whether the abnormal frequency ingredient of wind generating set vibration is related to set yaw.
Preferably, Wind turbines signal acquisition unit includes: the vibrating sensor being fixed on blower unit, revolution speed sensing
Device and direction sensor.
Preferably, the data processing unit is using multiple amplifilters and analog-digital converter to the wind-force collected
Vibration signal, tach signal and the direction signal of generating set are handled, and the vibration number of corresponding wind power generating set is obtained
According to, rotary speed data and bearing data.
Preferably, the data analysis unit includes:
Yaw data analysis module is based on the bearing data and corresponding time data, to the yaw side of different periods
To and rate situation of change；
Vibrating data analysis module is based on the yaw data and vibration data, judges the abnormal frequency of wind generating set vibration
Whether rate ingredient is related to set yaw.
Preferably, yaw data analytical unit includes:
Data acquisition module obtains the yaw angle data of Wind turbines in the operation data of wind power generating set；
Data modeling module is constructed using the time as abscissa, and angle is the two-dimension analysis figure of ordinate；
Data fitting module is fitted the data point in the two-dimension analysis figure, obtains yaw angle and becomes at any time
The yaw state analysis figure of change；
State analyzing module analyzes the curve in the yaw state analysis figure, obtains the yaw of different periods
The situation of change of direction and rate.
Preferably, the vibrating data analysis module includes:
Vibrating data analysis module obtains the vibration data of Wind turbines in the operation data of wind power generating set, and really
Abnormal frequency ingredient of the fixed number in；
Data transfer module, transfer the yaw status data synchronous with the vibration data containing abnormal frequency ingredient；
First judgment module according to yaw status data judges whether that yaw maneuver occurs, if showing without yaw maneuver
Abnormal frequency ingredient is unrelated with yaw, if yaw maneuver occurs, shows that abnormal frequency ingredient may be related to yaw, and carry out
Secondary judgement；
Secondary judgment module occurs judge whether abnormal frequency ingredient is related to yaw in the case where yaw maneuver, to inclined
The vibration data of period is not yawed in boat status data to be analyzed, if it exists abnormal frequency, then judge fan vibration and yaw
Unrelated, abnormal frequency, then judge that fan vibration is related with yaw if it does not exist.
A kind of wind power generating set state analysis method based on yaw monitoring, the step of this method include:
S1, vibration signal, tach signal and the direction signal for obtaining Wind turbines, and pre-processed, it obtains corresponding
Vibration data, rotary speed data and the bearing data of wind power generating set；
S2, the bearing data and corresponding time data, the variation of yaw direction and rate to different periods are based on
Situation；
S3, the vibration data based on the yaw data and Wind turbines, judge vibration frequency abnormal in Wind turbines
Whether ingredient is related to yaw.
Preferably, the step S2 includes:
S21, the yaw angle data for obtaining Wind turbines in the operation data of wind power generating set；
Using the time as abscissa, angle is the two-dimension analysis figure of ordinate for S22, building；
S23, the data point in the two-dimension analysis figure is fitted, obtains the yaw shape that yaw angle changes over time
State analysis chart；
S24, the curve in the yaw state analysis figure is analyzed, obtains the yaw direction and rate of different periods
Situation of change.
Preferably, the step S3 includes:
S31, the vibration data for obtaining Wind turbines in the operation data of wind power generating set, and analyze the exception in data
Frequency content；
S32, the yaw status data synchronous with the vibration data containing abnormal frequency ingredient is transferred；
If S33, yaw status data show no yaw maneuver, show that abnormal frequency ingredient is unrelated with yaw, if yaw
Status data shows that there are yaw maneuvers, if then showing, abnormal frequency ingredient may yaw status data display nothing related to yaw
Yaw maneuver then shows that abnormal frequency ingredient is unrelated with yaw, if yaw status data is shown there are yaw maneuver, shows different
Normal frequency content may be related to yaw, continues to execute step S34；
S34, found according to yaw status data period of yaw maneuver do not occur, transfer do not occur yaw maneuver when
Between the corresponding vibration data of section analyzed, if there is abnormal frequency ingredient then show abnormal frequency ingredient and yaw maneuver without
It closes, shows that abnormal frequency ingredient is related to yaw maneuver if there is no abnormal frequency ingredient.
Beneficial effects of the present invention are as follows:
Technical solution of the present invention can be the event of Wind turbines by the real time monitoring to Wind turbines yaw state
Barrier diagnosis provides effective foundation, to improve the accuracy rate of diagnosis, and further increases to the accurate of wind power generating set failure
Control, convenient for the monitoring and maintenance to wind power generating set.
