CN209469542U - A kind of wind-driven generator pitching bearing and connection bolt condition monitoring system - Google Patents
A kind of wind-driven generator pitching bearing and connection bolt condition monitoring system Download PDFInfo
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- CN209469542U CN209469542U CN201920099872.6U CN201920099872U CN209469542U CN 209469542 U CN209469542 U CN 209469542U CN 201920099872 U CN201920099872 U CN 201920099872U CN 209469542 U CN209469542 U CN 209469542U
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Abstract
The utility model discloses a kind of wind-driven generator pitching bearing and connection bolt condition monitoring system, the system comprises: pitch variable bearings seat ring (8)；The seat ring sensor (10) being arranged on pitch variable bearings seat ring (8)；Pitch variable bearings blowout patche (2)；The first axle coil sensor (11) and the second blowout patche sensor (12) that horizontal symmetrical is arranged on pitch variable bearings blowout patche (2)；Data collection and analysis unit (13) and wind field Central Control Room (16)；Wherein, seat ring sensor (10) is used to perceive the vibration of pitch variable bearings seat ring (8)；First axle coil sensor (11) and the second blowout patche sensor (12) are used to perceive the vibration of pitch variable bearings blowout patche (2)；Data collection and analysis unit (13), it is arranged in hub interior, for synchronous acquisition first axle coil sensor signal, the second blowout patche sensor signal and seat ring sensor signal, first axle coil sensor signal, the second blowout patche sensor signal and seat ring sensor signal are handled and analyzed, it determines whether pitch variable bearings and connection bolt break down according to handling and analyzing result, the malfunction monitoring result of pitch variable bearings and connection bolt is transmitted to wind field Central Control Room.
Description
Technical field
The utility model relates to technical field of wind power generator more particularly to a kind of wind-driven generator pitching bearing and connections
Bolt state monitoring method and system.
Background technique
Megawatt-level wind unit all uses speed-changing oar-changing control mode, the essential Machinery Ministry of variable blade control system substantially
Part is exactly pitch variable bearings.By pitch variable bearings, variable blade control system can use electric variable pitch or hydraulic vane change to blade angle
It is controlled.Blade is bolted on the blowout patche of pitch variable bearings, and pitch variable bearings are further through being bolted to wheelboss flange
On, the stress of blade all will be transferred to wheel hub by bolt and pitch variable bearings.
It is influenced with the factors such as Wind turbines are constantly run and new investment turbines vane constantly lengthens have been installed, in recent years
There are the failures such as root of blade bolt fracture and pitch variable bearings cracking in large quantities of wind power plants.These failures gently then lead to Wind turbines
Long-time shutdown maintenance is heavy then the serious accidents such as stuck, leaf abscission of pitch variable bearings directly occur.Due to lacking effective monitoring
Method and means can only carry out regular visual inspection by live operation maintenance personnel to the inspection of pitch variable bearings and connection bolt at present
Or Bolt Torque inspection, earlier damage cannot be found in time, and bolt has been broken when often checking, and is resulted in adjacent
Connection bolt be also broken.The risk of unit operation is not only increased in this way but also also increases the renewal cost in later period.
Therefore, it is necessary to a kind of wind-driven generator pitching bearing and connection bolt state monitoring method and systems, realize to change
The operating status that bolt was held and connected to paddle shaft carries out automatically real-time monitoring, finds root of blade bolt fracture and pitch axis in time
Hold the failures such as cracking.
Utility model content
The embodiments of the present invention provide a kind of wind-driven generator pitching bearing and connection bolt state monitoring method and
System can be realized to pitch variable bearings and connect the operating status progress real-time monitoring of bolt, finds root of blade bolt in time
The failures such as fracture and pitch variable bearings cracking, reduce the risk and maintenance cost of running of wind generating set.
