Offshore wind turbine transformer cooling system fault detection device

Abstract

The application discloses a kind of offshore wind turbine transformer heat dissipation system fault detection device, including sensor module, data acquisition module, fault detection module, alarm module and communication module, sensor module is used to obtain the internal operating parameter and external environmental parameter of transformer heat dissipation system, data acquisition module is handled after the data collected by sensor module is input fault detection module, fault detection module detects the fault of the heat dissipation system of transformer, and the result of detection is input to alarm module, and the abnormality of heat dissipation system operation is alarmed;The entire fault detection device is also provided with communication module, and the information transmission of heat dissipation system operating state is carried out;The device has remote monitoring, abnormal alarm and self-protection functions, etc., when external environmental parameter and internal operating parameter are abnormal, notify operation and maintenance personnel to carry out corresponding fault elimination according to different faults, can effectively protect transformer heat dissipation system, prolong its service life, reduce maintenance frequency.

Description

A fault detection device for the heat dissipation system of an offshore wind turbine transformer Technical Field

[0001] This invention relates to the field of offshore wind power, and more particularly to a fault detection device for the heat dissipation system of an offshore wind turbine transformer. Background Technology

[0002] Offshore wind turbines are installed in near-shore waters, making maintenance difficult and extremely costly. Therefore, the design of offshore wind turbine transformers should fully consider their maintainability. The transformer cooling system is one of the key auxiliary systems of offshore wind turbines and is an important guarantee for ensuring the safe and stable operation of the unit.

[0003] Offshore wind turbines operate in harsh marine environments characterized by high salt spray and high humidity. Salt spray refers to atmospheric chlorides such as sodium chloride, where chloride ions penetrate the oxide layer on metal surfaces, causing electrochemical reactions that corrode mechanical and electronic components within the turbine. Nearshore wind farms in Jiangsu province are also susceptible to smoke from straw burning and coastal willow catkins, which directly clog the air inlets and radiator grilles of the offshore wind turbine transformers, leading to reduced power output or even shutdown of the turbines and significant power generation losses. Currently, invention CN202023152453.6 proposes a heat dissipation protection device for wind turbine inverters. This invention solves the problems of excessively high internal tower temperatures during summer strong winds, continuous temperature increases in the turbine inverter due to willow catkin blockage of the tower's radiator fins, and the technical issues of wind turbine inverters being affected by cold air in winter, causing rapid temperature drops near the tower doors and resulting in turbine shutdowns.

[0004] Failures in the cooling systems of offshore wind turbine transformers are typically caused by poor ventilation, reduced airflow, and corrosion damage, preventing the coolant from effectively cooling the transformer. Therefore, the normal operation of offshore wind turbine transformers requires a cooling system fault detection device to detect various factors affecting the normal operation of the transformer's cooling system, thus protecting the safe and stable operation of the offshore wind turbine transformers. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this application proposes a fault detection device for the heat dissipation system of offshore wind turbine transformers, which is applicable to the detection and protection of the heat dissipation system of offshore wind turbine transformers.

[0006] This device is used in offshore wind turbine towers and, through a sensor module, can monitor external environmental parameters of the offshore wind turbine transformer cooling system, including smoke. ,humidity Salt spray airflow and internal operating parameters of the cooling system, including coolant temperature pH value of coolant Coolant flow rate The device detects parameters such as [list of parameters]. The detected signals are processed by a chip for heat dissipation system fault detection, allowing maintenance personnel to monitor the transformer's heat dissipation system's operating status in real time. This device features remote monitoring, abnormal alarms, and self-protection functions. When external environmental parameters or internal operating parameters become abnormal, it notifies maintenance personnel via remote communication to address the corresponding faults. This device effectively protects the transformer's heat dissipation system, extends its service life, and reduces maintenance frequency.

[0007] The technical solution adopted in this invention is as follows:

[0008] A fault detection device for the heat dissipation system of an offshore wind turbine transformer, comprising,

[0009] The sensor module is installed at the external ventilation opening and the internal cooling pipe of the transformer heat dissipation system; the sensor module installed at the external ventilation opening is used to acquire the external environmental parameters of the transformer heat dissipation system, and the sensor module installed in the internal cooling pipe is used to acquire the internal operating parameters of the transformer heat dissipation system.

[0010] The data acquisition module has its input signal connected to the sensor module to receive data acquired by the sensor, and its output is connected to the fault detection module.

[0011] The fault detection module is signal-connected to the data acquisition module and performs fault detection on the transformer's heat dissipation system based on the data acquired by the data acquisition module.

