CN111289179A - Method for detecting unbalanced fusion of impellers of wind generating set - Google Patents
Method for detecting unbalanced fusion of impellers of wind generating set Download PDFInfo
- Publication number
- CN111289179A CN111289179A CN202010143210.1A CN202010143210A CN111289179A CN 111289179 A CN111289179 A CN 111289179A CN 202010143210 A CN202010143210 A CN 202010143210A CN 111289179 A CN111289179 A CN 111289179A
- Authority
- CN
- China
- Prior art keywords
- vibration peak
- vibration
- acceleration
- peak values
- unbalance
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M1/00—Testing static or dynamic balance of machines or structures
- G01M1/14—Determining unbalance
- G01M1/16—Determining unbalance by oscillating or rotating the body to be tested
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Abstract
The invention belongs to the field of unbalance detection and judgment of wind generating sets, and relates to an algorithm for applying an information fusion technology to unbalance detection of a wind generating set, which improves the accuracy of impeller unbalance diagnosis. The invention provides a fusion detection method for unbalance of an impeller of a wind generating set, which comprises the steps of filtering low-frequency measurement noise through a low-pass filter, obtaining a vibration amplitude corresponding to a 1P frequency through a bandwidth filter, then selecting a typical working point (a power curve inflection point and a rated working point) power generation power and a region near the wind speed by considering the influence of the wind speed and the power on vibration acceleration, carrying out secondary filtration on a vibration acceleration measured value, and finally fusing and evaluating an unbalance mode.
Description
Technical Field
The invention relates to the field of unbalance detection and judgment of wind generating sets, in particular to a method for detecting unbalance fusion of impellers of a wind generating set.
Background
The unbalanced wind turbine generator impeller mainly comprises two aspects of mass unbalance (vibration in the left and right directions of a cabin) and aerodynamic unbalance (vibration in the front and back directions of the windward direction), and no matter which type of unbalance can bring vibration with a large swing amplitude to the wind turbine generator, so that the service life and the safety of the wind turbine generator are damaged. In actual operation, the imbalance of the impeller often causes the wind turbine to vibrate too much, including vibration of the nacelle along the wind direction, transverse vibration of the nacelle, vibration of the nacelle in the torsional direction and the like.
The vibration can cause obvious gear box front and back movement, strong left and right shaking of the engine room, and yawing brake position movement, and can seriously generate strong noise at the yawing position to damage internal parts of the engine room. The unbalance of the impeller can bring tower top vibration and affect the safety of the tower. The imbalance of the impeller also has a great influence on the strength of the blades themselves. The problem of unbalance is serious or is not processed for a long time, the reliability of the wind turbine generator is influenced, and the service life of the wind turbine generator is shortened. In order to prevent the wind turbine from generating serious failure, it is necessary to monitor and protect the fault state of the wind turbine at the initial stage of the problem.
The existing monitoring and diagnosing method based on vibration signals needs to install a large number of high-precision sensors. The diagnostic method is not only costly, but also the reliability cannot be guaranteed due to the harsh and variable operating environment. In practice, only a few nacelle positions are provided with vibration sensors, and the vibration sensor measurement result is a vibration acceleration measurement X, Y signal. The measured vibration amplitude is influenced by factors such as wind speed, wind direction, rotating speed and power generation power, so that the detection result is inaccurate, and therefore the influence of the factors needs to be overcome when the unbalance of the measured value of the vibration sensor is accurately judged.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides the method for detecting the imbalance fusion of the impeller of the wind generating set, which at least solves the technical problem that the detection result is inaccurate because the measured vibration amplitude is influenced by wind speed and power generation power factors in the conventional vibration signal-based monitoring and diagnosis method.