According to the one aspect of the embodiment of the present application, a kind of wind-driven generator pitching bearing and connection bolt state prison are provided
Examining system, comprising: pitch variable bearings seat ring (8)；The seat ring sensor (10) being arranged on pitch variable bearings seat ring (8)；Pitch variable bearings
Blowout patche (2)；The first axle coil sensor (11) and the second blowout patche sensor that horizontal symmetrical is arranged on pitch variable bearings blowout patche (2)
(12)；Data collection and analysis unit (13) and wind field Central Control Room (16)；
Wherein, seat ring sensor (10) is used to perceive the vibration of pitch variable bearings seat ring (8)；
First axle coil sensor (11) and the second blowout patche sensor (12) are used to perceive the vibration of pitch variable bearings blowout patche (2)；
Data collection and analysis unit (13), setting in hub interior, for synchronous acquisition first axle coil sensor signal,
Second blowout patche sensor signal and seat ring sensor signal, to first axle coil sensor signal, the second blowout patche sensor signal and
Seat ring sensor signal is handled and is analyzed, and determines whether pitch variable bearings and connection bolt occur according to handling and analyzing result
The malfunction monitoring result of pitch variable bearings and connection bolt is transmitted to wind field Central Control Room by failure；
Wind field control room (16) for reporting automatically to received malfunction monitoring result real-time display, and according to monitoring result
It is alert.
The utility model embodiment installs a seat ring sensor on pitch variable bearings seat ring and respectively in pitch variable bearings axis
The blowout patche sensor of two horizontal symmetricals is installed on circle, and is believed by seat ring sensor of the data collection and analysis unit to acquisition
Number and blowout patche sensor signal analyzed and handled, real-time monitoring is carried out to bolt fracture and pitch variable bearings failure to realize,
Solve the problems, such as that pitch variable bearings and connection bolt can not real-time monitorings in current wind-powered electricity generation operation.The utility model embodiment can
Whether the bolt of real-time monitoring pitch variable bearings is broken, and issues alert notice automatically by system at the first time in fracture, no
Manual analysis data are needed, analysis efficiency is higher.It can also be achieved the real time fail of pitch variable bearings by the utility model embodiment
Monitoring, and automatic alarm is realized in failure early stage, effectively avoid the bearing fault accumulative later period from generating the serious event such as clamping stagnation and cracking
Barrier, substantially increases the safety in operation of Wind turbines.
Detailed description of the invention
The utility model is described in further detail below according to drawings and examples.
Fig. 1 is the pitch variable bearings of an embodiment of the present invention and the monitoring of structures schematic diagram for connecting bolt.
Fig. 2 is the pitch variable bearings of another embodiment of the utility model and the schematic diagram of connection bolt monitoring system.
Fig. 3 is the monitoring system according to wind-driven generator pitching bearing provided by the embodiment of the utility model and connection bolt
Structural block diagram.
Fig. 4 is wind-driven generator pitching bearing provided by the embodiment of the utility model and connection bolt state monitoring method
Flow chart.
Fig. 5 is the pitch variable bearings provided according to the utility model exemplary embodiment and the status monitoring algorithm for connecting bolt
Process.
In figure:
1, blade root section；2, pitch variable bearings blowout patche；3, stud；4, blade root nut；Pitch variable bearings rolling element；6, wheel hub
Nut；7, wheelboss flange；8, pitch variable bearings seat ring；9, boss bolt；10, seat ring sensor；11, blowout patche sensor 1；12, axis
Coil sensor 2；13, data collection and analysis unit；14, engine room control cabinet；15, tower bottom interchanger；16, wind field Central Control Room.
Specific embodiment
It is described in further detail below in conjunction with technical solution of the attached drawing to the utility model embodiment, it is clear that institute
The embodiment of description is only the utility model a part of the embodiment, instead of all the embodiments.Based in the utility model
Embodiment, those skilled in the art's every other embodiment obtained without creative efforts all belongs to
In the range of the utility model protection.
Embodiment one
Fig. 1 is the monitoring of structures according to wind-driven generator pitching bearing provided by the embodiment of the utility model and connection bolt
Schematic diagram.Mainstream model all uses 3 blade modes at present, and 3 blade pitch systems are identical, and the utility model embodiment is with one
It is illustrated for blade.Pass through double end as shown in Figure 1 for pitch variable bearings and the monitoring of structures schematic diagram of connection bolt, blade root 1
Bolt 3 and blade root nut 4 and pitch variable bearings blowout patche 2 link together；Pitch variable bearings seat ring 8 passes through boss bolt 9 and wheel hub spiral shell
Mother 6 is connected on wheelboss flange 7, and such pitch variable bearings blowout patche can realize rotation by rolling element 5 and pitch variable bearings seat ring.From
At present from the point of view of the analysis of failure pitch variable bearings, most of bolt fracture and bearing fault occur in blowout patche, and occur at 0 degree and 10
Position is spent, therefore, the utility model embodiment installs a seat ring sensor 10 on pitch variable bearings seat ring 8 and respectively in variable pitch
The the second blowout patche sensor 11 and the second blowout patche sensor 12 of two horizontal symmetricals are installed, to realize to bolt on bearing blowout patche 2
Fracture and pitch variable bearings failure carry out real-time monitoring.