[0012] An alarm module, which is signal-connected to the fault detection module, is used to issue an alarm for abnormal operation of the heat dissipation system;

[0013] The communication module is connected to the fault detection module and is used to transmit information about the operating status of the heat dissipation system.

[0014] Furthermore, the sensor module includes a smoke concentration sensor, a humidity sensor, a salt spray concentration sensor, an air flow sensor, a coolant temperature sensor, a coolant pH sensor, and a coolant flow sensor. The smoke concentration sensor, humidity sensor, salt spray concentration sensor, and air flow sensor are installed at the external vents of the heat dissipation system to detect external environmental parameters; the coolant temperature sensor, coolant pH sensor, and coolant flow sensor are all installed at the cooling pipes inside the heat dissipation system to detect internal operating parameters.

[0015] Furthermore, the data acquisition module processes the acquired data as follows:

[0016] Data reconstruction: Remove useless character identifiers from the raw information collected by the sensor, and retain only the collection time and parameter values;

[0017] Data comparison: This involves comparing the measured parameter values ​​in real time. With set limits Find the difference, and record the absolute value of the difference. , with difference The corresponding value that replaces the parameter measurement;

[0018] Batch encapsulation: The batch data format encapsulation is adopted to alleviate the communication pressure of submarine cables. Three sets of continuous sampling data of the same parameter are encapsulated and packaged according to the format agreed with the receiving end, and then transmitted through the communication module.

[0019] Furthermore, the workflow of the fault detection module is as follows:

[0020] S1. Select the appropriate sampling period for different detection parameters;

[0021] S2. Set corresponding limits for different detection parameters, compare the actual detection value with the limit value, and then determine whether there is any abnormality in the detection parameter;

[0022] S3. Environmental parameters and operational parameters are detected separately and independently. If any parameter is detected as abnormal, it indicates that the cooling system is malfunctioning.

[0023] Furthermore, the standard for setting the limits of the detection parameters is: obtaining the average value of multiple measurements over a historical period when the offshore wind turbine is operating under stable conditions. Furthermore, in the absence of baseline values ​​and specific equipment usage standards, a self-made standard is used to determine the parameter limits. Using the parameter acceptance value after the cooling system installation as a benchmark, operating data is recorded for a period of time. Parameter values ​​exhibiting abnormal conditions are used as alarm values. Multiple abnormal conditions are recorded, and the minimum alarm value is used as the parameter limit for determining whether the system is in a stable operating condition.

[0024] Furthermore, the alarm module uses a buzzer and a status indicator light for alarm operation.

[0025] Furthermore, when the parameters do not exceed the limit, the status indicator light of the heat dissipation system will turn green, indicating that the working status is normal.

[0026] When the fault detection module detects that a single parameter exceeds the limit, it indicates the uncertainty of the sensor's detected parameter by simply displaying a flashing green light on the status indicator. It then performs delayed sampling on the relevant parameter. The status indicator changes from flashing green to continuous green only when the detected parameter returns to the normal operating range. If the detected parameter is still abnormal after the delayed sampling, the fan operation is suspended and the fan needs to be troubleshooted.

[0027] When the fault detection module detects that two or more parameters exceed the limit, the fault detection device diagnoses the heat dissipation system to determine whether the fault is external or internal, triggers the buzzer of the alarm module to work and the status indicator light to turn red, and then carries out equipment maintenance work.

[0028] Furthermore, the remote communication module aggregates the data information from the fault detection module to the offshore booster station via optical fibers laid in the submarine cable, and then transmits it to the onshore control center via optical fibers. Maintenance personnel can monitor the working status of the offshore wind turbine transformer heat dissipation system in real time through the host computer.

[0029] Furthermore, the data acquisition module, fault detection module, alarm module, and communication module all utilize the TMS320F28004X chip. The beneficial effects of this invention are:

[0030] 1. The fault detection device for the cooling system of offshore wind turbine transformers designed in this invention is specifically designed for the marine environment to detect environmental parameters such as smoke, humidity and salt spray, so as to avoid failure and damage to the transformer cooling system caused by external environmental factors.

[0031] 2. The fault detection device for the offshore wind turbine transformer cooling system designed in this invention can effectively detect the operating status of the coolant in the cooling pipes of the transformer cooling system itself, thereby obtaining the real-time working status of the offshore wind turbine transformer cooling system to provide data basis for issuing relevant protection commands to the fault detection module.