In order to achieve the purpose, the invention is realized by the following technical scheme:
a wind generating set impeller imbalance fusion detection method comprises the following steps:
s1, removing measurement noise from a vibration acceleration measurement X signal and a vibration acceleration measurement Y signal obtained from a vibration sensor through low-pass filtering, and then performing band-pass filtering, and then extracting vibration peak values in a 1P frequency region in groups, wherein the vibration peak values comprise an acceleration X vibration peak value and an acceleration Y vibration peak value;
s2, based on wind speed measurement and power generation power measurement, extracting vibration peak values of which time values are simultaneously located in a rated wind speed interval and a rated power interval and extracting vibration peak values of which time values are simultaneously located in an inflection point wind speed interval and an inflection point power interval according to the corresponding time matching of the vibration peak values;
and S3, aiming at each group of vibration peak values obtained in the step S2, if the number of times that the vibration peak value of the acceleration X is different from the vibration peak value of the acceleration Y is more than N times, carrying out unbalanced alarm.
Optionally, in step S1, the deviation between the time value of the acceleration X vibration peak in each group of vibration peaks and the time value of the acceleration Y vibration peak in the group of vibration peaks is less than 0.05 milliseconds.
Alternatively, in step S3, the threshold N is calculated based on the following formula:
Alternatively, in step S3, when the number of occurrences of the vibration peak difference is greater than N times, it is determined that:
if all the groups of vibration peak values are acceleration X vibration peak values which are larger than acceleration Y vibration peak values, the pneumatic unbalance alarm is carried out;
and if the vibration peak values of all the groups are acceleration X vibration peak values which are smaller than acceleration Y vibration peak values, the mass unbalance alarm is carried out.
The invention has the beneficial effects that:
the invention provides a fusion detection method for unbalance of an impeller of a wind generating set, which comprises the steps of filtering low-frequency measurement noise through a low-pass filter, obtaining a vibration amplitude corresponding to a 1P frequency through a bandwidth filter, then selecting power of a typical working point (a power curve inflection point and a rated working point) and a region near the wind speed by considering the influence of the wind speed and the power on vibration acceleration, carrying out secondary filtration on a vibration acceleration measured value, and finally carrying out fusion evaluation on an unbalance mode.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
FIG. 1 is a flow chart of a wind turbine generator system impeller imbalance fusion detection method;
fig. 2 is an operation schematic diagram of a wind turbine generator system impeller imbalance fusion detection method.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
Referring to fig. 1, the method for detecting the fusion of the imbalance of the impeller of the wind turbine generator system provided by the invention comprises the following steps:
and S1, removing measurement noise from the vibration acceleration measurement X signal and the vibration acceleration measurement Y signal obtained from the vibration sensor through low-pass filtering, and then performing band-pass filtering, and then extracting vibration peak values in a 1P frequency region in groups, wherein the vibration peak values comprise an acceleration X vibration peak value and an acceleration Y vibration peak value. The 1P frequency is the rotational frequency at which the wind turbine is operated. Specifically, the deviation between the time value of the acceleration X vibration peak value in each group of vibration peak values and the time value of the acceleration Y vibration peak value in the group of vibration peak values is less than 0.05 millisecond.
And S2, based on the wind speed measurement and the power generation power measurement, extracting the vibration peak value of which the time value is positioned in the rated wind speed interval and the rated power interval simultaneously and extracting the vibration peak value of which the time value is positioned in the inflection point wind speed interval and the inflection point power interval simultaneously according to the corresponding time matching of the vibration peak value. And selecting areas near the power and the wind speed of typical working points (power curve inflection points and rated working points), carrying out secondary filtration on the vibration acceleration measured value, and finally fusing and evaluating the unbalance mode. In one embodiment, on the basis of wind speed measurement, a time point which is about 20% of the wind speed at the inflection point of a rated wind speed and power curve is selected; and selecting a time point which is about 20 percent of rated power and power curve inflection point power on the basis of the generated power measurement.
And S3, aiming at each group of vibration peak values obtained in the step S2, if the number of times that the vibration peak value of the acceleration X is different from the vibration peak value of the acceleration Y is more than N times, carrying out unbalanced alarm. The purpose of setting N times is to avoid false alarm caused by wind (turbulence). Because the interference factors are more under the field test condition, especially the unit meets gust or sudden driftage etc. all can produce short-time impact vibration signal, causes the deviation of output data. In order to avoid false alarm, when the unbalance is detected in an overrun mode and is delayed for a period of time, the unbalance is regarded as unbalance, and when the unbalance exceeds a threshold value for N times, the unbalance alarms; when the vibration peak value of the acceleration X is larger than the vibration peak value of the acceleration Y, the pneumatic imbalance is realized; otherwise, the mass is unbalanced.