Fig. 2 is the monitoring system according to wind-driven generator pitching bearing provided by the embodiment of the utility model and connection bolt
Schematic diagram.First axle coil sensor 11 and 12 horizontal symmetrical of the second blowout patche sensor are mounted on pitch variable bearings blowout patche, are used for
The vibration of pitch variable bearings blowout patche (2) is perceived, seat ring sensor 10 is mounted on pitch variable bearings seat ring, for perceiving pitch variable bearings seat
The vibration of (8) is enclosed, the setting of data acquisition and analysis system 13 is used for synchronous acquisition seat ring sensor 10, first axle in hub interior
The sensing signal of coil sensor 11 and the second blowout patche sensor 12, and sensing signal is handled and analyzed.Data are adopted simultaneously
Set analysis system 13 transmits the sensing signal of acquisition and processing result by way of slip ring wire communication or wireless telecommunications
To engine room control cabinet 14, enter tower bottom interchanger 15 via engine room control cabinet, last tower bottom interchanger 15 believes received sensing
Number and processing result be transmitted to wind field Central Control Room 16.Therefore, maintenance personnel can pass through wind field Central Control Room real-time monitoring pitch axis
Hold and connect the state of bolt.
Embodiment two
Fig. 3 is the monitoring system according to wind-driven generator pitching bearing provided by the embodiment of the utility model and connection bolt
Structural block diagram.The system includes: pitch variable bearings seat ring 8；Seat ring sensing 10 on pitch variable bearings seat ring 8 is set；Pitch axis
Hold blowout patche 2；First axle coil sensor 11 and the second blowout patche sensor 12 on pitch variable bearings blowout patche 2 is arranged in horizontal symmetrical；Number
According to acquisition and analytical unit 13 and wind field Central Control Room 16.
Seat ring sensor 10 is used to perceive the vibration of pitch variable bearings seat ring；First axle coil sensor 11 and the second blowout patche sensing
Device 12 is used to perceive the vibration of pitch variable bearings blowout patche.Optionally, seat ring sensor 10, first axle coil sensor 11 and the second blowout patche
Sensor 12 is all made of vibrating sensor.
Data collection and analysis unit for synchronous acquisition first axle coil sensor signal, the second blowout patche sensor signal and
Seat ring sensor signal, at first axle coil sensor signal, the second blowout patche sensor signal and seat ring sensor signal
Reason and analysis determine whether pitch variable bearings and connection bolt break down according to handling and analyzing result, by pitch variable bearings and company
The malfunction monitoring result of connecting bolt is transmitted to wind field Central Control Room.
Wind field control room is used for received monitoring result real-time display pitch variable bearings and the state for connecting bolt, and according to
Monitoring result automatic alarm.
Optionally, data collection and analysis unit includes bolt fracture monitoring subelement, pitch variable bearings malfunction monitoring list
Member, sensing signal and monitoring result export subelement.Bolt fracture monitors subelement and is used for according to first axle coil sensor signal
The indexs such as indexs, the kurtosis of the second blowout patche sensor signal such as kurtosis and the indexs such as kurtosis of seat ring sensor signal determine leaf
Whether piece connection bolt connects bolt with wheel hub normal；Pitch variable bearings malfunction monitoring subelement is used to believe first axle coil sensor
Number handled, and according to the processing result of the first axle coil sensor signal of three blades determine pitch variable bearings whether occur therefore
Barrier；First axle coil sensor signal, the second blowout patche sensor that sensing signal and monitoring result output subelement are used to acquire
Signal and seat ring sensor signal and monitoring result are transmitted to wind field Central Control Room.