[0032] 3. The fault detection device for the offshore wind turbine transformer heat dissipation system involved in this invention can detect the working environment of the transformer heat dissipation system, provide early warning, make management controllable, and ensure its safe and reliable operation.

[0033] 4. The fault detection device for the cooling system of offshore wind turbine transformer involved in this invention can improve the service life of the cooling system, reduce the number of maintenance times, and ensure the safe and stable operation of offshore wind turbine transformer. Attached Figure Description

[0034] Figure 1 is a schematic diagram of the ventilation openings of the cooling system for offshore wind turbines and transformers.

[0035] Figure 2 is a schematic diagram of the heat dissipation system of the offshore wind turbine transformer;

[0036] Figure 3 is a schematic diagram of the fault detection device for the heat dissipation system of offshore wind turbine transformers.

[0037] Figure 4 is a flowchart of data processing for fault detection in the heat dissipation system of offshore wind turbine transformers.

[0038] Figure 5 is a flowchart of the fault detection device for the heat dissipation system of offshore wind turbine transformers.

[0039] In Figure 1, 1. Fan blade, 2. Nacelle, 3. Tower, 4. Transformer cooling system vent, 5. Sea level, 6. Seabed erosion protection, 7. Pile foundation, 8. Submarine cable, 9. Transformer core, 10. Coil, 11. Coolant, 12. Oil pump, 13. Oil tank, 14. Fan. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention.

[0041] Referring to the schematic diagram of the ventilation openings of the offshore wind turbine and transformer cooling system shown in Figure 1, the offshore wind turbine includes blades 1, nacelle 2, tower 3, etc.; the offshore wind turbine is installed via pile foundation 7 and has an internal submarine cable 8, with seabed erosion protection 6 installed at the bottom. The ventilation openings 4 of the transformer cooling system are located above sea level 5; referring to the schematic diagram of the offshore wind turbine transformer cooling system structure shown in Figure 2, the offshore wind turbine transformer cooling system includes transformer core 9 and external coils 10, coolant 11, oil pump 12, oil conservator 13, fan 14, etc.

[0042] Figure 3 shows a fault detection device for the cooling system of an offshore wind turbine transformer. It includes multiple units such as a sensor module, a data acquisition module, an alarm module, a communication module, and a fault detection module. Its detection parameters and working principle are as follows:

[0043] The detection and protection scheme for the offshore wind turbine transformer cooling system involves placing sensors at the ventilation openings and cooling pipes of the cooling system (the sensor installation positions are shown at S1 in Figure 1 and S2 in Figure 2, respectively) to detect both the cooling system itself and its surrounding environment. Furthermore, the fault detection device designed in this application can also remotely monitor and autonomously protect the transformer cooling system. To achieve safety protection, when the fault detection device detects a fault in the cooling system that requires manual intervention to restore normal operation, it will stop the operation of the offshore wind turbine.

[0044] The sensor module includes sensors for external environmental parameters and sensors for internal operating parameters.

[0045] Dust particles and willow catkins, when in contact with the moisture-rich marine atmosphere, can adhere to the filter screen, easily clogging the air inlet of the transformer's cooling system and reducing airflow. Humidity and salt spray are triggers for corrosion of electrical equipment and circuit failures, causing rapid corrosion of metals. Therefore, this invention employs smoke concentration sensors, humidity sensors, salt spray concentration sensors, and airflow sensors installed at the external ventilation openings of the cooling system to detect external factors affecting the operation of the transformer's cooling system.

[0046] The temperature and pH value of the coolant are important indicators of its quality and corrosion resistance; moreover, the flow rate of the coolant determines how quickly the heat dissipation system removes heat from the transformer, reflecting the most important cooling effect in the system. Therefore, for the internal operation monitoring of the heat dissipation system, this invention uses a coolant temperature sensor, a coolant pH value sensor, and a coolant flow sensor installed at the cooling pipes inside the system to detect internal operating factors that indirectly indicate the cooling effect.

[0047] In this implementation case, the data acquisition module relies on the TMS320F28004X chip to process data. Signals collected by the sensors are transmitted via the TMS320F28004X chip's SPI interface to an A / D converter for analog-to-digital conversion, transforming the acquired analog electrical signals into digital data signals for output. These data signals are then transmitted via the communication module to the onshore control center through the offshore booster station. Simultaneously, this data signal also serves as the basis for the fault detection module to diagnose faults in the cooling system.

[0048] The data collected by the sensors deployed in the fault detection device for the cooling system of the transformer of the offshore wind turbine are further processed by the TMS320F28004X chip, as shown in Figure 4.

