Method for detecting the measurement accuracy of a gas turbine speed sensor

Abstract

The present application relates to the technical field of rotational speed sensor detection, and particularly relates to a rotational speed sensor measurement precision detection method based on a gas turbine, comprising the following steps: S1, rotational speed sensor installation; S2, adjustment of the sound wheel rotational speed; S3, comparison of the rotational speed sensor measurement value.The present application adjusts the rotational speed sensor position, adjusts the sound wheel rotational speed according to the vibration power spectrum data and the temperature data, and compares the measurement data after stripping the influence of the vibration power spectrum data and the temperature data on the measurement value.Compared with the measurement method of the existing rotational speed sensor, the method can realize the detection of the rotational speed sensor measurement precision based on the actual working condition of the gas turbine, so as to meet the rotational speed measurement requirement under the multiple stress coupling environments based on the gas turbine rotational speed sensor, and at the same time, the rotational speed of the sound wheel can be adjusted based on the vibration power spectrum data and the temperature data, the measurement value of the rotational speed sensor can be compared, and the accuracy of the measurement precision based on the gas turbine rotational speed sensor can be improved.

Description

Technical Field

[0001] This invention relates to the field of speed sensor detection technology, and in particular to a method for detecting the measurement accuracy of a speed sensor based on a gas turbine. Background Technology

[0002] Gas turbine speed is a key parameter reflecting the unit's operating status and ensuring the effective operation of the control system. Its measurement accuracy directly affects the reliability of overspeed protection, fuel regulation, and performance evaluation. Currently, magnetoelectric, eddy current, and Hall effect speed sensors are widely used. However, these types of speed sensors are prone to signal distortion, momentary interruptions, sensitivity decay, and loose installation due to long-term exposure to harsh operating conditions involving high temperatures, strong broadband vibrations, oil mist, and electromagnetic interference. Therefore, we urgently need a method for detecting the measurement accuracy of gas turbine speed sensors.

[0003] Currently, the methods for detecting the measurement accuracy of gas turbine speed sensors include: 1. Online monitoring method: This method simultaneously collects speed signals, sensor mounting vibration signals, and local temperature signals during the online monitoring of the gas turbine. It infers whether the speed sensor is loose, overheated, or malfunctioning by setting vibration amplitude exceeding the limit or temperature abnormality threshold. This method is essentially still a simple judgment based on a single parameter threshold. It lacks the ability to use multi-sensor information (e.g., acoustic emission, shaft displacement, lubricating wear particles, housing noise) for in-depth fusion analysis. It cannot separate the coupling effect of external operating condition disturbances and sensor degradation itself, and it is difficult to capture the gradual trend of performance change and remaining life. More importantly, this method relies on the actual operating gas turbine unit for passive measurement. It cannot actively apply multi-physics field coupling boundary conditions on a controllable and reproducible measurement platform. Therefore, it cannot form a standardized speed sensor detection and evaluation system. 2. Offline standard speed calibration method: This method uses a servo motor to drive a precision gear disk or sound wheel, and uses a high-precision photoelectric encoder or calibration speed sensor as a reference to compare the output signal of the speed sensor under test with the standard value to obtain indicators such as static accuracy and output waveform. This method can calibrate the basic error, but the measurement conditions are singular and cannot simulate the complex stresses that exist in the actual operation of the gas turbine (e.g., temperature field alternation, structural broadband excitation, power supply ripple and spatial electromagnetic interference coupling), resulting in serious deficiencies in the assessment of the speed sensor's dynamic response, anti-interference ability and long-term drift characteristics. Summary of the Invention

[0004] To address the shortcomings of existing production technologies, the applicant provides a method for detecting the measurement accuracy of a gas turbine-based speed sensor. By improving the detection method for the gas turbine speed sensor measurement accuracy, this method meets the speed measurement requirements under various stress coupling environments and improves the accuracy of the gas turbine-based speed sensor measurement.