Optionally, the system of the utility model embodiment further includes engine room control cabinet 14 and tower bottom interchanger 15, and data are adopted
Collection and analytical unit 13 by the first axle coil sensor signal of acquisition, the second blowout patche sensor signal and seat ring sensor signal with
And processing result is transmitted to engine room control cabinet 14 by way of slip ring wire communication or wireless telecommunications, and is controlled by cabin
Cabinet 14 is sent to tower bottom interchanger 15, finally will be transmitted to wind field Central Control Room 16.
Optionally, seat ring sensor 10, first axle coil sensor 11, the second blowout patche sensor 12 are vibrating sensor.
The utility model embodiment installs a seat ring sensor on pitch variable bearings seat ring and respectively in pitch variable bearings axis
The blowout patche sensor of two horizontal symmetricals is installed on circle, and is believed by seat ring sensor of the data collection and analysis unit to acquisition
Number and blowout patche sensor signal analyzed and handled, real-time monitoring is carried out to bolt fracture and pitch variable bearings failure to realize,
Solve the problems, such as that pitch variable bearings and connection bolt can not real-time monitorings in current wind-powered electricity generation operation.The utility model embodiment passes through
Whether the bolt that pitch variable bearings can be monitored in real time is broken, and issues alarm automatically by system at the first time in fracture and lead to
Know.
Embodiment three
The utility model embodiment provides a kind of wind-driven generator pitching bearing and connection bolt state monitoring method, figure
4 be wind-driven generator pitching bearing provided by the embodiment of the utility model and the flow chart for connecting bolt state monitoring method, is somebody's turn to do
Method includes the following steps 100 to step 108.
Step 100, first axle coil sensor signal, the second blowout patche sensing of three blades of wind-driven generator are obtained respectively
Device signal and seat ring sensor signal.
Since bolt fracture or bearing damage will generate high-frequency percussion signal, first axle coil sensor, the second blowout patche
Sensor, third blowout patche sensor select vibrating sensor.
Step 102, for each blade, first axle coil sensor signal, the second blowout patche sensor signal are calculated separately
With the indexs such as the kurtosis of seat ring sensor signal.
Step 104, believed according to the indexs such as the kurtosis of first axle coil sensor signal of three blades, the second blowout patche sensor
Number the indexs such as kurtosis determine that blade connects bolt and whether connects bolt with wheel hub with indexs such as the kurtosis of seat ring sensor signal
Normally.
According to high-frequency signal by pitch variable bearings rolling element and between oil film transmitting when can occur very big decaying this
Feature, if blade connects bolt fracture with pitch variable bearings blowout patche, the impact that fracture moment generates can make first axle coil sensor and
The response ratio seat ring sensor of second blowout patche sensor is big.If similarly wheel hub connects bolt fracture with pitch variable bearings seat ring, fracture
The impact that moment generates can make the response ratio first axle coil sensor of seat ring sensor and the second blowout patche sensor big.If pitch axis
Hold rolling element break down then to 3 sensors generate impact it is essentially identical.
Step 106, the first axle coil sensor signal of three blades is handled.
Step 108, determine whether pitch variable bearings are sent out according to the processing result of the first axle coil sensor signal of three blades
Raw failure.
Optionally, before step 102, this method further include: to first axle coil sensor signal, the second blowout patche sensor
Signal and seat ring sensor signal are filtered.
Due to that can generate many mechanical oscillation interference when wheel hub and blade rotate, the frequency of these interference signals is substantially low
Frequently, it is filtered first to reduce signal interference.
Optionally, step 104, according to the indexs such as the kurtosis of the first axle coil sensor signal, the second blowout patche sensor
The indexs such as the kurtosis of signal and the indexs such as the kurtosis of seat ring sensor signal, which determine, to be connected bolt by blade with wheel hub to connect bolt different
It is often whether normal, comprising:
For each blade, first axle coil sensor signal, the second blowout patche sensor signal and seat ring sensor are judged
Whether the indexs such as the kurtosis of signal are all larger than the first predetermined threshold；If being all larger than the first predetermined threshold, current is saved
The indexs such as the kurtosis of one blowout patche sensor signal, the second blowout patche sensor signal and seat ring sensor signal；
First axle coil sensor signal, the second blowout patche sensor signal and the seat ring sensor saved for three blades
The indexs such as the kurtosis of signal synchronize analysis, determine the maximum value of the indexs such as the kurtosis of first axle coil sensor signal respectively
A1max, the second blowout patche sensor signal the indexs such as kurtosis maximum value A2max and seat ring sensor signal the indexs such as kurtosis
Maximum value A3max, design factor K1=A1max/A3max；K2=A2max/A3max；
If K1 or K2 is greater than the second predetermined threshold, it is determined that it is abnormal that blade connects bolt, if K1 or K2 is less than third
Predetermined threshold, it is determined that wheel hub connects bolt exception, and wherein second predetermined value is greater than third predetermined threshold.