Detailed description of the invention
Specific embodiments of the present invention will be described in further detail with reference to the accompanying drawing；
Fig. 1 shows the schematic diagram of wind power generating set condition monitoring system in the prior art；
Fig. 2 shows the schematic diagrames of wind power generating set condition monitoring system described in this programme；
Fig. 3 shows the schematic diagram that state analysis figure is yawed described in this programme；
Fig. 4 shows the fault diagnosis schematic diagram that vibration data described in this programme is combined with yaw data.
Specific embodiment
In order to illustrate more clearly of the present invention, the present invention is done further below with reference to preferred embodiments and drawings
It is bright.Similar component is indicated in attached drawing with identical appended drawing reference.It will be appreciated by those skilled in the art that institute is specific below
The content of description is illustrative and be not restrictive, and should not be limited the scope of the invention with this.
As shown in Fig. 2, the invention discloses a kind of wind power generating set status monitorings with yaw status monitoring function
System, the system include: Wind turbines signal acquisition unit, data processing unit and data analysis unit.
Wind turbines signal acquisition unit for acquiring vibration signal, tach signal and the direction of wind power generating set in real time
Signal.According to the actual arrangement situation and required data volume of wind power generating set, setting vibration is passed in wind power generating set
Sensor, speed probe and direction sensor, so as to the vibration data, right in real time to the key equipment of wind power generating set
The rotary speed data of wind power generating set transmission system and the bearing data of cabin are monitored.Since what sensor collected is
Analog signal utilizes the data processing list of multiple Analog to Digital Converter composition for the ease of the processing of subsequent computer in this programme
Member amplifies the pretreatment such as filtering and analog-to-digital conversion to institute's vibration signal, tach signal and direction signal, obtains wind-power electricity generation
The operation data information of unit, such as vibration data, rotary speed data and the bearing data of wind power generating set.
The data analysis unit includes: yaw data analysis module, is based on the bearing data and corresponding time number
According to the situation of change of yaw direction and rate to different periods；Vibrating data analysis module is based on the yaw data and vibration
Dynamic data, judge whether the abnormal frequency ingredient of wind generating set vibration is related to set yaw.
Yaw data analysis module is used to extract the angle and time data in the operation data of wind power generating set, goes forward side by side
Row analysis processing, obtain using when the yaw state analysis figure that is changed over time as the yaw angle of reference axis of m- angle.It is described inclined
Data analysis unit of navigating includes: data acquisition module, data modeling module, data fitting module and state analyzing module.Such as Fig. 3
Shown, which obtains the yaw angle degree of Wind turbines in the operation data of wind power generating set by data acquisition module
According to data modeling module is constructed by the data using the time as abscissa, and angle is the two-dimension analysis figure of ordinate, passes through data
Fitting module is fitted the data point in two-dimension analysis figure, obtain using when m- angle as the yaw state analysis of reference axis
Figure.The curve in the yaw state analysis figure is analyzed by state analyzing module, obtains the yaw side of different periods
To and rate situation of change.
Vibration data of the vibrating data analysis module based on yaw the state analysis figure and the Wind turbines, judges wind
Whether the abnormal frequency ingredient in motor group vibration data is related to yaw state.The vibrating data analysis unit includes: vibration
Dynamic data analysis module, data transfer module, first judgment module and secondary judgment module；As shown in figure 4, the vibration data point
Analyse module obtain wind power generating set operation data in Wind turbines vibration data, and the abnormal frequency in explicit data at
Point, using data transfer module calls with containing the synchronous yaw status data of abnormal frequency ingredient vibration data.By just sentencing
Disconnected module, and according to yaw status data judge whether that yaw maneuver occurs, if without yaw maneuver, show abnormal frequency at
It is point unrelated with yaw, if generation yaw maneuver, shows that abnormal frequency ingredient may be related to yaw, need to carry out secondary to sentence
It is disconnected.Judge whether abnormal frequency ingredient is related to yaw in the case where yaw maneuver occurs by secondary judgment module, according to inclined
Boat status data finds the period that yaw maneuver does not occur, then to the vibration data for not yawing the period in yaw status data
It is analyzed, if it exists abnormal frequency, then judges that fan vibration is unrelated with yaw, abnormal frequency, then judge blower if it does not exist
It vibrates related with yaw.
The wind power generating set method for diagnosing faults combined based on yaw status data with vibration data described in this programme,
Firstly, the vibration data of analysis unit, if it find that abnormal frequency ingredient, then transfer the yaw shape synchronous with this section of vibration data
State data show that abnormal frequency ingredient is unrelated with yaw if yaw status data shows no yaw maneuver, if yaw status number
According to display, there are yaw maneuvers, then show that abnormal frequency ingredient may be related to yaw, next seek according to yaw status data
The period that yaw maneuver does not occur is looked for, is then transferred and the period corresponding vibration data of yaw maneuver does not occur is divided
Analysis, then show that abnormal frequency ingredient is unrelated with yaw maneuver if there is abnormal frequency ingredient, if there is no abnormal frequency at
Divide and shows that abnormal frequency ingredient is related to yaw maneuver.
Below by embodiment, the present invention will be further described:
The present embodiment provides the wind power generating set condition monitoring systems with yaw status monitoring function.This system passes through
Direction monitoring function, the yaw state of real-time monitoring unit are introduced in wind power generating set monitoring system；By combining wind
The yaw state of power generator group judges whether the abnormal vibrations frequency content of unit is related with yaw, accurately so as to mention
Height is to the accurate control of wind power generating set failure, convenient for the monitoring and maintenance to wind power generating set.
As shown in Fig. 2, this implementation wind power generating set state analysis scheme based on yaw monitoring specifically includes that wind
Power generator group state detection sensor, the type of sensor include vibrating sensor, speed probe and direction sensor, vibration
The vibration data of dynamic sensor test unit key equipment, speed probe test the rotary speed data of unit transmission system, direction
The bearing data of sensor test cabin.Direction sensor uses compass sensor in this example.Since sensor collects
Be analog signal, for the ease of the processing of subsequent computer, in this programme using multiple Analog to Digital Converter composition data at
Reason unit handles institute's vibration signal, tach signal and direction signal, obtains the operation data information of wind power generating set.
This programme stores wind generating set vibration data, rotary speed data and cabin yaw data using computer,
Playback and calculating.Computer can be the control centre of CMS in this programme.
Computer is to store according to time series to the storage mode of yaw data, therefore, as shown in figure 3, yaw
Data readback mode is m- angle two-dimensional coordinate figure when using, and wherein abscissa is the time, and ordinate is angle.To yaw number
According to calculating, the when m- angle coordinate value in data readback coordinate system is carried out curve fitting first, then solves the slope of curve
Value can reflect the speed of yaw by solving slope of a curve, setting slope value be positive show yaw for clockwise (north,
East, south, west), otherwise for counterclockwise, the absolute value of slope shows that greatly the rate of yaw is big, otherwise the rate of yaw is small, tiltedly
Rate value is zero, shows that cabin does not carry out yaw maneuver.
When using the vibration data of CMS analysis Wind turbines with yaw status monitoring function, if it find that abnormal frequency
Rate ingredient can transfer the cabin yaw status data synchronous with vibration data, pass through check analysis vibration data and yaw state
Data, it can be determined that whether abnormal frequency ingredient is caused by yaw, vibration data and yaw status data check analysis process, such as
Shown in Fig. 4, firstly, the vibration data of analysis unit, if it find that abnormal frequency ingredient, then transfer synchronous with this section of vibration data
Yaw status data, if yaw status data show no yaw maneuver, show that abnormal frequency ingredient is unrelated with yaw, if partially
Boat status data shows that there are yaw maneuvers, then shows that abnormal frequency ingredient may be related to yaw, next according to yaw shape
State data find the period that yaw maneuver does not occur, then transfer the period corresponding vibration data that yaw maneuver does not occur
It is analyzed, then shows that abnormal frequency ingredient is unrelated with yaw maneuver if there is abnormal frequency ingredient, if there is no exception
Frequency content shows that abnormal frequency ingredient is related to yaw maneuver.
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention may be used also on the basis of the above description for those of ordinary skill in the art
To make other variations or changes in different ways, all embodiments can not be exhaustive here, it is all to belong to this hair
The obvious changes or variations that bright technical solution is extended out are still in the scope of protection of the present invention.
Claims (7)
1. a kind of wind power generating set condition monitoring system with yaw status monitoring function, which is characterized in that the system packet
It includes:
Wind power generating set signal acquisition unit, for acquiring the vibration signal, tach signal and side of wind power generating set in real time
To signal；
Data processing unit pre-processes the vibration signal, tach signal and direction signal, obtains wind power generating set
Vibration data, rotary speed data and bearing data；
Data analysis unit analyzes wind generating set yaw status data, and based on the yaw status data with
Vibration data judges whether the abnormal frequency ingredient of vibration of wind generating set is related to set yaw,
Wherein the data analysis unit includes vibrating data analysis module, is based on the yaw status data and vibration data,
Judge whether the abnormal frequency ingredient of vibration of wind generating set is related to set yaw, the vibrating data analysis module packet
Include: vibrating data analysis submodule obtains the vibration data of wind power generating set in the operation data of wind power generating set, and really
Abnormal frequency ingredient of the fixed number in；Data transfer module, transfer synchronous with the vibration data containing abnormal frequency ingredient inclined
Navigate status data；First judgment module judges whether generation yaw maneuver according to yaw status data, if without yaw maneuver,
Show that abnormal frequency ingredient is unrelated with yaw, if yaw maneuver occurs, shows that abnormal frequency ingredient may be related to yaw, and
Carry out secondary judgement；Secondary judgment module occurs judge whether abnormal frequency ingredient is related to yaw in the case where yaw maneuver,
To not yawing the vibration data of period in yaw status data and analyzing, abnormal frequency if it exists, then judge fan vibration with
Yaw unrelated, abnormal frequency, then judge that fan vibration is related with yaw if it does not exist.
2. wind power generating set condition monitoring system according to claim 1, which is characterized in that wind power generating set signal
Acquisition unit includes: the vibrating sensor, speed probe and direction sensor being fixed on blower unit.
3. wind power generating set condition monitoring system according to claim 1, which is characterized in that the data processing unit
Using multiple amplifilters and analog-digital converter to the vibration signal, tach signal and side of the wind power generating set collected
It is handled to signal, obtains the vibration data, rotary speed data and bearing data of corresponding wind power generating set.
4. wind power generating set condition monitoring system according to claim 1, which is characterized in that the data analysis unit
Further comprise:
Yaw data analysis module, is based on the bearing data and corresponding time data, yaw direction to different periods and
The situation of change of rate is analyzed.
5. wind power generating set condition monitoring system according to claim 4, which is characterized in that yaw data analysis module
Include:
Data acquisition module obtains the yaw angle data of wind power generating set in the operation data of wind power generating set；
Data modeling module is constructed using the time as abscissa, and angle is the two-dimension analysis figure of ordinate；
Data fitting module is fitted the data point in the two-dimension analysis figure, obtains what yaw angle changed over time
Yaw state analysis figure；
State analyzing module analyzes the curve in the yaw state analysis figure, obtains the yaw direction of different periods
And the situation of change of rate.
6. a kind of wind power generating set state analysis method based on yaw monitoring, which is characterized in that the step of this method includes:
S1, vibration signal, tach signal and the direction signal for obtaining wind power generating set, and pre-processed, it obtains corresponding
Vibration data, rotary speed data and the bearing data of wind power generating set；
S2, the bearing data and corresponding time data, the situation of change of yaw direction and rate to different periods are based on
It is analyzed；
S3, the vibration data based on yaw status data and wind power generating set, judge vibration abnormal in wind power generating set
Whether frequency content is related to yaw,
Wherein the step S3 includes:
S31, the vibration data for obtaining wind power generating set in the operation data of wind power generating set, and analyze the exception in data
Frequency content；
S32, the yaw status data synchronous with the vibration data containing abnormal frequency ingredient is transferred；
If S33, yaw status data show no yaw maneuver, show that abnormal frequency ingredient is unrelated with yaw, if yaw state
Data show that there are yaw maneuvers, then show that abnormal frequency ingredient may be related to yaw, continue to execute step S34；
S34, the period that yaw maneuver does not occur is found according to yaw status data, transfer the period that yaw maneuver does not occur
Corresponding vibration data is analyzed, and then shows that abnormal frequency ingredient is unrelated with yaw maneuver if there is abnormal frequency ingredient,
Show that abnormal frequency ingredient is related to yaw maneuver if there is no abnormal frequency ingredient.
7. wind power generating set state analysis method according to claim 6, which is characterized in that the step S2 includes:
S21, the yaw angle data for obtaining wind power generating set in the operation data of wind power generating set；
Using the time as abscissa, angle is the two-dimension analysis figure of ordinate for S22, building；
S23, the data point in the two-dimension analysis figure is fitted, obtains the yaw state point that yaw angle changes over time
Analysis figure；
S24, the curve in the yaw state analysis figure is analyzed, obtains the yaw direction of different periods and the change of rate
Change situation.
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| CN108331718B (en) * | 2018-04-10 | 2024-03-12 | 国电联合动力技术有限公司 | Online monitoring mechanism for yaw system of wind turbine generator and fault diagnosis system and method |
| CN110685869B (en) * | 2019-11-19 | 2021-03-23 | 中国船舶重工集团海装风电股份有限公司 | Fault diagnosis method, device and equipment for wind turbine generator |
| CN112267979B (en) * | 2020-10-26 | 2021-07-23 | 积成电子股份有限公司 | Early warning method and system for judging failure of yaw bearing |
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| WO2012125842A2 (en) * | 2011-03-15 | 2012-09-20 | Purdue Research Foundation | Load shape control of wind turbines |
| CN104075795B (en) * | 2014-06-18 | 2017-11-21 | 北京金风科创风电设备有限公司 | Method and system for monitoring vibration state of impeller of wind generating set |
| CN104111154B (en) * | 2014-06-23 | 2016-08-24 | 北京金风科创风电设备有限公司 | Vibration trend analysis method and vibration trend analysis system of wind generating set |
| CN105508146B (en) * | 2015-12-22 | 2018-07-31 | 北京金风科创风电设备有限公司 | Yaw testing system of wind generating set |
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