Method and system for evaluating running state of main bearing of wind generating set

Abstract

The invention discloses a method and system for evaluating the running state of a main bearing of a wind generating set, and the method comprises the steps: firstly obtaining the running data of the main bearing, then judging whether overtemperature abnormity, vibration aggravation or grease abnormity occurs, and if not, judging that the main bearing runs normally; if yes, whether the main bearing is cleaned due to overtemperature abnormity or not is judged in combination with historical cleaning data. If yes, whether overtemperature abnormity, vibration abnormity or grease deterioration still exists or not is judged; and if abnormal cleaning due to overtemperature does not exist or the situation does not exist after cleaning, main bearing maintenance is requested. Then, according to the maintained operation parameters, whether the temperature is over-high or not is judged, and if the temperature is over-high or abnormity still exists after cleaning, it is judged that the main bearing fails; and if no overtemperature exists after maintenance, normal judgment is performed. By adopting the method, the accuracy of judging the running state of the main bearing can be improved.

Description

Technical Field

[0001] This invention belongs to the field of wind power generation, specifically relating to a method and system for evaluating the operating status of the main bearing of a wind turbine generator set. Background Technology

[0002] The main bearing is one of the most important components of a wind turbine generator set. Its operating condition directly determines the service life and operational reliability of the wind turbine generator set. Proper monitoring can identify and correct impending faults. Without adequate monitoring and without taking appropriate corrective measures when necessary, the failure of the main bearing will lead to the shutdown of the wind turbine generator set and the loss of power generation time.

[0003] Currently, wind turbine generators use either temperature or vibration monitoring as a single indicator to assess the operating status of the main bearing. When the main bearing temperature exceeds a set value or the vibration exceeds a certain level, on-site personnel go up the tower to inspect the main bearing and report back to the technicians. The technicians then use their experience to determine whether the main bearing is in a failed state or still operational. This single assessment method is prone to misjudging the main bearing's operating status, hindering maintenance personnel from taking timely and accurate maintenance measures. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for evaluating the operating status of the main bearing of a wind turbine generator set, so as to improve the accuracy of judging the operating status of the main bearing.

[0005] In a first aspect, the present invention provides a method for evaluating the operating status of the main bearing of a wind turbine generator set, comprising: S1. Obtain the main bearing operating data, and then execute S2; wherein, the main bearing operating data includes operating parameter data and historical cleaning data.

[0006] S2. Based on the operating parameter data, determine whether there is an overheating abnormality, increased vibration, or abnormal grease. If so, execute S3; otherwise, execute S8.

[0007] S3. Based on historical cleaning data, determine whether the main bearing has been cleaned and if the cleaning reason is abnormal over-temperature. If so, execute S4; otherwise, execute S5.

[0008] S4. Based on the operating parameter data, determine whether there is an abnormal temperature, abnormal vibration, or deterioration of the grease. If so, proceed to S7; otherwise, proceed to S5.

[0009] S5. Request main bearing maintenance, then execute S6.

[0010] S6. Based on the operating parameter data after the main bearing maintenance, determine whether an over-temperature abnormality has occurred. If so, execute S7; otherwise, execute S8.

[0011] S7. Determine that the main bearing is in a failed state, and then end.

[0012] S8. Determine that the main bearing is in normal operating condition, and then end.

[0013] Preferably, the operating parameter data includes the main bearing operating temperature report, the main bearing vibration diagnosis report, and the main bearing grease test report; the historical cleaning data includes the cleaning time, number of cleanings, and reasons for cleaning since the main bearing was connected to the grid.

[0014] Preferably, if a temperature alarm record or temperature fault record appears in the main bearing operating temperature report, it is determined that an over-temperature abnormality has occurred.

[0015] Preferably, if the main bearing temperature is greater than the first preset temperature, a temperature alarm is triggered; if the main bearing temperature is greater than the second preset temperature, a temperature fault is triggered; wherein the second preset temperature is greater than the first preset temperature.

[0016] Preferably, if the main bearing vibration diagnosis report shows a record of increased vibration or the current vibration level is greater than the vibration level at the time of the last diagnosis, then it is determined that increased vibration has occurred; if the vibration level in the main bearing vibration diagnosis report is level three or above, then it is determined that abnormal vibration has occurred.