Optionally, the first predetermined threshold is 4, and the second predetermined threshold is 8, and third predetermined threshold is 0.12.
Optionally, step 106, the sensor signal of the first axle coil sensor of three blades is handled, comprising:
The root-mean-square value for calculating separately the first axle coil sensor signal of three blades obtains the first blowout patche of the first blade
The root-mean-square value of the root-mean-square value Blade1-RMS1 of sensor signal, the transducing signal of the first axle coil sensor of the second blade
Blade2-RMS1, third blade first axle coil sensor signal root-mean-square value Blade3-RMS1；
It is divided into three band signals after carrying out high-pass filtering to the first axle coil sensor signal of each blade, and counts respectively
Calculate the virtual value of three band signals；
It calculates the standard deviation of following data: calculating the standard of the root-mean-square value of the first axle coil sensor signal of three blades
Poor σ 1；Calculate the standard deviation sigma 2 of the virtual value of the first band signal of three blades；Calculate the second band signal of three blades
Virtual value standard deviation sigma 3；Calculate the standard deviation sigma 4 of the virtual value of the third band signal of three blades.
Optionally, step 108, pitch variable bearings are determined according to the processing result of the first axle coil sensor signal of three blades
Whether break down, comprising: if standard deviation sigma 1 is greater than the 4th predetermined threshold, and one in standard deviation sigma 2, σ 3, σ 4 is greater than the
Five predetermined thresholds, it is determined that pitch variable bearings break down.
Preferably, the 5th predetermined threshold is less than the 4th predetermined threshold.It is highly preferred that the 4th threshold value is 0.2, the 5th threshold value is
0.1。
The utility model embodiment passes through the first axle coil sensor signal to three blades, the second blowout patche sensor signal
It is handled and is analyzed with seat ring sensor signal, and pitch variable bearings are determined according to processing and analysis result and whether connect bolt
It breaks down, in the first time broken down alert notice is issued by system automatically, realized to bolt fracture and pitch variable bearings
Failure carries out real-time monitoring, solve the problems, such as in the operation of current wind-powered electricity generation pitch variable bearings and connection bolt can not real-time monitoring, greatly
The safety in operation of Wind turbines is improved greatly.
Exemplary embodiment
Illustrate the bolt fracture and pitch variable bearings malfunction monitoring algorithm of the utility model embodiment in an illustrative manner below.
Fig. 5 is the pitch variable bearings provided according to the utility model exemplary embodiment and the status monitoring algorithm flow for connecting bolt.
Bolt fracture and pitch variable bearings malfunction monitoring algorithm
Step 1: obtaining first axle coil sensor signal, the second blowout patche sensor of three blades of wind-driven generator respectively
Signal and seat ring sensor signal are expressed as sensor signal 1, sensor information 2, sensor signal 3.Correspondingly, will
First axle coil sensor, the second blowout patche sensor and seat ring sensor are expressed as sensor 1, sensor 2, sensor 3.
Since bolt fracture or bearing damage will generate high-frequency percussion signal, sensor 1,2,3 selects vibrating sensing
Device.
Step 2: due to that can generate many mechanical oscillation interference when wheel hub and blade rotate, these interference signal frequencies are basic
In low frequency, in order to reduce signal interference, need to be filtered to sensor signal 1, sensor information 2, sensor signal 3
According to high-frequency signal by pitch variable bearings rolling element and between oil film transmitting when can occur very big decaying this
Feature, if blade connects bolt fracture with pitch variable bearings blowout patche, the impact that fracture moment generates can make the response of sensor 1 and 2
It is bigger than sensor 3.If similarly wheel hub connects bolt fracture with pitch variable bearings seat ring, the impact that fracture moment generates can make sensor
3 response ratio sensor 1 and 2 is big.The basic phase of impact that 3 sensors are generated if pitch variable bearings rolling element breaks down
Together.
Step 3: calculating the indexs Cp such as the kurtosis of sensor signal 1,2,3 in real time and be denoted as Cp1, Cp2, Cp3 respectively, normally
The indexs Cp such as the kurtosis of sensor signal 1,2,3 are generally less than 3, illustrate to deposit in signal when Cp1 >=4 or Cp2 >=4 or Cp3 >=4
It is obviously impacting, while the group data for saving current 3 sensors enter step 4, other data for being unsatisfactory for the requirement are not protected
It deposits.
Step 4:. synchronizes analysis to the data retained by step 3 processing, is found out in the index signals such as kurtosis respectively
Maximum value, A1max, A2max, A3max, i.e., the Cp1 maximizing saved after step 3 processing for 3 blades
A1max, the Cp2 maximizing A2max saved after step 3 processing for 3 blades, for 3 blades by step 3 place
The Cp3 maximizing A3max saved after reason.Determine discriminant coefficient K1=A1max/A3max；K2=A1max/A3max.
If K1 >=8 or K2 >=8, system output blade connects bolt exception, if K1≤0.12 or the system of K2≤0.12
It is abnormal that output hub connects bolt.
Step 5: time domain index calculating being carried out to 1 initial data of sensor Jing Guo above-mentioned steps 1, calculating root-mean-square value is
RMS value, 3 blade synchronizations calculate.If pitch variable bearings 1 are denoted as respectively: Blade1-RMS1,；Pitch variable bearings 2 are denoted as Blade2-
RMS1；Pitch variable bearings 3 are denoted as Blade3-RMS1；
Before calculating root-mean-square value, synchronizes and the raw sensor signal 1 of 3 blades is filtered.
Step 6: filtered data being subjected to FFT processing, since data are by filtering, according to sampling principle analysis spectrum model
It is trapped among between fi-f0.Frequency between fi-fo is divided into 3 frequency bands, wherein first band fi-f1Hz is denoted as band1；Second
Frequency band f1-f2 is denoted as band2；Third frequency band f2-foHz is denoted as band3；Calculate separately the effective of 3 band signals of blade 1
Value is (Blade1-band1-Rms, Blade1-band2-Rms, Blade1-band3-Rms), 3 frequencies of blade 2 and blade 3
The virtual value of band signal is respectively as follows: (Blade2-band1-Rms, Blade2-band2-Rms, Blade2-band3-Rms),
(Blade3-band1-Rms,Blade3-band2-Rms,Blade3-band3-Rms)。
Step 7: since the probability that 3 vane propeller-changing bearings break down simultaneously is lower, so utilizing the same position of 3 blades
It sets sensor values and carries out differentiation comparison, calculate the standard deviation of following groups data, first group of root-mean-square value for 3 blades
(Blade1-Rms1, Blade2-Rms1, Blade3-Rms1), the standard deviation of first group of data is denoted as σ 1；Second group of data is 3
Virtual value (Blade1-band1-Rms, Blade2-band1-Rms, Blade3-band1- of the first band signal of branch blade
Rms), the standard deviation of second group of data is denoted as σ 2；Third group data are the virtual value of the second band signal of 3 blades
The standard deviation of (Blade1-band2-Rms, Blade2-band2-Rms, Blade3-band2-Rms), third group data are denoted as σ
3；4th group of Data Data is virtual value (Blade1-band3-Rms, the Blade2- of the third band signal of 3 blades
Band3-Rms, Blade3-band3-Rms), the standard deviation of the 4th group of signal is denoted as σ 4.
Step 8: if σ 1 >=0.2；And 4 >=0.1 systems of σ 2 >=0.1 or σ 3 >=0.1 or σ export pitch variable bearings failure.
Technical principle of the utility model has been described above with reference to specific embodiments.These descriptions are intended merely to explain this reality
With novel principle, and it cannot be construed to the limitation to scope of protection of the utility model in any way.
