A coupling operation fault detection method suitable for wind turbines

Abstract

The present invention discloses a coupling operation fault detection method applicable to a wind turbine generator set, which belongs to the technical field of fault detection and includes the following steps: S1, using a temperature sensor to collect the temperature value of the bearing on the coupling; S2, calculating the temperature convergence granularity according to the temperature value of the bearing on the coupling, and determining the upper and lower limits of the temperature convergence interval according to the temperature convergence granularity to generate a temperature convergence interval; S3, judging whether the coupling has a fault based on the temperature convergence interval. The present invention analyzes and processes the temperature value changes at all times according to the temperature value collected by the temperature sensor installed on the coupling bearing, obtains the temperature convergence granularity, obtains two temperature difference values ​​according to the temperature convergence granularity, and finally generates a temperature convergence interval; judging whether the bearing of the coupling has a fault through the temperature convergence interval, timely discovering the operation problem of the coupling, and facilitating the maintenance of the wind turbine generator set.

Description

Technical Field

[0001] The invention belongs to the technical field of fault detection, and in particular relates to a coupling operation fault detection method suitable for a wind turbine generator set. Background Art

[0002] As an important component of a wind turbine, the coupling is a connecting device between the main gearbox and the generator of the wind turbine. It plays an important role in transmitting the torque and speed of the wind wheel, alleviating the impact of vibration on the gearbox and generator, and protecting the transmission chain from overload.

[0003] In practical applications, it is very important to select a suitable temperature range for the coupling. If the coupling works in an environment beyond its operating temperature range, it may cause deformation and cracking of the coupling material, or even cause the entire wind turbine to fail. Therefore, it is necessary to monitor the temperature of the coupling in real time. The existing technology for coupling temperature monitoring of wind turbines mainly uses temperature sensors installed on the coupling and its key parts to manually monitor the temperature of the motor in real time, but it has certain limitations, is inaccurate and labor-intensive. Summary of the invention

[0004] In order to solve the above problems, the present invention proposes a coupling operation fault detection method suitable for a wind turbine generator set.

[0005] The technical solution of the present invention is: a coupling operation fault detection method applicable to a wind turbine generator set comprises the following steps:

[0006] S1. Use a temperature sensor to collect the temperature value of the bearing on the coupling;

[0007] S2. Calculate the temperature convergence granularity according to the temperature value of the bearing on the coupling, and determine the upper limit and lower limit of the temperature convergence interval according to the temperature convergence granularity to generate the temperature convergence interval;

[0008] S3. Based on the temperature convergence range, determine whether the coupling is faulty.

[0009] Furthermore, S2 includes the following sub-steps:

[0010] S21, calculating the information entropy corresponding to the temperature value of the bearing at each moment by using the entropy weight method;

[0011] S22, determining the temperature relationship at each moment according to the information entropy corresponding to the temperature value at each moment;

[0012] S23, determining the temperature granularity at the initial moment and the temperature granularity at the final moment according to the temperature relationship at each moment;

[0013] S24, determining the temperature convergence granularity according to the temperature granularity at the initial moment and the temperature granularity at the final moment;

[0014] S25. Determine the temperature convergence range according to the temperature convergence granularity.

[0015] The beneficial effect of the above further solution is that in the present invention, an inappropriate temperature of the coupling may cause the lubricating oil inside the coupling to overheat, and the lubricating oil is prone to deterioration, thereby affecting the service life of the coupling.

[0016] The information entropy corresponding to the temperature value at each moment can reflect the discrete degree of the temperature value at that moment. The temperature relationship at each moment is obtained through the information entropy of each moment, which is essentially a vector. Then, the temperature granularity corresponding to the temperature value at the initial moment and the final moment is extracted according to the temperature relationship at all moments to determine the temperature convergence interval. The temperature convergence interval can reflect the normal temperature range of the bearing within a period of time, so it can be used to determine whether there is abnormal temperature in the coupling.

[0017] Furthermore, in S22, the temperature relationship E at the mth moment m The calculation formula is: Where, X m represents the temperature value at the mth moment, X m+1 represents the temperature value at the m+1th moment, X m-1 represents the temperature value at the m-1th moment, U m represents the information entropy at the mth moment, U m+1 represents the information entropy at the m+1th moment, U m-1 Represents the information entropy at the m-1th moment.

[0018] Further, in S23, the temperature granularity X at the initial moment initial The calculation formula is: Where, E m represents the temperature relationship at the mth moment, E1 represents the temperature relationship at the initial moment, and M represents the total number of all moments;

[0019] In S23, the temperature granularity X at the final moment final The calculation formula is: Where, E M Represents the temperature relationship at the final moment.