[0049] 1. Data Reconstruction: Because the relevant parameters of the selected offshore wind turbine cooling system are detected independently during the detection process, they occupy a large amount of chip memory, which can easily reduce the system's data processing speed. The data collected and uploaded by the sensors is a string of characters consisting of text information, including fixed character identifiers, acquisition time, and corresponding parameter measurement values. The data volume is approximately between tens of bytes and thousands of bytes.

[0050]

[0051] Remove useless character identifiers from the original information, retain only the useful collection time and parameter values, and keep the length of the text information within 8 bytes.

[0052]

[0053] 2. Data Comparison: To further enhance the readability of fault-related parameter data for offshore wind turbine cooling systems, reduce the lengthy values ​​of individual parameters, and eliminate the need for manual comparison of real-time measurement data with set limits, the real-time measured parameter values ​​are compared directly. With set limits Find the difference, take its absolute value, and use the difference as the basis for calculation. The corresponding value that replaces the parameter measurement.

[0054]

[0055]

[0056] 3. Batch Packaging: Frequent data transmission keeps submarine cable communication under constant pressure, leading to reduced communication speed, data accumulation, and transmission delays, thus hindering timely detection of operational faults in offshore wind turbine transformer cooling systems. Therefore, this invention employs batch data format packaging to alleviate the communication pressure on submarine cables. Three sets of continuous sampled data for the same parameter are packaged according to a format agreed upon with the receiving end and then transmitted through the communication module.

[0057] in superscript This is represented as the sampling time. The sampling periods for different types of sensors are shown in Table 1.

[0058] Data from the cooling system of the offshore wind turbine transformer is used for remote monitoring via a communication module on the fault detection device. The data transmission process is as follows:

[0059] The data acquisition module collects on-site parameter information of the transformer heat dissipation system, which is then aggregated to the offshore wind farm's booster station via cables and optical fibers laid on the seabed. The booster station then packages the data from the entire wind farm and transmits it to the onshore control center via optical fiber. The device's communication module effectively achieves real-time and stable information transmission, enabling relevant personnel to monitor the working status of the offshore wind turbine transformer heat dissipation system in real time via a host computer and take relevant maintenance measures, including: starting the exhaust fan, starting the dehumidifier fan, manually cleaning the dust screen, manually replacing the coolant, and manually cleaning the cooling pipes.

[0060] The specific workflow of the fault detection module is shown in Figure 5. (Parameters in Figure 5) This refers to the first environment or runtime parameter that reaches its set limit. This refers to the second environmental or runtime parameter that has reached its set limit.

[0061] 1. Selecting the Sampling Period. Considering both data storage requirements and the integrity of signal description, setting an appropriate sampling interval is crucial for extracting data information features. A sampling frequency that is too high places high demands on the data processing and storage capabilities of the TMS320F28004X chip; a sampling frequency that is too low will fail to accurately and promptly detect parameter anomalies. Therefore, after comprehensive consideration, this example sets the sensor sampling period and delay sampling time to match the characteristics of parameter changes for different parameters, as shown in the table below.

[0062] Table 1. Parameter Sampling Period and Delay Sampling Time Settings

[0063]

[0064] 2. Set parameter limits. During operation, the transformer requires a cooling system to absorb heat and ensure stable operation at low temperatures. Specific limits are set for the aforementioned monitoring parameters to allow for remedial action or immediate shutdown if any parameter exceeds a dangerous threshold.

[0065] (1) The limit is set relative to the baseline value, which is a representative and repeatable normal value of the offshore wind turbine when it is running under stable conditions. It is obtained by the average value of multiple measurements of the wind turbine transformer during its normal operation history.

[0066] (2) In the absence of baseline values ​​and specific equipment usage standards, self-made standards can be used to determine parameter limits. The specific process is as follows: Based on the parameter acceptance values ​​after the installation of the heat dissipation system, record the operating data for a period of time, take the parameter values ​​when abnormal conditions occur as alarm values, record multiple abnormal conditions, and take the minimum alarm value as the parameter limit for whether the system is in a stable operating state. .

[0067] Taking humidity setting limits as an example, according to GB / T18451.1, relative humidity below 95%RH can be used as a condition for normal operation of fan equipment. If it is too high, it will cause transformer and heat dissipation system failure. Therefore, the humidity limit in this example is set to 95%RH. If the limit is exceeded, it will attract the attention of the fault detection device.