Claims (4)
1. a kind of wind-driven generator pitching bearing and the monitoring system for connecting bolt characterized by comprising pitch variable bearings seat ring
(8)；The seat ring sensor (10) being arranged on pitch variable bearings seat ring (8)；Pitch variable bearings blowout patche (2)；Horizontal symmetrical setting is becoming
Paddle shaft holds first axle coil sensor (11) and the second blowout patche sensor (12) on blowout patche (2)；Data collection and analysis unit
(13) and wind field Central Control Room (16)；
Wherein, seat ring sensor (10) is used to perceive the vibration of pitch variable bearings seat ring (8)；
First axle coil sensor (11) and the second blowout patche sensor (12) are used to perceive the vibration of pitch variable bearings blowout patche (2)；
Data collection and analysis unit (13), setting are used for synchronous acquisition first axle coil sensor signal, second in hub interior
Blowout patche sensor signal and seat ring sensor signal, to first axle coil sensor signal, the second blowout patche sensor signal and seat ring
Sensor signal is handled and is analyzed, and determines whether pitch variable bearings and connection bolt occur event according to handling and analyzing result
The malfunction monitoring result of pitch variable bearings and connection bolt is transmitted to wind field Central Control Room by barrier；
Wind field control room (16) is used for received malfunction monitoring result real-time display, and according to monitoring result automatic alarm.
2. system according to claim 1, which is characterized in that data collection and analysis unit (13) includes bolt fracture prison
Survey subelement (131), pitch variable bearings malfunction monitoring subelement (132), sensing signal and monitoring result output subelement (133)；
Wherein, bolt fracture monitoring subelement (131) is for the kurtosis index according to first axle coil sensor signal, the second blowout patche
The kurtosis index of sensor signal determines that blade connects bolt and connects bolt with wheel hub with the kurtosis index of seat ring sensor signal
It is whether normal；
Pitch variable bearings malfunction monitoring subelement (132) is used to handle the first axle coil sensor signal of three blades, and
Determine whether pitch variable bearings break down according to the processing result of the first axle coil sensor signal of three blades；
First axle coil sensor signal, the second blowout patche that sensing signal and monitoring result output subelement (133) are used to acquire
Sensor signal and seat ring sensor signal and monitoring result are transmitted to wind field Central Control Room (16).
3. system according to claim 2, which is characterized in that further include: engine room control cabinet (14) and tower bottom interchanger
(15), wherein sensing signal and monitoring result export subelement (133) for first axle coil sensor signal, the second axis of acquisition
Coil sensor signal and seat ring sensor signal and monitoring result are passed by way of slip ring wire communication or wireless telecommunications
Engine room control cabinet (14) are transported to, tower bottom interchanger (15) are sent to by engine room control cabinet (14), finally by tower bottom interchanger
(15) wind field Central Control Room (16) are transmitted to.
4. system according to any one of claim 1-3, which is characterized in that seat ring sensor (10), the first blowout patche pass
Sensor (11), the second blowout patche sensor (12) are vibrating sensor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920099872.6U CN209469542U (en) | 2019-01-22 | 2019-01-22 | A kind of wind-driven generator pitching bearing and connection bolt condition monitoring system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920099872.6U CN209469542U (en) | 2019-01-22 | 2019-01-22 | A kind of wind-driven generator pitching bearing and connection bolt condition monitoring system |
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| CN209469542U true CN209469542U (en) | 2019-10-08 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113048025A (en) * | 2019-12-27 | 2021-06-29 | 新疆金风科技股份有限公司 | State monitoring system and method for wind generating set |
| CN113720525A (en) * | 2020-05-25 | 2021-11-30 | 北京金风科创风电设备有限公司 | Fault detection equipment and method for blade load sensor of wind generating set |
-
2019
- 2019-01-22 CN CN201920099872.6U patent/CN209469542U/en active Active
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113048025A (en) * | 2019-12-27 | 2021-06-29 | 新疆金风科技股份有限公司 | State monitoring system and method for wind generating set |
| CN113048025B (en) * | 2019-12-27 | 2022-11-29 | 新疆金风科技股份有限公司 | State monitoring system and method for wind generating set |
| CN113720525A (en) * | 2020-05-25 | 2021-11-30 | 北京金风科创风电设备有限公司 | Fault detection equipment and method for blade load sensor of wind generating set |
| CN113720525B (en) * | 2020-05-25 | 2024-04-19 | 北京金风科创风电设备有限公司 | Fault detection equipment and method for blade load sensor of wind generating set |
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