[0005] The technical solution adopted in this invention is as follows: A method for detecting the measurement accuracy of a speed sensor based on a gas turbine includes the following steps: S1. Speed ​​sensor installation: Install the speed sensor into the mounting position, and adjust the actual mounting position according to the offset value between the actual mounting position and the standard mounting position until the actual mounting position coincides with the standard mounting position. S2. Adjustment of the speed of the tone wheel: Based on the vibration power spectrum data and temperature data collected in real time by the tone wheel, the speed of the tone wheel is adjusted so that the actual speed of the tone wheel is the standard speed value. S3. Comparison of speed sensor measurements: Obtain the standard speed value from a standard speed sensor. The required real-time measured speed value from the speed sensor. and the real-time measured speed value Real-time intrinsic rotational speed after removing vibration and temperature effects Then set the standard speed value With real-time intrinsic speed value A comparison is performed to obtain the required measurement accuracy of the speed sensor.

[0006] Therefore, by adjusting the position of the speed sensor and adjusting the speed of the sounder based on vibration power spectrum data and temperature data, and then comparing the measurement data after removing the influence of vibration power spectrum data and temperature data on the measured value, this method can detect the measurement accuracy of the speed sensor based on the actual operating conditions of the gas turbine, thus meeting the speed measurement requirements under various stress coupling environments based on the gas turbine speed sensor. At the same time, it can adjust the speed of the sounder based on vibration power spectrum data and temperature data and compare the measured value of the speed sensor, thereby improving the accuracy of the measurement accuracy based on the gas turbine speed sensor.

[0007] As a further improvement to the above technical solution, step S1 includes the following steps: S1-1, Setting Standard Mounting Position Parameters: Set the distance between the standard mounting position and the laser rangefinder in the X-axis direction. Spacing in the Y-axis direction Spacing in the X-axis direction ; S1-2, Detection of actual installation position parameters: Real-time acquisition of the distance between the actual installation position and the laser rangefinder. ; S1-3. Calculate the projected distance of the actual installation position: Obtain the spacing of S2. The actual installation position and the projected distance of the laser rangefinder in the X-axis direction were calculated. Projected distance in the Y-axis direction Projected distance in the X-axis direction ; S1-4. Adjustment of the actual installation position: Obtain the spacing in S1. ,spacing ,spacing and the projection distance in S2 Projection distance Projection distance To calculate the difference in the X-axis direction. Y-axis direction difference The difference in the Z-axis direction The drive mechanism is based on this difference. , , The actual installation position is adjusted so that it coincides with the standard installation position; Where: In S1-4, the difference in the X-axis direction The calculation formula is: ; Y-axis direction difference The calculation formula is: ; Z-axis direction difference The calculation formula is: .

[0008] As a further improvement to the above technical solution: In S1-4, the driving mechanism includes: a first driving part, a second driving part, a third driving part, and a mounting part. The driving end of the first driving part is connected to the second driving part, the driving end of the second driving part is connected to the third driving part, and the driving end of the third driving part is connected to the mounting part; wherein: the first driving part is used to drive the mounting part to move along the Y-axis direction, the second driving part is used to drive the mounting part to move along the Z-axis direction, and the third driving part is used to drive the mounting part to move along the X-axis direction.

[0009] As a further improvement to the above technical solution: In S1-4, there are two drive mechanisms, which are arranged opposite to each other about the tone wheel along the X-axis direction.

[0010] As a further improvement to the above technical solution, step S2 includes the following steps: S2-1, Disturbance estimate Disturbance pre-compensation: A vibration-temperature-based GPR model is constructed, and the vibration power spectrum data and temperature data collected in real time by the sound wheel are input into the GPR model to output the predicted disturbance. And the disturbance pre-compensation value is calculated. ; S2-2, Final Current Command of the Fourth Drive Unit Real-time acquisition of the rotational speed of the fourth drive unit Initial current command Then obtain the disturbance pre-compensation value in S2-1. And based on that rotational speed Initial current command Disturbance pre-compensation value To calculate the final current command of the fourth drive unit. ; Wherein: the sound wheel is mounted on the drive end of the fourth drive unit. Therefore, in S2-1, by introducing vibration power spectrum data and temperature data, the estimation burden of the extended state observer (ESO) can be reduced, thereby improving the final current command. This allows for greater precision, thereby further improving the accuracy of the required speed sensor measurement.

[0011] As a further improvement to the above technical solution: In S2-1, the disturbance pre-compensation value The calculation formula is: ; in: Indicates the gain scheduling coefficient. This indicates the system control gain.

[0012] As a further improvement to the above technical solution: In S2-2, the final current command of the fourth driving unit... The calculation formula is: ; in: Indicates rotational speed Initial current command Total disturbance in real-time system The estimated disturbance values ​​below This indicates the system control gain.

[0013] As a further improvement to the above technical solution, step S3 includes the following steps: S3-1. Obtain the standard speed value from the standard speed sensor. The required real-time measured speed value from the speed sensor. ; S3-2, Obtain the vibration power spectrum data and temperature data collected in real time from the sound wheel, and obtain the real-time measured rotational speed value from S3-1. The real-time intrinsic speed value was extracted using the FastICA separation method. ; S3-3, Obtain the standard speed value from S3-1 Real-time intrinsic speed values ​​in S3-2 and the standard speed value With real-time intrinsic speed value A comparison is performed to obtain the measurement accuracy of the required speed sensor. Therefore, the S3-2FastICA separation process is used to remove interference from the external environment, thereby obtaining the result of its own performance degradation. This ensures that the final comparison result reflects the performance changes of the required speed sensor, rather than changes in the external environment, thus further improving the accuracy of the required speed sensor measurement.

[0014] As a further improvement to the above technical solution, step 3-3 includes the following steps: S3-3-1. Steady-state error judgment: If the standard speed value With real-time intrinsic speed value If the absolute value of the difference is greater than the preset value, then execute S3-3-2; otherwise, execute S3-3-3. S3-3-2. The required speed sensor is completely faulty or disconnected. S3-3-3, Health status comparison of the required speed sensor: Obtain the real-time measured speed value of the required speed sensor. The corresponding real-time feature vector and the real-time feature vector With health baseline feature vector Compare the results to obtain a health index. If the health index If the value is below a preset threshold, a maintenance warning is triggered to perform maintenance on the speed sensor to be measured; otherwise, it indicates that the speed sensor to be measured is in good health. Therefore, in S3-3-3, the health index... It is a comprehensive judgment based on multiple dimensions and trends, which is more scientific and reliable than the judgment method based on only two speed values. In this way, it can further improve the accuracy of the required speed sensor measurement.

[0015] As a further improvement to the above technical solution: in S2 and S3, the vibration power spectrum data of the sound wheel is acquired in real time by a triaxial vibration acceleration sensor, and the temperature data of the sound wheel is acquired in real time by a temperature sensor.

[0016] The beneficial effects of this invention are as follows: This invention adjusts the position of the speed sensor and the speed of the sounder based on vibration power spectrum data and temperature data. After removing the influence of vibration power spectrum data and temperature data on the measured value, the measured data is compared. Compared with existing speed sensor measurement methods, this method can detect the measurement accuracy of the speed sensor based on the actual operating conditions of the gas turbine, thus meeting the speed measurement requirements under various stress coupling environments based on the gas turbine speed sensor. At the same time, it can adjust the speed of the sounder based on vibration power spectrum data and temperature data and compare the measured value of the speed sensor, thereby improving the accuracy of the measurement accuracy based on the gas turbine speed sensor.

[0017] The present invention also includes the following advantages: 1. In S2-1, this invention reduces the estimation burden of the Extended State Observer (ESO) by introducing vibration power spectrum data and temperature data, thereby improving the final current command. This allows for greater precision, thereby further improving the accuracy of the required speed sensor measurement.

[0018] 2. This invention uses the S3-2FastICA separation process to remove interference from the external environment, thereby obtaining the result of its own performance degradation. This allows the final comparison result to reflect the performance change of the required speed sensor, rather than the change of the external environment, thus further improving the accuracy of the required speed sensor measurement.

[0019] 3. In S3-3-3 of this invention, the health index It is a comprehensive judgment based on multiple dimensions and trends, which is more scientific and reliable than the judgment method based on only two speed values. In this way, it can further improve the accuracy of the required speed sensor measurement. Attached Figure Description

[0020] Figure 1 This is a flowchart of the method for detecting the measurement accuracy of a speed sensor based on a gas turbine according to the present invention; Figure 2 This is a flowchart of S1 of the present invention; Figure 3 This is a flowchart of S2 of the present invention; Figure 4 This is a flowchart of S3 of the present invention; Figure 5 This is a flowchart of S3-3 of the present invention; Figure 6 This is a schematic diagram of the detection device for measuring the accuracy of a speed sensor based on a gas turbine according to the present invention; Figure 7 This is a schematic diagram of the drive mechanism of the present invention; Figure 8 This is a control block diagram of the detection system for measuring the accuracy of a speed sensor based on a gas turbine, according to the present invention.

[0021] Among them: 1. Sound wheel; 2. Laser rangefinder; 3. Drive mechanism; 301. First drive unit; 302. Second drive unit; 303. Third drive unit; 304. Mounting unit; 4. Fourth drive unit; 5. Triaxial vibration accelerometer; 6. Temperature sensor; 7. Bearing housing; 8. Protective cover; 9. Base; 10. Controller; 11. Wireless transmission module; 12. Remote terminal. Detailed Implementation

[0022] The specific embodiments of the present invention will now be described with reference to the accompanying drawings.

[0023] like Figures 1 to 8 The diagram shows the preferred embodiment of the present invention. This embodiment describes a method for detecting the accuracy of a gas turbine speed sensor, comprising the following steps: S1. Speed ​​sensor installation: Install the speed sensor into the mounting position, and adjust the actual mounting position according to the offset value between the actual mounting position and the standard mounting position until the actual mounting position coincides with the standard mounting position. S2. Adjustment of the rotational speed of tone wheel 1: Based on the vibration power spectrum data and temperature data collected in real time by tone wheel 1, the rotational speed of tone wheel 1 is adjusted so that the actual rotational speed of tone wheel 1 is the standard rotational speed value. S3. Comparison of speed sensor measurements: Obtain the standard speed value from a standard speed sensor. The required real-time measured speed value from the speed sensor. and the real-time measured speed value Real-time intrinsic rotational speed after removing vibration and temperature effects Then set the standard speed value With real-time intrinsic speed value A comparison is performed to obtain the required measurement accuracy of the speed sensor. Therefore, by adjusting the position of the speed sensor and adjusting the speed of the sounder 1 based on vibration power spectrum data and temperature data, and then separating the influence of vibration power spectrum data and temperature data on the measured value, the measurement data is compared. Compared with existing speed sensor measurement methods, this method can detect the measurement accuracy of the speed sensor based on the actual operating conditions of the gas turbine, meeting the speed measurement requirements under various stress coupling environments (e.g., vibration, temperature) based on the gas turbine speed sensor. Simultaneously, by adjusting the speed of the sounder 1 based on vibration power spectrum data and temperature data and comparing the measured values ​​of the speed sensor, the accuracy of the gas turbine speed sensor measurement can be improved.

[0024] It should be noted that there is no specific execution order between S1 and S2. S1 can be executed before S2, or S2 can be executed before S1.

[0025] In this embodiment, S1 includes the following steps: S1-1, Setting Standard Mounting Position Parameters: Set the distance between the standard mounting position and the laser rangefinder 2 in the X-axis direction. Spacing in the Y-axis direction Spacing in the X-axis direction ; S1-2, Detection of actual installation position parameters: Real-time acquisition of the distance between the actual installation position and laser rangefinder 2. ; S1-3. Calculate the projected distance of the actual installation position: Obtain the spacing of S2. The actual installation position and the projected distance of the laser rangefinder 2 along the X-axis were calculated. Projected distance in the Y-axis direction Projected distance in the X-axis direction ; S1-4. Adjustment of the actual installation position: Obtain the spacing in S1. ,spacing ,spacing and the projection distance in S2 Projection distance Projection distance To calculate the difference in the X-axis direction. Y-axis direction difference The difference in the Z-axis direction The drive mechanism 3 is based on this difference. , , The actual installation position is adjusted so that it coincides with the standard installation position; Where: In S1-4, the difference in the X-axis direction The calculation formula is: ; Y-axis direction difference The calculation formula is: ; Z-axis direction difference The calculation formula is: ; In S1-4, two drive mechanisms 3 are provided, and the two drive mechanisms 3 are arranged opposite to each other about the tone wheel 1 along the X-axis direction. The drive mechanism 3 includes: a first drive part 301, a second drive part 302, a third drive part 303, and a mounting part 304. The drive end of the first drive part 301 is connected to the second drive part 302, the drive end of the second drive part 302 is connected to the third drive part 303, and the drive end of the third drive part 303 is connected to the mounting part 304. Among them, the first drive part 301 is used to drive the mounting part 304 to move along the Y-axis direction, the second drive part 302 is used to drive the mounting part 304 to move along the Z-axis direction, and the third drive part 303 is used to drive the mounting part 304 to move along the X-axis direction.

[0026] Specifically, the laser rangefinder 2 is located on the side of the sound wheel 1 away from the fourth drive unit 4 in the Y-axis direction, and the laser rangefinder 2 is coaxially arranged with the sound wheel 1.

[0027] For example, the first drive unit 301 adopts a linear guide module, the second drive unit 302 adopts a linear guide module, and the third drive unit 303 adopts a linear guide module. The linear guide module is existing technology and will not be described in detail here.

[0028] In this embodiment, S2-1, disturbance estimate Disturbance pre-compensation: A vibration-temperature-based GPR model is constructed, and the vibration power spectrum data and temperature data collected in real time by the sound wheel 1 are input into the GPR model to output the predicted disturbance. And the disturbance pre-compensation value is calculated. ; S2-2, Final Current Command of Fourth Drive Unit 4 Real-time acquisition of the rotational speed of the fourth drive unit 4 Initial current command Then obtain the disturbance pre-compensation value in S2-1. And based on that rotational speed Initial current command Disturbance pre-compensation value The final current command of the fourth drive unit 4 is calculated. ; Wherein: the tone wheel 1 is installed on the drive end of the fourth drive unit 4; In S2-1, the disturbance pre-compensation value The calculation formula is: ; in: Indicates the gain scheduling coefficient. Indicates the system control gain; In S2-2, the final current command for the fourth drive unit 4. The calculation formula is: ; in: Indicates rotational speed Initial current command Total disturbance in real-time system The estimated disturbance values ​​below Indicates the system control gain (i.e., the final current command). (Estimated value of the impact of system state changes). Therefore, in S2-1, by introducing vibration power spectrum data and temperature data, the estimation burden of the extended state observer (ESO) can be reduced, making the final current command I more accurate, thereby further improving the accuracy of the required speed sensor measurement.

[0029] Specifically, in S2-1, during the construction phase, under different rotational speeds, temperatures, and artificially applied vibration excitations, the disturbance estimate Z and the corresponding vibration and temperature characteristics are recorded to construct the training set of the GPR model.

[0030] Specifically, in S2-1, during the usage phase, the input features of the GPR model include: the power spectral density obtained by real-time processing of the triaxial acceleration signal acquired in real-time by the triaxial vibration accelerometer 5 (i.e., calculating the energy (power spectral density) of the triaxial acceleration signal within a 1 / 3 octave band (e.g., center frequencies of 16Hz, 20Hz, 25Hz, ...), which can well characterize the vibration intensity at different frequencies) and the temperature value acquired in real-time by the temperature sensor 6. .

[0031] Specifically, in S2-1, the GPR model inputs feature vectors. .

[0032] Specifically, in S2-2, the GPR model is essentially a nonlinear mapping function, and its output predicts perturbations. This indicates the expected torque disturbance or speed deviation under the current vibration and temperature conditions.

[0033] Specifically, It can adjust according to the current operating conditions (e.g., speed range) to optimize the compensation effect.

[0034] Specifically, total system disturbance This includes, but is not limited to, internal dynamics (e.g., friction, resonance) and external disturbances (e.g., load changes).

[0035] Specifically, This is an adjustable parameter.

[0036] Specifically, the tone wheel 1 is mounted on the drive end of the fourth drive unit 4 via the bearing housing 7.

[0037] For example, the fourth drive unit 4 uses a motor.

[0038] In this embodiment, S3 includes the following steps: S3-1. Obtain the standard speed value from the standard speed sensor. The required real-time measured speed value from the speed sensor. ; S3-2. Acquire the vibration power spectrum data and temperature data collected in real time from the sound wheel 1, and acquire the real-time measured rotational speed value from S3-1. The real-time intrinsic speed value was extracted using the FastICA separation method. ; S3-3, Obtain the standard speed value from S3-1 Real-time intrinsic speed values ​​in S3-2 and the standard speed value With real-time intrinsic speed value Comparisons are performed to obtain the required measurement accuracy of the speed sensor. 3-3 includes the following steps: S3-3-1. Steady-state error judgment: If the standard speed value With real-time intrinsic speed value If the absolute value of the difference is greater than the preset value, then execute S3-3-2; otherwise, execute S3-3-3. S3-3-2. The required speed sensor is completely faulty or disconnected. S3-3-3, Health status comparison of the required speed sensor: Obtain the real-time measured speed value of the required speed sensor. The corresponding real-time feature vector (Including but not limited to: steady-state error, signal-to-noise ratio, dynamic response time, frequency response bandwidth), and this real-time feature vector With health baseline feature vector Compare the results to obtain a health index. If the health index If the value is below a preset threshold, a maintenance warning is triggered to perform maintenance on the required speed sensor. Conversely, if the value is above the preset threshold, it indicates that the required speed sensor is in good health. Thus, the S3-2 FastICA separation process isolates external environmental interference (e.g., vibration, temperature) to reflect performance degradation (e.g., decreased core sensitivity, increased circuit noise). This ensures that the final comparison results reflect changes in the performance of the required speed sensor, rather than changes in the external environment, thereby further improving the accuracy of the required speed sensor measurement. In S3-3-3, the health index... It is a comprehensive judgment based on multiple dimensions and trends, which is more scientific and reliable than the judgment method based on only two speed values. In this way, it can further improve the accuracy of the required speed sensor measurement.

[0039] Specifically, in S3-3-3, it is not only about looking at the error of sequential measurements, but also about assessing the overall degradation trend of the required speed sensor.

[0040] Specifically, in S3-3-3, the health index Between 0 and 1.

[0041] In this embodiment, in S2 and S3, the vibration power spectrum data of the tone wheel 1 is acquired in real time by the triaxial vibration acceleration sensor 5, and the temperature data of the tone wheel 1 is acquired in real time by the temperature sensor 6.

[0042] Specifically, a protective cover 8 is provided on the outside of the tone wheel 1, and a standard speed sensor is installed on the protective cover 8.

[0043] For example, standard speed sensors use laser Doppler speed sensors (LDS).

[0044] In this embodiment, a triaxial vibration acceleration sensor 5 is installed on the bearing housing 7, and a temperature sensor 6 is installed on the outer ring of the bearing housing 7.

[0045] In this embodiment, the system also includes: a base 9, a laser rangefinder 2, a first drive unit 301, a fourth drive unit 4, and a protective cover 8, all of which are mounted on the base 9.

[0046] In this embodiment, the system also includes: a controller 10, a wireless transmission module 11, and a remote terminal 12. The laser rangefinder 2, the first drive unit 301, the second drive unit 302, the third drive unit 303, the fourth drive unit 4, the triaxial vibration acceleration sensor 5, and the temperature sensor 6 are all connected to the controller 10. The remote terminal 12 is connected to the controller 10 through the wireless transmission module 11.

[0047] In summary, this invention, by adjusting the position of the speed sensor and adjusting the speed of the sounder 1 based on vibration power spectrum data and temperature data, and then comparing the measured data after removing the influence of vibration power spectrum data and temperature data on the measured value, achieves the detection of speed sensor measurement accuracy based on the actual operating conditions of the gas turbine. This meets the speed measurement requirements of gas turbine speed sensors under various stress coupling environments (e.g., vibration and temperature). At the same time, it can adjust the speed of the sounder 1 based on vibration power spectrum data and temperature data and compare the measured value of the speed sensor, thereby improving the accuracy of the measurement based on the gas turbine speed sensor.

[0048] The above description is an explanation of the present invention and not a limitation thereof. The scope of the present invention is defined by the claims. Within the scope of protection of the present invention, any form of modification may be made.

Claims

1. A method for detecting the measurement accuracy of a speed sensor based on a gas turbine, characterized in that, Includes the following steps: S1. Speed ​​sensor installation: Install the speed sensor into the mounting position, and adjust the actual mounting position according to the offset value between the actual mounting position and the standard mounting position until the actual mounting position coincides with the standard mounting position. S2. Adjustment of the rotation speed of the tone wheel (1): Based on the vibration power spectrum data and temperature data collected in real time by the tone wheel (1), the rotation speed of the tone wheel (1) is adjusted so that the actual rotation speed of the tone wheel (1) is the standard rotation speed value. S3. Comparison of speed sensor measurements: Obtain the standard speed value from a standard speed sensor. The required real-time measured speed value from the speed sensor. and the real-time measured speed value Real-time intrinsic rotational speed after removing vibration and temperature effects Then set the standard speed value With real-time intrinsic speed value A comparison is performed to obtain the required measurement accuracy of the speed sensor.

2. The method for detecting the measurement accuracy of a gas turbine-based speed sensor as described in claim 1, characterized in that: S1 includes the following steps: S1-1, Setting the standard mounting position parameters: Set the distance between the standard mounting position and the laser rangefinder (2) in the X-axis direction. Spacing in the Y-axis direction Spacing in the X-axis direction ; S1-2, Detection of actual installation position parameters: Real-time acquisition of the distance between the actual installation position and the laser rangefinder (2). ; S1-3. Calculate the projected distance of the actual installation position: Obtain the spacing of S2. And calculate the projected distance between the actual installation position and the laser rangefinder (2) in the X-axis direction. Projected distance in the Y-axis direction Projected distance in the X-axis direction ; S1-4. Adjustment of the actual installation position: Obtain the spacing in S1. ,spacing ,spacing and the projection distance in S2 Projection distance Projection distance To calculate the difference in the X-axis direction. Y-axis direction difference The difference in the Z-axis direction The drive mechanism (3) operates based on this difference. , , The actual installation position is adjusted so that it coincides with the standard installation position; Where: In S1-4, the difference in the X-axis direction The calculation formula is: ； Y-axis direction difference The calculation formula is: ； Z-axis direction difference The calculation formula is: 。 3. The method for detecting the measurement accuracy of a gas turbine-based speed sensor as described in claim 2, characterized in that: In S1-4, the drive mechanism (3) includes: The system comprises a first drive unit (301), a second drive unit (302), a third drive unit (303), and a mounting unit (304). The drive end of the first drive unit (301) is connected to the second drive unit (302), the drive end of the second drive unit (302) is connected to the third drive unit (303), and the drive end of the third drive unit (303) is connected to the mounting unit (304). Wherein: the first driving unit (301) is used to drive the mounting unit (304) to move along the Y-axis direction, the second driving unit (302) is used to drive the mounting unit (304) to move along the Z-axis direction, and the third driving unit (303) is used to drive the mounting unit (304) to move along the X-axis direction.

4. The method for detecting the measurement accuracy of a gas turbine-based speed sensor as described in claim 2, characterized in that: In S1-4, there are two drive mechanisms (3), which are arranged opposite to each other about the tone wheel (1) along the X-axis direction.

5. The method for detecting the measurement accuracy of a gas turbine-based speed sensor as described in claim 1, characterized in that: S2 includes the following steps: S2-1, Disturbance estimate Disturbance pre-compensation: Construct a vibration-temperature-based GPR model, and input the vibration power spectrum data and temperature data collected in real time by the sound wheel (1) into the GPR model to output the predicted disturbance. And the disturbance pre-compensation value is calculated. ; S2-2, Final Current Command of the Fourth Drive Unit (4) : Real-time acquisition of the rotational speed of the fourth drive unit (4) Initial current command Then obtain the disturbance pre-compensation value in S2-1. And based on that rotational speed Initial current command Disturbance pre-compensation value The final current command of the fourth drive unit (4) is calculated. ; Wherein: the sound wheel (1) is installed on the drive end of the fourth drive unit (4).

6. The method for detecting the measurement accuracy of a gas turbine-based speed sensor as described in claim 5, characterized in that: In S2-1, the disturbance pre-compensation value The calculation formula is: ； in: Indicates the gain scheduling coefficient. This indicates the system control gain.

7. The method for detecting the measurement accuracy of a gas turbine-based speed sensor as described in claim 6, characterized in that: In S2-2, the fourth drive unit (4) finally commands the current. The calculation formula is: ； in: Indicates rotational speed Initial current command Total disturbance in real-time system The estimated disturbance values ​​below This indicates the system control gain.

8. The method for detecting the measurement accuracy of a gas turbine-based speed sensor as described in claim 1, characterized in that: S3 includes the following steps: S3-1. Obtain the standard speed value from the standard speed sensor. The required real-time measured speed value from the speed sensor. ; S3-2. Obtain the vibration power spectrum data and temperature data collected in real time by the sound wheel (1), and obtain the real-time measured rotational speed value in S3-1. The real-time intrinsic speed value was extracted using the FastICA separation method. ; S3-3, Obtain the standard speed value from S3-1 Real-time intrinsic speed values ​​in S3-2 and the standard speed value With real-time intrinsic speed value A comparison is performed to obtain the required measurement accuracy of the speed sensor.

9. The method for detecting the measurement accuracy of a gas turbine-based speed sensor as described in claim 8, characterized in that: The 3-3 includes the following steps: S3-3-1. Steady-state error judgment: If the standard speed value With real-time intrinsic speed value If the absolute value of the difference is greater than the preset value, then execute S3-3-2; otherwise, execute S3-3-3. S3-3-2, The required speed sensor is completely faulty or disconnected; S3-3-3, Health status comparison of the required speed sensor: Obtain the real-time measured speed value of the required speed sensor. The corresponding real-time feature vector and the real-time feature vector With health baseline feature vector Compare the results to obtain a health index. If the health index If the value is below a preset threshold, a maintenance warning is triggered to perform maintenance on the speed sensor to be measured; otherwise, it indicates that the speed sensor to be measured is in good health.

10. The method for detecting the measurement accuracy of a speed sensor based on a gas turbine as described in claim 1, characterized in that: In S2 and S3, the vibration power spectrum data of the tone wheel (1) is acquired in real time by a triaxial vibration acceleration sensor (5), and the temperature data of the tone wheel (1) is acquired in real time by a temperature sensor (6).

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