Specifically, in step S3, the threshold N is calculated based on the following formula:
As a further improvement of the above, in step S3, when the number of occurrences of the vibration peak difference is greater than N times, it is determined that:
if all the groups of vibration peak values are acceleration X vibration peak values which are larger than acceleration Y vibration peak values, the pneumatic unbalance alarm is carried out;
if all the groups of vibration peak values are acceleration X vibration peak values which are smaller than acceleration Y vibration peak values, mass unbalance alarm is carried out;
and if the acceleration X vibration peak value is larger than the acceleration Y vibration peak value and the acceleration X vibration peak value is smaller than the acceleration Y vibration peak value in all the vibration peak values, performing secondary judgment, namely if the acceleration X vibration peak value is larger than the acceleration Y vibration peak value continuously, the acceleration X vibration peak value is smaller than the acceleration Y vibration peak value continuously, performing pneumatic unbalance alarm, and otherwise performing mass unbalance alarm.
Preferably, if the pneumatic unbalance alarm occurs, firstly detecting whether the mounting position of the blade on the hub is dislocated, and if the mounting position of the blade on the hub is not dislocated, then weakening the vibration by adopting a wave trap and an independent variable pitch control mode; if mass unbalance alarm occurs, the mode of increasing or decreasing the mass block and the mode of increasing the damping of the transmission chain are mainly adopted to weaken vibration.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (4)
1. A wind generating set impeller imbalance fusion detection method is characterized by comprising the following steps:
s1, removing measurement noise from a vibration acceleration measurement X signal and a vibration acceleration measurement Y signal obtained from a vibration sensor through low-pass filtering, and then performing band-pass filtering, and then extracting vibration peak values in a 1P frequency region in groups, wherein the vibration peak values comprise an acceleration X vibration peak value and an acceleration Y vibration peak value;
s2, based on wind speed measurement and power generation power measurement, extracting vibration peak values of which time values are simultaneously located in a rated wind speed interval and a rated power interval and extracting vibration peak values of which time values are simultaneously located in an inflection point wind speed interval and an inflection point power interval according to the corresponding time matching of the vibration peak values;
and S3, aiming at each group of vibration peak values obtained in the step S2, if the number of times that the vibration peak value of the acceleration X is different from the vibration peak value of the acceleration Y is more than N times, carrying out unbalanced alarm.
2. The wind generating set impeller imbalance fusion detection method according to claim 1, characterized in that: in step S1, the deviation between the time value of the acceleration X vibration peak and the time value of the acceleration Y vibration peak in each group of vibration peaks is less than 0.05 milliseconds.
4. The method for detecting the fusion of the imbalance of the impeller of the wind generating set according to the claim 3, wherein in the step S3, when the occurrence frequency of the vibration peak value difference is more than N times, the judgment is made:
if all the groups of vibration peak values are acceleration X vibration peak values which are larger than acceleration Y vibration peak values, the pneumatic unbalance alarm is carried out;
and if the vibration peak values of all the groups are acceleration X vibration peak values which are smaller than acceleration Y vibration peak values, the mass unbalance alarm is carried out.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010143210.1A CN111289179B (en) | 2020-03-04 | 2020-03-04 | Method for detecting unbalanced fusion of impellers of wind generating set |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010143210.1A CN111289179B (en) | 2020-03-04 | 2020-03-04 | Method for detecting unbalanced fusion of impellers of wind generating set |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111289179A true CN111289179A (en) | 2020-06-16 |
CN111289179B CN111289179B (en) | 2022-06-03 |
Family
ID=71021693