[0020] Further, in S24, the temperature convergence granularity X fade The calculation formula is: Where, X initial represents the temperature granularity at the initial moment, X final Indicates the temperature granularity at the final moment, and % indicates the remainder operation.

[0021] Further, S25 includes the following sub-steps:

[0022] S251, taking the temperature convergence granularity as the predicted value, calculating the root mean square error between the temperature values ​​at all times and the predicted value as the first temperature difference value;

[0023] S252, calculating the variance of the temperature values ​​at all times as a second temperature difference value;

[0024] S253, taking the smaller value of the first temperature difference value and the second temperature difference value as the lower limit of the temperature convergence interval;

[0025] S254. Determine the upper limit of the temperature convergence range.

[0026] Furthermore, in S254, the calculation formula of the upper limit X1 of the temperature convergence interval is: ; Wherein, X0 represents the lower limit of the temperature convergence region, and δ represents the larger value of the first temperature difference value and the second temperature difference value.

[0027] Further, in S3, the method for determining whether the coupling is faulty is as follows: if the bearing has a temperature value that does not belong to the temperature convergence interval, the coupling is faulty; otherwise, the coupling is not faulty.

[0028] The beneficial effects of the present invention are as follows: the present invention discloses a coupling operation fault detection method suitable for a wind turbine generator set, which analyzes and processes the temperature value changes at all times according to the temperature values ​​collected by the temperature sensor installed on the coupling bearing, obtains the temperature convergence granularity, obtains two temperature difference values ​​according to the temperature convergence granularity, and finally generates a temperature convergence interval; the temperature convergence interval is used to judge whether the coupling bearing has a fault, and the operation problem of the coupling is discovered in time, which is convenient for the maintenance of the wind turbine generator set. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A flow chart of a coupling operation fault detection method applicable to a wind turbine. DETAILED DESCRIPTION

[0030] The embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0031] like Figure 1 As shown, the present invention provides a coupling operation fault detection method applicable to a wind turbine generator set, comprising the following steps:

[0032] S1. Use a temperature sensor to collect the temperature value of the bearing on the coupling;

[0033] S2. Calculate the temperature convergence granularity according to the temperature value of the bearing on the coupling, and determine the upper limit and lower limit of the temperature convergence interval according to the temperature convergence granularity to generate the temperature convergence interval;

[0034] S3. Based on the temperature convergence range, determine whether the coupling is faulty.

[0035] In this embodiment of the present invention, S2 includes the following sub-steps:

[0036] S21, calculating the information entropy corresponding to the temperature value of the bearing at each moment by using the entropy weight method;

[0037] S22, determining the temperature relationship at each moment according to the information entropy corresponding to the temperature value at each moment;

[0038] S23, determining the temperature granularity at the initial moment and the temperature granularity at the final moment according to the temperature relationship at each moment;

[0039] S24, determining the temperature convergence granularity according to the temperature granularity at the initial moment and the temperature granularity at the final moment;

[0040] S25. Determine the temperature convergence range according to the temperature convergence granularity.

[0041] In the present invention, an inappropriate temperature of the coupling may cause the lubricating oil inside the coupling to overheat, and the lubricating oil is prone to deterioration, thereby affecting the service life of the coupling.

[0042] The information entropy corresponding to the temperature value at each moment can reflect the discrete degree of the temperature value at that moment. The temperature relationship at each moment is obtained through the information entropy of each moment, which is essentially a vector. Then, the temperature granularity corresponding to the temperature value at the initial moment and the final moment is extracted according to the temperature relationship at all moments to determine the temperature convergence interval. The temperature convergence interval can reflect the normal temperature range of the bearing within a period of time, so it can be used to determine whether there is abnormal temperature in the coupling.

[0043] In the embodiment of the present invention, in S22, the temperature relationship E at the mth moment m The calculation formula is: Where, X m represents the temperature value at the mth moment, X m+1 represents the temperature value at the m+1th moment, X m-1 represents the temperature value at the m-1th moment, U m represents the information entropy at the mth moment, U m+1 represents the information entropy at the m+1th moment, U m-1 Represents the information entropy at the m-1th moment.

[0044] In the embodiment of the present invention, in S23, the temperature granularity X at the initial momentinitial The calculation formula is: Where, E m represents the temperature relationship at the mth moment, E1 represents the temperature relationship at the initial moment, and M represents the total number of all moments;

[0045] In S23, the temperature granularity X at the final moment final The calculation formula is: Where, E M Represents the temperature relationship at the final moment.

[0046] In the embodiment of the present invention, in S24, the temperature convergence granularity X fade The calculation formula is: Where, X initial represents the temperature granularity at the initial moment, X final Indicates the temperature granularity at the final moment, and % indicates the remainder operation.

[0047] In this embodiment of the present invention, S25 includes the following sub-steps:

[0048] S251, taking the temperature convergence granularity as the predicted value, calculating the root mean square error between the temperature values ​​at all times and the predicted value as the first temperature difference value;

[0049] S252, calculating the variance of the temperature values ​​at all times as a second temperature difference value;

[0050] S253, taking the smaller value of the first temperature difference value and the second temperature difference value as the lower limit of the temperature convergence interval;

[0051] S254. Determine the upper limit of the temperature convergence range.

[0052] In the embodiment of the present invention, in S254, the calculation formula of the upper limit X1 of the temperature convergence interval is: ; Wherein, X0 represents the lower limit of the temperature convergence region, and δ represents the larger value of the first temperature difference value and the second temperature difference value.

[0053] In the embodiment of the present invention, in S3, the method for determining whether the coupling is faulty is as follows: if the bearing has a temperature value that does not belong to the temperature convergence interval, the coupling is faulty; otherwise, the coupling is not faulty.

[0054] In the embodiment of the present invention, the parameters may be normalized to eliminate the influence of the dimension and avoid calculation errors.

[0055] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and should be understood that the protection scope of the present invention is not limited to such specific statements and embodiments. Those skilled in the art can make various other specific variations and combinations that do not deviate from the essence of the present invention based on the technical revelations disclosed by the present invention, and these variations and combinations are still within the protection scope of the present invention.

Claims

1. A coupling operation fault detection method suitable for a wind turbine generator set, characterized in that: The following steps are involved: S1. Use a temperature sensor to collect the temperature value of the bearing on the coupling; S2. Calculate the temperature convergence granularity according to the temperature value of the bearing on the coupling, and determine the upper limit and lower limit of the temperature convergence interval according to the temperature convergence granularity to generate the temperature convergence interval; S3. Based on the temperature convergence range, determine whether the coupling is faulty; The S2 comprises the following sub-steps: S21, calculating the information entropy corresponding to the temperature value of the bearing at each moment by using the entropy weight method; S22, determining the temperature relationship at each moment according to the information entropy corresponding to the temperature value at each moment; S23, determining the temperature granularity at the initial moment and the temperature granularity at the final moment according to the temperature relationship at each moment; S24, determining the temperature convergence granularity according to the temperature granularity at the initial moment and the temperature granularity at the final moment; S25, determining a temperature convergence range according to the temperature convergence granularity; In S22, according to the information entropy corresponding to the temperature value at each moment, the calculation formula for determining the temperature relationship at each moment is: Where, E m represents the temperature relationship at the mth moment, X m represents the temperature value at the mth moment, X m+1 represents the temperature value at the m+1th moment, X m-1 represents the temperature value at the m-1th moment, U m represents the information entropy corresponding to the temperature value at the mth moment, U m+1 represents the information entropy corresponding to the temperature value at the m+1th moment, U m-1 Represents the information entropy corresponding to the temperature value at the m-1th moment; In S23, the temperature granularity X at the initial moment initial The calculation formula is: Where, E m represents the temperature relationship at the mth moment, E1 represents the temperature relationship at the initial moment, and M represents the total number of all moments; In S23, the temperature granularity X at the final moment final The calculation formula is: Where, E M Represents the temperature relationship at the final moment.

2. The coupling operation fault detection method applicable to a wind turbine according to claim 1, characterized in that: In S24, the temperature converges to a particle size X fade The calculation formula is: Where X initial represents the temperature granularity at the initial moment, X final Indicates the temperature granularity at the final moment, and % indicates the remainder operation.

3. The coupling operation fault detection method applicable to a wind turbine according to claim 1, characterized in that: The S25 comprises the following sub-steps: S251, taking the temperature convergence granularity as the predicted value, calculating the root mean square error between the temperature values ​​at all times and the predicted value as the first temperature difference value; S252, calculating the variance of the temperature values ​​at all times as a second temperature difference value; S253, taking the smaller value of the first temperature difference value and the second temperature difference value as the lower limit of the temperature convergence interval; S254. Determine the upper limit of the temperature convergence range.

4. The coupling operation fault detection method applicable to a wind turbine according to claim 3 is characterized in that: In S254, the upper limit X1 of the temperature convergence interval is calculated as follows: ; Wherein, X0 represents the lower limit of the temperature convergence region, and δ represents the larger value of the first temperature difference value and the second temperature difference value.

5. The coupling operation fault detection method applicable to a wind turbine according to claim 1, characterized in that: In S3, the method for judging whether the coupling is faulty is as follows: if the bearing has a temperature value that does not belong to the temperature convergence interval, the coupling is faulty; otherwise, the coupling is not faulty.

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