[0017] Preferably, if the iron content in the main bearing grease test report is greater than the first preset content threshold, or the copper content is greater than the second preset content threshold, or the content of ferromagnetic particles (i.e., PQ) is greater than the third preset content threshold, then the grease is determined to be abnormal; if the iron content in the main bearing grease test report is greater than the fourth preset content threshold, and the content of ferromagnetic particles is greater than the fifth preset content threshold, then the grease is determined to be deteriorated; wherein, the fourth preset content threshold is greater than the first preset content threshold, and the fifth preset content threshold is greater than the third preset content threshold.

[0018] Preferably, the first preset content threshold is 2000 ppm, the second preset content threshold is 5000 ppm, the third preset content threshold is 2000 ppm, the fourth preset content threshold is 6000 ppm, and the fifth preset content threshold is 20000 ppm.

[0019] Secondly, the present invention provides a main bearing operating status assessment system for wind turbine generator sets, comprising a controller configured to execute the above-described main bearing operating status assessment method for wind turbine generator sets.

[0020] The present invention has the following effects: (1) Using overheating, increased vibration, or grease abnormalities as trigger conditions, the abnormal conditions of the main bearing are quickly identified. If these conditions are not present, the main bearing is directly determined to be in normal operating condition, avoiding over-testing of the absence of abnormal conditions. If these conditions are present, historical cleaning data is introduced for cross-validation: if cleaning was performed due to overheating, it indicates that the main bearing may have persistent hidden dangers, requiring deeper testing. The judgment indicators are refined (increased vibration is upgraded to abnormal vibration, and grease abnormality is upgraded to grease deterioration) to accurately identify whether the hidden danger has developed into a serious problem, avoiding misjudging minor abnormalities as failures. If cleaning has not been performed or cleaning has been performed for other reasons (i.e., other than overheating), a maintenance request is directly triggered to distinguish between the first abnormality and recurring abnormality scenarios. This judgment logic ensures that no abnormal conditions are missed and reduces the possibility of misjudging a single indicator through multi-condition cross-validation, thereby improving the accuracy of the main bearing operating condition judgment.

[0021] (2) In the early stage of anomalies (such as increased vibration but not yet abnormal vibration, or abnormal grease but not yet deteriorated grease), maintenance requests are triggered to prevent small problems from developing into major failures and reduce downtime losses caused by sudden failures. Through double verification before and after maintenance, the failure state of the main bearing (such as still exceeding the temperature after maintenance) is ensured to be identified in a timely manner, preventing the main bearing from continuing to work in a dangerous state and reducing the risk of equipment damage. In the case of no abnormalities, the main bearing is directly judged to be in normal operating condition, avoiding unnecessary maintenance and downtime, and ensuring the stable operation efficiency of the wind turbine generator set. Attached Figure Description

[0022] Figure 1 This is a flowchart of the method for evaluating the operating status of the main bearing of a wind turbine generator set in an embodiment of the present invention. Detailed Implementation

[0023] To gain a more detailed understanding of the features and technical content of the embodiments of the present invention, the implementation of the embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for reference and illustration only and are not intended to limit the embodiments of the present invention.

[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein is for the purpose of describing embodiments of the invention only and is not intended to limit the invention.

[0025] In the following description, references are made to “some embodiments,” which describe a subset of all possible embodiments. However, it is understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0026] like Figure 1As shown in the figure, a method for evaluating the operating status of the main bearing of a wind turbine generator set according to an embodiment of the present invention includes: S1. Obtain the main bearing operating data, and then execute S2.

[0027] The main bearing operating data includes operating parameter data and historical cleaning data.

[0028] In some embodiments, the operating parameter data includes the main bearing operating temperature report, the main bearing vibration diagnostic report, and the main bearing grease test report. Historical cleaning data includes the cleaning time, number of cleanings, and reasons for cleaning since the main bearing was connected to the grid. If the historical cleaning data is blank, it indicates that the main bearing has not been cleaned since grid connection. The main bearing operating temperature report is exported from the wind farm's central monitoring system (SCADA), the main bearing vibration diagnostic report is provided by the CMS manufacturer, the main bearing grease test report is provided by a third-party testing agency, and the historical cleaning data is provided by the on-site project team.

[0029] S2. Based on the operating parameter data, determine whether there is an overheating abnormality, increased vibration, or abnormal grease. If so, execute S3; otherwise, execute S8.

[0030] In some embodiments, if a temperature alarm record or a temperature fault record appears in the main bearing operating temperature report, an over-temperature anomaly is determined to have occurred. If the main bearing temperature exceeds a first preset temperature, a temperature alarm is triggered; if the main bearing temperature exceeds a second preset temperature, a temperature fault is triggered; wherein the second preset temperature is greater than the first preset temperature. For example, typically, a main bearing temperature exceeding 65°C will trigger a temperature alarm, and a main bearing temperature exceeding 70°C will trigger a temperature fault. The temperature alarm threshold (i.e., the first preset temperature) and the temperature fault threshold (i.e., the second preset temperature) are not entirely the same for different brands of main bearings; for example, for IMO main bearings, a temperature alarm will only be triggered if the main bearing temperature exceeds 85°C, and a temperature fault will only be triggered if the main bearing temperature exceeds 90°C.

[0031] In some embodiments, if the main bearing vibration diagnosis report shows a record of increased vibration or the current vibration level is greater than the vibration level at the time of the last diagnosis, it is determined that increased vibration has occurred. As an example, the main bearing vibration diagnosis report is divided into five levels according to the intensity of vibration, with level one being the least and level five being the most intense.

[0032] In some embodiments, if the iron (Fe) content in the main bearing grease test report is greater than a first preset threshold, or the copper (Cu) content is greater than a second preset threshold, or the ferromagnetic particle content (PQ) is greater than a third preset threshold, then a grease abnormality is determined. The Fe, Cu, and PQ contents in the main bearing grease test report are measured by a third-party testing organization in a laboratory according to the requirements of NB / SH / T 0864 and ASTM D8184 standards, and the unit is mg / kg (ppm).

[0033] As an example, the first preset content threshold is 2000ppm, the second preset content threshold is 5000ppm, and the third preset content threshold is 2000ppm.

[0034] S3. Based on historical cleaning data, determine whether the main bearing has been cleaned and the reason for cleaning is over-temperature abnormality. If so, execute S4; otherwise (i.e., it has not been cleaned, or it has been cleaned for reasons other than over-temperature abnormality), execute S5.

[0035] S4. Based on the operating parameter data, determine whether there is an abnormal temperature, abnormal vibration, or deterioration of the grease. If so, proceed to S7; otherwise, proceed to S5.

[0036] In some embodiments, if the vibration level in the main bearing vibration diagnosis report is level three or above, then an abnormal vibration is determined to have occurred.

[0037] In some embodiments, if the iron content in the main bearing grease test report is greater than a fourth preset content threshold, and the content of ferromagnetic particles (i.e., PQ) is greater than a fifth preset content threshold, then grease deterioration is determined to have occurred. The fourth preset content threshold is greater than a first preset content threshold, and the fifth preset content threshold is greater than a third preset content threshold. For example, the fourth preset content threshold is 6000 ppm, and the fifth preset content threshold is 20000 ppm.

[0038] S5. Request main bearing maintenance, then execute S6.

[0039] As an example, main bearing maintenance measures include, but are not limited to, re-cleaning, forced grease injection, and unclogging of grease drain holes.

[0040] S6. Based on the operating parameter data after the main bearing maintenance, determine whether an over-temperature abnormality has occurred. If so, execute S7; otherwise, execute S8.

[0041] S7. Determine that the main bearing is in a failed state, and then end.

[0042] S8. Determine that the main bearing is in normal operating condition (can continue to operate), and then end.

[0043] Assuming the main bearing abnormality is triggered by increased vibration or grease malfunction, and the main bearing has been cleaned, but the cause of the cleaning was not over-temperature, then after the main bearing maintenance, we will reassess whether over-temperature is present. If it is, the main bearing is considered to be in a failed state. Conversely, if the cleaning was caused by over-temperature, we need to reassess whether over-temperature, vibration, or grease deterioration is present. If so, the main bearing is considered to be in a failed state. If not, we will perform bearing maintenance, and after maintenance, we will reassess whether there has been continuous deterioration to the point of over-temperature. If so, the main bearing is considered to be in a failed state. If not, the main bearing is considered to be in normal operating condition (and can continue to operate).

[0044] Assuming the current main bearing anomaly is triggered by over-temperature, the initial assessment is based on historical cleaning data. If the main bearing was previously cleaned, but the cause was not over-temperature, then main bearing maintenance will be performed. After maintenance, it's determined whether the over-temperature anomaly persists: if it does, the maintenance was ineffective, and the main bearing is in a failed state; if the over-temperature anomaly disappears after maintenance, the main bearing has not reached a failed state and can continue operation. Conversely, if the cleaning cause was over-temperature, and this current over-temperature anomaly indicates two over-temperature anomalies, the main bearing is determined to be in a failed state.

[0045] Main bearing temperature is the most lagging indicator of main bearing operating condition; vibration and grease data reflect changes in main bearing condition more early than temperature. When the main bearing temperature becomes abnormal, it usually indicates significant damage. If the main bearing temperature stabilizes after initial maintenance due to overheating, it means the main bearing can still operate for a period. If the wind turbine overheats again, it indicates further deterioration of the main bearing, suggesting it may be severely damaged. At this point, the risk of main bearing failure is high, and immediate replacement is necessary.

[0046] The embodiments of the present invention make a comprehensive judgment based on indicators such as temperature, vibration, grease, and cleaning, which solves the problems of inaccurate judgment of the main bearing operating status based on a single indicator such as temperature or vibration and long judgment time due to the experience of technicians. It improves the accuracy of main bearing operating status judgment and the timeliness of operation and maintenance process.

[0047] In addition, embodiments of the present invention also provide a main bearing operation status assessment system for wind turbine generator sets, which includes a controller configured to execute the above-described main bearing operation status assessment method for wind turbine generator sets.

[0048] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for evaluating the operating status of the main bearing of a wind turbine generator set, characterized in that, include: S1. Obtain the main bearing operating data, and then execute S2; wherein, the main bearing operating data includes operating parameter data and historical cleaning data; S2. Based on the operating parameter data, determine whether there is an overheating abnormality, increased vibration, or abnormal grease. If so, execute S3; otherwise, execute S8. S3. Based on historical cleaning data, determine whether the main bearing has been cleaned and the reason for the cleaning is abnormal over-temperature. If so, proceed to S4; otherwise, proceed to S5. S4. Based on the operating parameter data, determine whether there is an overheating abnormality, vibration abnormality, or grease deterioration. If so, proceed to S7; otherwise, proceed to S5. S5. Request main bearing maintenance, then execute S6; S6. Based on the operating parameter data after the main bearing maintenance, determine whether an over-temperature abnormality has occurred. If so, proceed to S7; otherwise, proceed to S8. S7. Determine that the main bearing is in a failed state, and then end; S8. Determine that the main bearing is in normal operating condition, and then end.

2. The method for evaluating the operating status of the main bearing of a wind turbine generator set according to claim 1, characterized in that: The operating parameter data includes the main bearing operating temperature report, the main bearing vibration diagnosis report, and the main bearing grease test report; The historical cleaning data includes the cleaning time, number of cleanings, and reasons for cleaning since the main bearing was connected to the grid.

3. The method for evaluating the operating status of the main bearing of a wind turbine generator set according to claim 2, characterized in that: If a temperature alarm record or temperature fault record appears in the main bearing operating temperature report, it is determined that an over-temperature abnormality has occurred.

4. The method for evaluating the operating status of the main bearing of a wind turbine generator set according to claim 3, characterized in that: If the main bearing temperature is greater than the first preset temperature, a temperature alarm will be triggered; if the main bearing temperature is greater than the second preset temperature, a temperature fault will be triggered; wherein the second preset temperature is greater than the first preset temperature.

5. The method for evaluating the operating status of the main bearing of a wind turbine generator set according to claim 2, characterized in that: If the main bearing vibration diagnosis report shows a record of increased vibration or the current vibration level is greater than the vibration level at the time of the last diagnosis, then it is determined that the vibration has increased. If the vibration level in the main bearing vibration diagnosis report is level three or above, then an abnormal vibration is determined to have occurred.

6. The method for evaluating the operating status of the main bearing of a wind turbine generator set according to claim 2, characterized in that: If the iron content in the main bearing grease test report is greater than the first preset content threshold, or the copper content is greater than the second preset content threshold, or the ferromagnetic particle content is greater than the third preset content threshold, then the grease is determined to be abnormal. If the iron content in the main bearing grease test report is greater than the fourth preset content threshold and the content of ferromagnetic particles is greater than the fifth preset content threshold, then grease deterioration is determined to have occurred; wherein, the fourth preset content threshold is greater than the first preset content threshold and the fifth preset content threshold is greater than the third preset content threshold.

7. The method for evaluating the operating status of the main bearing of a wind turbine generator set according to claim 6, characterized in that: The first preset content threshold is 2000 ppm, the second preset content threshold is 5000 ppm, the third preset content threshold is 2000 ppm, the fourth preset content threshold is 6000 ppm, and the fifth preset content threshold is 20000 ppm.

8. A system for evaluating the operating status of the main bearing of a wind turbine generator set, comprising a controller, characterized in that: The controller is configured to perform the main bearing operating status assessment method for wind turbine generator sets as described in any one of claims 1 to 7.

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