[0068] 3. Environmental parameters and operational parameters are detected independently and are not related to each other. If any parameter is detected as abnormal, it indicates a malfunction in the cooling system. The following description uses environmental parameters as an example to illustrate the specific fault detection process, implemented using the TMS320F28004X chip. The detection process for operational parameters is similar.

[0069] (1) Let the detection parameter value be ,in Indicated as parameter type, Represents environmental parameters. Represents runtime parameters. Indicates the type of parameter. (Parameters in flowchart 5) This refers to the first environment or runtime parameter that reaches its set limit. This refers to the second environmental or runtime parameter that has reached its set limit.

[0070] The specific measured values ​​for smoke concentration, humidity, salt spray concentration, airflow, coolant temperature, coolant pH, and coolant flow rate in this example can be expressed as follows:

[0071]

[0072] (2) When the difference between all environmental parameters and the pre-set limits in the chip If the value is less than 0, the fault detection module diagnoses the cooling system's operating status as normal under this scenario. At the same time, the status indicator light on the fault detection device, which displays the operating status of the cooling system, remains constantly green, indicating that the parameters are normal.

[0073] (3) When any environmental parameter differs from the set limit value When the value reaches 0, considering the possibility of sensor measurement errors, and taking into account the characteristics of different types of parameter changes, a delayed sampling time is set to allow the sensor to perform delayed detection. This avoids the occurrence of accidental situations that could lead to measurement errors. During this period, the green light of the status indicator light changes from solid to flashing to indicate a reminder.

[0074] After a delay, the system will be tested again. If the parameters return to normal, the indicator light will change from flashing to solid green, indicating that the cooling system is operating normally and stably.

[0075] If the parameters are still abnormal after a delay, the wind turbine production will be shut down and the onshore control center will be notified to dispatch maintenance personnel to manually investigate the potential hazards.

[0076] (4) When two of the environmental parameters reach their respective preset limits, the status indicator light turns red and the buzzer sounds an alarm, indicating that the detected parameters are abnormal, the operation of the heat dissipation system is detected to be faulty, and the dehumidifying fan and exhaust fan inside the fan tower are controlled online to dehumidify and exhaust or to notify the onshore staff to come and perform maintenance.

[0077] The above control methods can all achieve fault diagnosis by setting limits for smoke concentration, humidity, salt spray concentration, air flow, coolant temperature, coolant pH value, and coolant flow rate in the chip.

[0078] The above embodiments are only used to illustrate the design concept and features of the present invention, and their purpose is to enable those skilled in the art to understand the content of the present invention and implement it accordingly. The protection scope of the present invention is not limited to the above embodiments. Therefore, all equivalent changes or modifications made based on the principles and design ideas disclosed in the present invention are within the protection scope of the present invention.

Claims

1. A fault detection device for the heat dissipation system of an offshore wind turbine transformer, characterized in that, This includes a sensor module, which is installed at the external ventilation opening and the internal cooling pipe of the transformer heat dissipation system; the sensor module installed at the external ventilation opening is used to acquire external environmental parameters of the transformer heat dissipation system, and the sensor module installed at the internal cooling pipe is used to acquire internal operating parameters of the transformer heat dissipation system. The data acquisition module has its input signal connected to the sensor module to receive data acquired by the sensor, and its output connected to the fault detection module. The data acquisition module processes the acquired data as follows: Data reconstruction: Removes useless character identifiers from the original sensor data, retaining only the acquisition time and parameter values, keeping the text information length within 8 bytes; both acquisition time and parameter values ​​are 4 bytes. Data comparison: Compares the real-time measured parameter values... With set limits Find the difference, and record the absolute value of the difference. , with difference Replaces the corresponding value of parameter measurement; reduces the lengthy digits of individual parameter values; Batch encapsulation: This method uses a batch data format to alleviate communication pressure on submarine cables. It encapsulates three consecutive sets of sampled data from the same parameter, packaging them according to a format agreed upon with the receiving end before transmitting them through the communication module; denoted as: in superscript This is represented as the sampling time. This represents the sampling period for different types of sensors; the fault detection module is signal-connected to the data acquisition module and performs fault detection on the transformer's heat dissipation system based on the data acquired by the data acquisition module; the workflow of the fault detection module is as follows: S1, select the corresponding sampling period for different detection parameters; as shown in the table below: S2. Set corresponding limits for different detection parameters, compare the actual detection value with the limit value, and then determine whether the detection parameter is abnormal; S3. Environmental parameters and operational parameters are detected separately and independently. If any parameter is detected as abnormal, it indicates that the operation of the heat dissipation system has failed; Parameter detection process: (1) Let the detection parameter value be ,in Indicated as parameter type, Represents environmental parameters. Represents runtime parameters. Indicates the parameter type; (2) When the difference between all environmental parameters and the pre-set limits in the chip When the value is less than 0, the fault detection module diagnoses the cooling system operation status under this scenario as normal, and the status indicator light on the fault detection device that displays the cooling system operation status remains green, indicating that the parameter is normal; (3) When any environmental parameter has a difference from the set limit value When the value reaches 0, considering the error in sensor measurement, based on the characteristics of the change law of different types of parameters, a delayed sampling time is set to allow the sensor to perform delayed detection, so as to avoid the occurrence of accidental situations that may lead to measurement errors. During this period, the green light of the status indicator light changes from solid to flashing to indicate a reminder; (4) When two of the environmental parameters reach their respective preset limits, the status indicator light turns to red, and the buzzer sounds an alarm, indicating that the detected parameters are abnormal, the operation of the heat dissipation system is detected to be faulty, and the dehumidifying fan and exhaust fan inside the fan tower are controlled online to dehumidify and exhaust or to notify the onshore staff to come for maintenance; Alarm module, the alarm module is connected to the fault detection module for alarming the abnormal operation of the heat dissipation system; Communication module, the communication module is connected to the fault detection module for transmitting information on the operation status of the heat dissipation system.

2. The fault detection device for the cooling system of an offshore wind turbine transformer according to claim 1, characterized in that, The sensor module includes a smoke concentration sensor, a humidity sensor, a salt spray concentration sensor, an air flow sensor, a coolant temperature sensor, a coolant pH sensor, and a coolant flow sensor. The smoke concentration sensor, humidity sensor, salt spray concentration sensor, and air flow sensor are installed at the external vents of the heat dissipation system to detect external environmental parameters. The coolant temperature sensor, coolant pH sensor, and coolant flow sensor are all installed at the cooling pipes inside the heat dissipation system to detect internal operating parameters.

3. The fault detection device for the heat dissipation system of an offshore wind turbine transformer according to claim 1, characterized in that, The standard for setting the limit values ​​of the detection parameters is: obtained by averaging the values ​​of multiple measurements over a historical period when the offshore wind turbine is operating under stable conditions.

4. The fault detection device for the heat dissipation system of an offshore wind turbine transformer according to claim 1, characterized in that, In the absence of baseline values ​​and specific equipment usage standards, a self-made standard is used to determine parameter limits. The parameter acceptance value after the heat dissipation system is installed is used as the benchmark. Operating data is recorded for a period of time, and the parameter values ​​when abnormal situations occur are used as alarm values. Multiple abnormal situations are recorded, and the minimum alarm value is used as the parameter limit for whether the system is in a stable operating state.

5. A fault detection device for the heat dissipation system of an offshore wind turbine transformer according to any one of claims 1-4, characterized in that, The alarm module uses a buzzer and status indicator lights for alarm operation.

6. The fault detection device for the heat dissipation system of an offshore wind turbine transformer according to claim 5, characterized in that, When the parameters do not exceed the limit, the status indicator light of the heat dissipation system will turn green, indicating that the working status is normal. When the fault detection module detects that a single parameter exceeds the limit, it indicates the uncertainty of the sensor detection parameter by simply showing a flashing green light on the status indicator. It also performs delayed sampling on the relevant parameters. The status indicator changes from flashing green to continuous green only when the detected parameter returns to the normal working range. If the detected parameters are still abnormal after delayed sampling, the fan operation will be suspended and the fan will need to be troubleshooted. When the fault detection module detects that two or more parameters exceed the limit, the fault detection device diagnoses the heat dissipation system to determine whether the fault is external or internal, triggers the buzzer of the alarm module to work and the status indicator light to turn red, and then equipment maintenance work is carried out.

7. A fault detection device for a transformer cooling system of an offshore wind turbine according to claim 6, characterized in that, Using a remote communication module, data from the fault detection module is aggregated to the offshore booster station via optical fibers laid in the submarine cable, and then transmitted to the onshore control center via optical fibers. Maintenance personnel can monitor the working status of the offshore wind turbine transformer cooling system in real time through the host computer.

8. A fault detection device for a transformer cooling system of an offshore wind turbine according to claim 6, characterized in that, The data acquisition module, fault detection module, alarm module, and communication module all use the TMS320F28004X chip.

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