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010143210.1A Active CN111289179B (en) | 2020-03-04 | 2020-03-04 | Method for detecting unbalanced fusion of impellers of wind generating set |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111289179B (en) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS6035236A (en) * | 1983-08-08 | 1985-02-23 | Anritsu Corp | Detecting device for abnormality of rotary body |
CN105569932A (en) * | 2016-01-08 | 2016-05-11 | 新疆金风科技股份有限公司 | Dynamic unbalance online testing and fault identification method and system for wind turbine generators |
CN106197849A (en) * | 2016-06-30 | 2016-12-07 | 西安热工研究院有限公司 | A kind of detection and the diagnosis pneumatic unbalanced method of wind turbine impeller |
CN108644069A (en) * | 2018-04-27 | 2018-10-12 | 三重能有限公司 | Blade unbalance detection and device |
CN109655200A (en) * | 2017-10-12 | 2019-04-19 | 中车株洲电力机车研究所有限公司 | A kind of unbalanced diagnostic method of wind-driven generator group wind-wheel and system |
-
2020
- 2020-03-04 CN CN202010143210.1A patent/CN111289179B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS6035236A (en) * | 1983-08-08 | 1985-02-23 | Anritsu Corp | Detecting device for abnormality of rotary body |
CN105569932A (en) * | 2016-01-08 | 2016-05-11 | 新疆金风科技股份有限公司 | Dynamic unbalance online testing and fault identification method and system for wind turbine generators |
CN106197849A (en) * | 2016-06-30 | 2016-12-07 | 西安热工研究院有限公司 | A kind of detection and the diagnosis pneumatic unbalanced method of wind turbine impeller |
CN109655200A (en) * | 2017-10-12 | 2019-04-19 | 中车株洲电力机车研究所有限公司 | A kind of unbalanced diagnostic method of wind-driven generator group wind-wheel and system |
CN108644069A (en) * | 2018-04-27 | 2018-10-12 | 三重能有限公司 | Blade unbalance detection and device |
Non-Patent Citations (1)
Title |
---|
周迎九等: "海上陆上风电机组风轮不平衡的辨识方法", 《船舶工程》 * |
Also Published As
Publication number | Publication date |
---|---|
CN111289179B (en) | 2022-06-03 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP3440348B1 (en) | Method and system for controlling a wind turbine to manage edgewise blade vibrations | |
EP2026160B1 (en) | Event monitoring via combination of signals | |
CN1707262B (en) | Methods and apparatus for rotor blade ice detection | |
CN104075795A (en) | Method and system for monitoring vibration state of impeller of wind generating set | |
CN105136435B (en) | A kind of method and apparatus of wind generator set blade fault diagnosis | |
CN109209783A (en) | A kind of method and device of the lightning damage based on noise measuring blade | |
CN110905732B (en) | Method and system for identifying unbalance of wind wheel of wind turbine generator and storage medium | |
CN107192446B (en) | Method for monitoring natural frequency of tower of wind generating set | |
CN103998775A (en) | Method for determining mechanical damage to a rotor blade of a wind turbine | |
CN104515677A (en) | Failure diagnosing and condition monitoring system for blades of wind generating sets | |
CN111512043B (en) | Method and system for controlling a wind turbine to manage edge blade vibrations | |
EP2610604B1 (en) | Method for oscillation measurement on rotor blades of wind power installations | |
CN111594395B (en) | Wind turbine generator tower resonance identification method and device and monitoring alarm system | |
CN104101652A (en) | Audio signal based wind power blade damage monitoring method and system | |
EP3642481A1 (en) | A method for determining wind turbine blade edgewise load recurrence | |
CN112796943B (en) | Operation control method and system for wind turbine generator set under extreme wind power condition | |
CN111289179B (en) | Method for detecting unbalanced fusion of impellers of wind generating set | |
CA3181438A1 (en) | Device for identifying an accumulation of ice on rotor blades of a wind turbine and method for teaching such a device | |
CN111173687B (en) | On-line monitoring device and method for crack damage of wind power fan blade | |
CN109026555B (en) | Method and apparatus for identifying stall of blade | |
CN113790129B (en) | Fan blade sound signal acquisition optimal position selection method | |
KR20240016353A (en) | Detection methods and related devices for wind power generators | |
CN114542402A (en) | Wind power blade fault type online diagnosis method and system based on multi-parameter analysis | |
CN115698503A (en) | Method for monitoring the condition of a drive train or a tower of a wind turbine and wind turbine | |
CN113494429A (en) | Method for monitoring pneumatic imbalance of fan blade |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |