Fault monitoring method for deformation of damping bar of bulb tubular hydraulic generator

Abstract

The invention discloses a bulb tubular hydraulic generator damping bar deformation fault monitoring method, and relates to the technical field of generator damping bar monitoring, and the method comprises the steps: installing a pressure induction device in the middle area of the leeside of a damping bar; when the rotor runs, the pressure sensing device acquires stress data and wind speed data of the pressure sensing device and temperature data of the surface of the damping bar in real time; whether the stress data exceed a first preset pressure threshold value or not is judged, if yes, whether the damping bar deforms or not is judged according to the stress data, the wind speed data, the temperature data and a preset temperature-pressure-wind speed fitting curve set, if yes, a damping bar deformation alarm signal is generated, and an alarm device gives an alarm according to the damping bar deformation alarm signal; according to the method, based on a multi-physical-quantity cooperative monitoring mode of a temperature-pressure-wind speed fitting curve, the problems that single temperature monitoring cannot reflect real deformation and non-contact monitoring is low in accuracy are solved, and the accuracy and credibility of damping bar deformation monitoring are improved.

Description

Technical Field

[0001] This invention relates to the field of generator damping bar monitoring technology, specifically, to a fault monitoring method for the deformation of damping bars in a bulb-type axial-flow hydro generator. Background Technology

[0002] For damping bars in hydro-generators, especially large ones, when a large unbalanced current occurs in the generator, due to the low resistance of the damping bar, the unbalanced current usually flows into the damping bar, forming a local loop with the damping ring in the rotor core, thus generating a damping torque. The direction of the damping torque is opposite to the direction of the rotor speed deviation, thereby quickly suppressing oscillations, helping the rotor to return to synchronous operation, and preventing the generator from losing synchronization and stopping or being damaged. However, if the damping bar is used for too long, the continuous action of the damping torque may lead to deformation or even breakage of the damping bar. This situation will cause the damping torque to weaken significantly during generator operation, and the rotor oscillation cannot be effectively suppressed, which may lead to prolonged rotor oscillation or even loss of synchronization. Once synchronization is lost, the generator will switch from synchronous operation to asynchronous operation, outputting a large amount of reactive power to the grid, exacerbating grid voltage fluctuations, and even triggering cascading failures, such as other units losing synchronization or grid collapse. This will cause huge economic losses and also affect the lifespan of the generator. Therefore, real-time, accurate, and reliable monitoring of damping bar deformation is crucial to ensuring the safe and stable operation of hydro-generators.

[0003] Existing technologies typically monitor damping bars using temperature sensors. For example, in a real-time IoT-based damping bar health monitoring system, a temperature sensor can be installed on the damping bar to monitor its temperature and resistance in real time, thus comprehensively determining the deformation status. The drawback of this technology is its low accuracy. The temperature sensor can usually only measure the temperature and resistance of the damping bar, inferring whether deformation has occurred, but it cannot detect whether actual deformation has occurred. Secondly, ultrasonic waves or probes can be used to directly detect broken bars in the damping winding. However, due to the complex internal structure of generators, the results of such non-contact detection methods are often inaccurate. Summary of the Invention

[0004] The purpose of this invention is to provide a fault monitoring method for damped strip deformation of a bulb-type hydro turbine generator, so as to solve the problem of low accuracy of monitoring damped strip deformation by a single temperature measuring element or non-contact detection mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A fault monitoring method for damped strip deformation of a bulb-type axial-flow hydro generator includes the following steps:

[0007] S1: Install a pressure sensing device in the middle area of ​​the leeward side of the damping bar on the rotor;

[0008] S2: When the rotor is running, the pressure sensing device collects its own force data, wind speed data on the surface of the pressure sensing device, and temperature data on the surface of the damping strip in real time.

[0009] S3: Determine whether the force data exceeds the first preset pressure threshold. If not, return to step S2; if yes, proceed to step S4.

[0010] S4: Based on the force data, wind speed data, temperature data, and preset temperature-pressure-wind speed fitting curve set, determine whether the damping strip has deformed. If the damping strip has not deformed, return to step S2. If the damping strip has deformed, proceed to step S5.

[0011] S5: Generate a damping bar deformation alarm signal;

[0012] S6: The alarm device issues a damping bar deformation alarm based on the damping bar deformation alarm signal.

[0013] The principle of the fault monitoring method for damping strip deformation in a bulb-type axial-flow hydro generator of the present invention is as follows: When the generator is working, the rotor rotation drives the damping strip to rotate. When the damping strip does not deform, the pressure sensing device installed in the middle area of ​​its leeward side is mainly subjected to centripetal force. Because the rotor speed is stable, the flow field on the surface of the damping strip is stable, and the force and wind speed data collected by the pressure sensing device will fluctuate within a fixed range. However, when the damping strip deforms, it applies additional pressure to the pressure sensing device. The deformation of the damping strip also causes a change in the flow field on its surface, thereby causing the force and wind speed data to exceed the fixed range. Therefore, in the actual monitoring process… When the detected force data exceeds the first preset pressure threshold, it is considered that the damping strip may be deformed. To determine whether the damping strip has deformed, the system combines a preset temperature-pressure-wind speed fitting curve set to determine whether the force data and wind speed data of the damping strip at the current temperature exceed its fluctuation range, thereby determining whether the damping strip has deformed. When it is determined that the damping strip has deformed, the alarm device issues a corresponding deformation alarm to remind maintenance personnel to deal with the damping strip deformation fault in a timely manner. This invention combines pressure, wind speed and temperature data to jointly monitor the deformation fault of the damping strip during operation, which greatly improves the accuracy and authenticity of the damping strip deformation monitoring results.

[0014] Preferably, before determining whether the force data exceeds the first preset pressure threshold, the method further includes: determining whether the force data exceeds the second preset pressure threshold; if yes, then step S6 is executed; if no, then the step of determining whether the force data exceeds the first preset pressure threshold is executed; the second preset pressure threshold is greater than the first preset pressure threshold; if the damping strip undergoes sudden and severe deformation, causing the pressure sensing device to detect extreme pressure, in order to improve the response speed to extreme working conditions, the system will skip the damping strip deformation judgment procedure and directly generate a damping strip deformation alarm to promptly remind maintenance personnel.

[0015] Preferably, before determining whether the damping strip has deformed based on the force data, wind speed data, temperature data, and a preset temperature-pressure-wind speed fitting curve set, the method further includes: determining whether the wind speed data exceeds a preset wind speed threshold. If yes, then step S6 is executed; otherwise, the step of determining whether the damping strip has deformed based on the force data, wind speed data, temperature data, and a preset temperature-pressure-wind speed fitting curve set is executed. Sudden and severe deformation of the damping strip can cause turbulence in its surface flow field and sudden and drastic changes in wind speed data. To further improve the timeliness of deformation monitoring under extreme conditions, the system may also skip the deformation judgment procedure and directly generate a deformation alarm.

[0016] Preferably, to enable the pressure sensing device to simultaneously collect force data, wind speed data, and temperature data, and to transmit the collected data to the main control device in a timely manner, the pressure sensing device includes: a pressure sensor, a temperature sensor, a wind speed sensor, a wireless communication unit, and a control unit; the pressure sensor is used to collect the force data, the temperature sensor is used to collect the temperature data, and the wind speed sensor is used to collect the wind speed data; the wireless communication unit is used to transmit the force data, the temperature data, and the wind speed data to the main control device, and to receive working instructions sent by the main control device; the control unit is used to control the operation of the pressure sensor, the temperature sensor, and the wind speed sensor according to the working instructions; the main control device is used to determine whether the damping strip has deformed based on the force data, the temperature data, the wind speed data, the first preset pressure threshold, the second preset pressure threshold, the preset wind speed threshold, and the preset temperature-pressure-wind speed fitting curve set; if the damping strip is determined to be deformed, a damping strip deformation alarm signal is generated; the main control device is integrated into the control system in the generator room control room.

[0017] Preferably, in order to provide unified benchmark reference data for the damping strip deformation judgment process and overcome the problem of insufficient deformation monitoring accuracy caused by a single threshold judgment, the method for obtaining the preset temperature-pressure-wind speed fitting curve set includes:

[0018] The real-time force data of the pressure sensor and the real-time wind speed data of the wind speed sensor were collected when the damping strip was operating normally at different temperatures.

[0019] The real-time force data and real-time wind speed data collected at the same temperature are time-aligned and noise-reduced to obtain the first force data and first wind speed data corresponding to each different temperature.

[0020] At the same temperature, the first force data is used as the dependent variable and the first wind speed data is used as the independent variable to fit the pressure-wind speed fitting curve.

[0021] The set of pressure-wind speed fitting curves corresponding to different temperatures constitutes the preset temperature-pressure-wind speed fitting curve set.

[0022] Preferably, to quantitatively describe the pressure-wind speed coupling relationship, at the same temperature, the expression for the pressure-wind speed fitting curve is:

[0023] ;

[0024] In the formula, y is the first force data, x is the first wind speed data, A is the pressure amplitude coefficient, μ is the value of the first wind speed data x when the first force data y reaches its peak under stable wind speed conditions and the damping strip does not deform, and σ is the temperature influence coefficient. When the damping strip does not deform under normal operating conditions, the flow field on its surface is in a dynamic equilibrium state, and the force data collected by the pressure sensing device fluctuates around a certain reference value, and its probability distribution approximately conforms to a Gaussian distribution.

[0025] Preferably, the method for determining whether the damping strip has deformed includes:

[0026] The wind speed data and the force data are time-aligned and noise-reduced to obtain second wind speed data and second force data.

[0027] Using the second wind speed data as the horizontal axis and the second force data as the vertical axis, construct the pressure-wind speed coordinate points corresponding to each sampling moment;

[0028] Within the preset set of temperature-pressure-wind speed fitting curves, select the pressure-wind speed fitting curve corresponding to the temperature data;

[0029] If the proportion of pressure-wind speed coordinate points located above the pressure-wind speed fitting curve within the preset time window is greater than the preset safety threshold, then the damping strip is determined to have deformed; otherwise, the damping strip is determined not to have deformed. Data from a single sampling point may lead to misjudgment due to data fluctuations. By setting a time window and using the statistical proportion of multiple sampling points to determine deformation, the accuracy of deformation monitoring results can be improved.

[0030] Preferably, the generation of the damping strip deformation alarm signal specifically includes: if the force data exceeds a second preset pressure threshold or the wind speed data exceeds a preset wind speed threshold, a first deformation alarm signal is generated; otherwise, a non-parametric distribution fit goodness-of-fit test method is used to calculate the distribution fit P value of the corresponding pressure-wind speed coordinate points within a preset time window. If the distribution fit P value is greater than a preset significance level, it is determined that the damping strip has undergone continuous deformation, and a second deformation alarm signal is generated; otherwise, it is determined that the damping strip has undergone intermittent vibration deformation, and a third deformation alarm signal is generated. By constructing a graded alarm signal generation mechanism, the system can directly alarm when extreme working conditions are detected, avoiding redundant judgment procedures that delay the alarm timing. Under normal deformation working conditions, the specific deformation type of the damping strip is further subdivided to assist maintenance personnel in selecting different maintenance strategies according to different deformation types, thus solving the technical problem that existing technologies cannot easily determine the deformation type of the damping strip.

[0031] Preferably, the alarm device issues a damped bar deformation alarm based on the damped bar deformation alarm signal, specifically including:

[0032] If the damping bar deformation alarm signal is the first deformation alarm signal, then the alarm device issues the first deformation alarm.

[0033] If the damping bar deformation alarm signal is the second deformation alarm signal, the alarm device will issue a second deformation alarm.

[0034] If the damping strip deformation alarm signal is the third deformation alarm signal, then the alarm device will issue a third deformation alarm.

[0035] The first deformation alarm has a higher urgency level than the second deformation alarm, and the second deformation alarm has a higher urgency level than the third deformation alarm. The alarm device issues graded deformation alarms based on the graded deformation alarm signals, issuing more urgent deformation alarms for more dangerous deformation types to remind maintenance personnel to handle dangerous deformation faults as soon as possible, while improving the interpretability of deformation alarms.

[0036] Preferably, the wind speed sensor is integrated and installed on the opposite side of the pressure sensing device that contacts the damping strip; installing the wind speed sensor on the top of the pressure sensing device relative to the damping strip can reduce the impact of turbulence between the damping strip and the pressure sensing device on the accuracy of the collected wind speed data.

[0037] One or more technical solutions provided by this invention have at least the following technical effects or advantages:

[0038] 1. A multi-physical quantity collaborative monitoring method of contact-based acquisition of pressure, wind speed, and temperature is adopted, overcoming the problems that single temperature monitoring cannot reflect the true deformation and the low accuracy of non-contact monitoring technology. By constructing a set of temperature-pressure-wind speed fitting curves, the coupling relationship between pressure and wind speed at different temperatures is quantified, and a reference benchmark is provided for judging the deformation of damping strips. The statistical law of pressure-wind speed coordinate point distribution is combined to judge whether the damping strip is deformed and the type of deformation, which improves the accuracy and reliability of the damping strip deformation monitoring results and breaks through the limitation of existing technologies in judging the type of deformation.

[0039] 2. By setting pressure and wind speed thresholds under extreme working conditions, an alarm is directly triggered when the detected force or wind speed data exceeds the extreme working condition threshold, thereby improving the timeliness of alarms and the comprehensiveness of monitoring for sudden severe deformation of damping strips.

[0040] 3. By presenting different types of damping bar deformation and their urgency through a tiered alarm mechanism, the system provides guidance for maintenance personnel to understand the deformation of the damping bars and formulate different maintenance strategies, thereby improving the efficiency and pertinence of handling damping bar faults. Attached Figure Description

[0041] The accompanying drawings, which are provided to further illustrate embodiments of the invention and constitute a part of this invention, are not intended to limit the scope of the invention.

[0042] Figure 1 This is a schematic diagram of the installation position of the pressure sensing device in this invention;

[0043] Figure 2 This is a flowchart illustrating a fault monitoring method for damped strip deformation of a bulb-type axial-flow hydro generator according to the present invention.

[0044] Figure 3 This is a pressure-wind speed fitting curve at a temperature of 120℃;

[0045] Figure 4 This is a pressure-wind speed fitting curve at a temperature of 200℃;

[0046] Figure 5 This is a pressure-wind speed fitting curve at a temperature of 280℃;

[0047] Among them, 1-damping strip, 2-easily deformable area on the leeward side, 3-pressure-temperature sensor body, 4-wind speed sensor, 5-fixing material;

[0048] Wherein, P1 is the first preset pressure threshold, and P2 is the second preset pressure threshold. Figure 3-5 The blue vertical stripe area above the fitted curve represents the coordinate points where the damping strip has deformed, while the blank area below the fitted curve represents the coordinate points where the damping strip has not deformed. Detailed Implementation

[0049] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, where there is no conflict, the embodiments of the present invention and the features thereof can be combined with each other.

[0050] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0051] Example 1

[0052] Please refer to Figure 1-5 The present invention provides a fault monitoring method for damped strip deformation of a bulb-type axial-flow hydro generator, comprising the following steps:

[0053] S1: Install a pressure sensing device in the middle of the easily deformable area 2 on the leeward side of the damping bar 1 on the rotor.

[0054] S2: When the rotor is running, the pressure sensing device collects its own force data, wind speed data on the surface of the pressure sensing device, and temperature data on the surface of the damping strip in real time.

[0055] S3: Determine whether the force data exceeds the first preset pressure threshold. If not, return to step S2; if yes, proceed to step S4.

[0056] S4: Based on the force data, wind speed data, temperature data, and preset temperature-pressure-wind speed fitting curve set, determine whether the damping strip has deformed. If the damping strip has not deformed, return to step S2. If the damping strip has deformed, proceed to step S5.

[0057] S5: Generate a damping bar deformation alarm signal;

[0058] S6: The alarm device issues a damping bar deformation alarm based on the damping bar deformation alarm signal.

[0059] The pressure sensing device includes a pressure-temperature sensor body 3 and an air speed sensor 4 fixed to the opposite side of the pressure-temperature sensor body 3, which is in contact with the damping strip. The entire pressure sensing device is fixedly installed in the middle of the easily deformable area 2 on the leeward side of the damping strip 1 by a fixing material 5, which uses butyl tape and epoxy resin DP420. The pressure-temperature sensor body 3 includes a pressure sensor, a temperature sensor, a wireless communication unit, and a control unit. The pressure sensor is a 26PC series pressure sensor used to collect the force data of the pressure sensing device itself. The air speed sensor 4 is an MS4525DO series air speed sensor used to collect the wind speed data on the surface of the pressure sensing device. The temperature sensor is a PT100 platinum resistance temperature sensor used to collect the temperature data on the surface of the damping strip. The wireless communication unit is a CC2530. The ZigBee transmission module transmits force, temperature, and wind speed data collected by various sensors to the main control device in real time, and receives operating commands from the main control device. The control unit uses an STM32F407 microcontroller to control the start and stop of the pressure, temperature, and wind speed sensors 4 according to the operating commands. The main control device is integrated into the existing DCS control system in the generator room control room, eliminating the need for additional independent control equipment. The main control device's data receiving unit communicates with the CC2530 module via a ZigBee coordinator that is compatible with the CC2530 module. ZigBee transmission modules are paired and networked to receive force, temperature, and wind speed data in real time. The main control device determines whether the damping strip has deformed based on the force, temperature, and wind speed data, the first preset pressure threshold, the second preset pressure threshold, the preset wind speed threshold, and the preset temperature-pressure-wind speed fitting curve set. When deformation is detected, a damping strip deformation alarm signal is generated, and the alarm device is controlled to issue the corresponding damping strip deformation alarm. The alarm device can be an integrated sound and light alarm device or a display screen to display the alarm.

[0060] In this process, after receiving the force data, temperature data, and wind speed data, the main control device first uses a moving average filtering algorithm to perform noise reduction filtering on each data. Then, it determines whether 30% of the force data exceeds the second preset pressure threshold, or whether 30% of the wind speed data exceeds the preset wind speed threshold. If at least one of them is true, the main control device directly generates the first deformation alarm signal and controls the alarm device to issue the first deformation alarm. Otherwise, the damping strip deformation judgment procedure is executed starting from step S3.

[0061] The methods for obtaining the preset temperature-pressure-wind speed fitting curve set include:

[0062] The real-time force data of the pressure sensor and the real-time wind speed data of the wind speed sensor 4 were collected when the damping strip was operating normally at different temperatures.

[0063] The real-time force data and real-time wind speed data collected at the same temperature are time-aligned and noise-reduced to obtain the first force data and first wind speed data corresponding to each different temperature.

[0064] At the same temperature, the first force data is used as the dependent variable and the first wind speed data is used as the independent variable to fit the pressure-wind speed fitting curve.

[0065] The set of pressure-wind speed fitting curves corresponding to different temperatures constitutes the preset temperature-pressure-wind speed fitting curve set; Figure 3-5 This is a pressure-wind speed fitting curve obtained when the damping strip in a bulb-type axial-flow turbine generator operates at temperatures of 120℃, 200℃, and 280℃. Figure 3-5 The set of curves constitutes a set of temperature-pressure-wind speed fitting curves for the generator;

[0066] Among them, at the same temperature, the expression for the pressure-wind speed fitting curve is:

[0067] ;

[0068] In the formula, y is the first force data, x is the first wind speed data, A is the pressure amplitude coefficient obtained by fitting, μ is the value of the first wind speed data x when the first force data y reaches its peak under stable wind speed conditions and the damping strip does not deform, and σ is the temperature influence coefficient obtained by fitting.

[0069] The first preset pressure threshold, the second preset pressure threshold, and the preset wind speed threshold are set as follows: the first preset pressure threshold is 1.1 times the average centripetal force experienced by the pressure sensing device when the rotor is rotating stably and the damping strip is not deformed; the second preset pressure threshold is 1.5 times the maximum pressure value corresponding to the damping strip being undeformed in the temperature-pressure-wind speed fitting curve; and the preset wind speed threshold is 1.5 times the average wind speed collected by the pressure sensing device when the rotor is rotating stably and the damping strip is not deformed.

[0070] The methods for determining whether the damping strip has deformed include:

[0071] The wind speed data and force data collected by the pressure sensing device under actual working conditions are time-aligned and noise-reduced to obtain the second wind speed data and the second force data.

[0072] Using the second wind speed data as the horizontal axis and the second force data as the vertical axis, construct the pressure-wind speed coordinate points corresponding to each sampling moment;

[0073] Within the preset set of temperature-pressure-wind speed fitting curves, select the pressure-wind speed fitting curve corresponding to the temperature data;

[0074] If the proportion of pressure-wind speed coordinate points located above the pressure-wind speed fitting curve within the preset time window is greater than the preset safety threshold, it is determined that the damping strip has deformed; otherwise, it is determined that the damping strip has not deformed. The sampling frequency of the pressure sensing device is 10Hz, the preset time window is 5 seconds, and the preset safety threshold is 30%.

[0075] Specifically, generating a damping strip deformation alarm signal includes: if the force data exceeds a second preset pressure threshold or the wind speed data exceeds a preset wind speed threshold, a first deformation alarm signal is generated; otherwise, a nonparametric distribution fit goodness-of-fit test method is used to calculate the distribution fit P value of the corresponding pressure-wind speed coordinate points within a preset time window. If the distribution fit P value is greater than a preset significance level, it is determined that the damping strip has undergone continuous deformation, and a second deformation alarm signal is generated; otherwise, it is determined that the damping strip has undergone intermittent vibration deformation, and a third deformation alarm signal is generated. The nonparametric distribution fit goodness-of-fit test method uses the KS test method, and the preset significance level is 0.05.

[0076] Specifically, the alarm device issues a damped bar deformation alarm based on the damped bar deformation alarm signal, including:

[0077] If the damping bar deformation alarm signal is the first deformation alarm signal, then the alarm device issues the first deformation alarm.

[0078] If the damping bar deformation alarm signal is the second deformation alarm signal, the alarm device will issue a second deformation alarm.

[0079] If the damping strip deformation alarm signal is the third deformation alarm signal, then the alarm device will issue a third deformation alarm.

[0080] In this embodiment, the integrated sound and light alarm device emits a first deformation alarm consisting of a solid red light and a high-frequency buzzer to remind maintenance personnel to immediately take shutdown measures and check whether the damping strip has undergone severe deformation or breakage or other extreme faults. The second deformation alarm consists of a solid yellow light and a medium-frequency buzzer to remind maintenance personnel to develop a shutdown plan and check whether the damping strip has suffered structural damage. The third deformation alarm consists of a flashing blue light and a low-frequency buzzer to remind maintenance personnel to investigate the excitation source of the damping strip's vibration deformation and optimize the rotor's operating conditions.

[0081] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0082] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A fault monitoring method for damped strip deformation of a bulb-type axial-flow hydro generator, characterized in that, Includes the following steps: S1: Install a pressure sensing device in the middle area of ​​the leeward side of the damping bar on the rotor; S2: When the rotor is running, the pressure sensing device collects its own force data, wind speed data on the surface of the pressure sensing device, and temperature data on the surface of the damping strip in real time. S3: Determine whether the force data exceeds the first preset pressure threshold. If not, return to step S2; if yes, proceed to step S4. S4: Based on the force data, wind speed data, temperature data, and preset temperature-pressure-wind speed fitting curve set, determine whether the damping strip has deformed. If the damping strip has not deformed, return to step S2. If the damping strip has deformed, proceed to step S5. S5: Generate a damping bar deformation alarm signal; S6: The alarm device issues a damping bar deformation alarm based on the damping bar deformation alarm signal.

2. The fault monitoring method for damped strip deformation of a bulb-type axial-flow hydro generator according to claim 1, characterized in that, Before determining whether the force data exceeds the first preset pressure threshold, the method further includes: determining whether the force data exceeds the second preset pressure threshold; if yes, then step S6 is executed; if no, then the step of determining whether the force data exceeds the first preset pressure threshold is executed; the second preset pressure threshold is greater than the first preset pressure threshold.

3. The fault monitoring method for damped strip deformation of a bulb-type axial-flow hydro generator according to claim 2, characterized in that, Before determining whether the damping strip has deformed based on the force data, wind speed data, temperature data, and a preset temperature-pressure-wind speed fitting curve set, the method further includes: determining whether the wind speed data exceeds a preset wind speed threshold. If yes, then step S6 is executed; otherwise, the step of determining whether the damping strip has deformed based on the force data, wind speed data, temperature data, and a preset temperature-pressure-wind speed fitting curve set is executed.

4. The fault monitoring method for damping strip deformation of a bulb-type axial-flow hydro generator according to claim 3, characterized in that, The pressure sensing device includes a pressure sensor, a temperature sensor, a wind speed sensor, a wireless communication unit, and a control unit. The pressure sensor is used to collect the force data, the temperature sensor is used to collect the temperature data, and the wind speed sensor is used to collect the wind speed data. The wireless communication unit is used to transmit the force data, temperature data, and wind speed data to the main control unit and to receive working instructions sent by the main control unit. The control unit is used to control the operation of the pressure sensor, the temperature sensor, and the wind speed sensor according to the working instructions. The main control unit is used to determine whether the damping strip has deformed based on the force data, the temperature data, the wind speed data, the first preset pressure threshold, the second preset pressure threshold, the preset wind speed threshold, and the preset temperature-pressure-wind speed fitting curve set. If the damping strip is determined to be deformed, a damping strip deformation alarm signal is generated. The main control unit is integrated into the control system in the generator room control room.

5. The fault monitoring method for damping strip deformation of a bulb-type axial-flow hydro generator according to claim 4, characterized in that, The methods for obtaining the preset temperature-pressure-wind speed fitting curve set include: The real-time force data of the pressure sensor and the real-time wind speed data of the wind speed sensor were collected when the damping strip was operating normally at different temperatures. The real-time force data and real-time wind speed data collected at the same temperature are time-aligned and noise-reduced to obtain the first force data and first wind speed data corresponding to each different temperature. At the same temperature, the first force data is used as the dependent variable and the first wind speed data is used as the independent variable to fit the pressure-wind speed fitting curve. The set of pressure-wind speed fitting curves corresponding to different temperatures constitutes the preset temperature-pressure-wind speed fitting curve set.

6. The fault monitoring method for damping strip deformation of a bulb-type axial-flow hydro generator according to claim 5, characterized in that, At the same temperature, the expression for the pressure-wind speed fitting curve is: ； In the formula, y is the first force data, x is the first wind speed data, A is the pressure amplitude coefficient, μ is the value of the first wind speed data x when the first force data y reaches its peak under stable wind speed conditions and the damping strip has not deformed, and σ is the temperature influence coefficient.

7. The fault monitoring method for damping strip deformation of a bulb-type axial-flow hydro generator according to claim 5, characterized in that, The methods for determining whether the damping strip has deformed include: The wind speed data and the force data are time-aligned and noise-reduced to obtain second wind speed data and second force data. Using the second wind speed data as the horizontal axis and the second force data as the vertical axis, construct the pressure-wind speed coordinate points corresponding to each sampling moment; Within the preset set of temperature-pressure-wind speed fitting curves, select the pressure-wind speed fitting curve corresponding to the temperature data; If the proportion of pressure-wind speed coordinate points located above the pressure-wind speed fitting curve within the preset time window is greater than the preset safety threshold, then the damping strip is determined to have deformed; otherwise, the damping strip is determined not to have deformed.

8. The fault monitoring method for damped strip deformation of a bulb-type axial-flow hydro generator according to claim 7, characterized in that, The generation of the damping strip deformation alarm signal specifically includes: if the force data exceeds a second preset pressure threshold or the wind speed data exceeds a preset wind speed threshold, a first deformation alarm signal is generated; otherwise, a non-parametric distribution fit goodness test method is used to calculate the distribution fit P value of the corresponding pressure-wind speed coordinate points within a preset time window. If the distribution fit P value is greater than a preset significance level, it is determined that the damping strip has undergone continuous deformation, and a second deformation alarm signal is generated; otherwise, it is determined that the damping strip has undergone intermittent vibration deformation, and a third deformation alarm signal is generated.

9. The fault monitoring method for damped strip deformation of a bulb-type axial-flow hydro generator according to claim 8, characterized in that, The alarm device issues a damped bar deformation alarm based on the damped bar deformation alarm signal, specifically including: If the damping bar deformation alarm signal is the first deformation alarm signal, then the alarm device issues the first deformation alarm. If the damping bar deformation alarm signal is the second deformation alarm signal, the alarm device will issue a second deformation alarm. If the damping strip deformation alarm signal is the third deformation alarm signal, then the alarm device will issue a third deformation alarm. The urgency level of the first deformation alarm is greater than that of the second deformation alarm, and the urgency level of the second deformation alarm is greater than that of the third deformation alarm.

10. The fault monitoring method for damping strip deformation of a bulb-type axial-flow hydro generator according to claim 4, characterized in that, The wind speed sensor is integrated and installed on the opposite side of the pressure sensing device that is in contact with the damping strip.

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