Nuclear reactor control rod driving mechanism fault diagnosis method, device, equipment and medium

Abstract

The invention discloses a nuclear reactor control rod driving mechanism fault diagnosis method, device and equipment and a medium, and the method comprises the steps: obtaining a vibration signal and a three-phase current signal of a driving mechanism in a fault state, and carrying out the signal fusion of the vibration signal and the three-phase current signal of the driving mechanism in the fault state, obtaining a first image corresponding to the driving mechanism in the fault state; performing feature extraction on the first image to obtain a first fault feature; acquiring a vibration signal and a three-phase current signal of the target driving mechanism in the running state, and performing signal fusion on the vibration signal and the three-phase current signal of the target driving mechanism to obtain a second image corresponding to the target driving mechanism; performing feature extraction on the second image to obtain a second operation feature; and judging the fault condition of the target driving mechanism according to the second operation feature and the first fault feature. The invention belongs to the field of driving mechanism fault diagnosis. According to the invention, diagnosis of various faults of the driving mechanism can be realized.

Description

Technical Field

[0001] The present invention relates to the field of drive mechanism fault diagnosis, and in particular to a method, device, equipment and medium for diagnosing faults of a control rod drive mechanism of a nuclear reactor. Background Art

[0002] The control rod drive (CRD) of a nuclear reactor is a servo mechanism within the reactor's control and safety systems. It is a crucial operating component and a key element influencing the reactor's normal operation, safety, and reliability. The CRD operates in a complex environment. As the only mechanical component in a nuclear reactor that undergoes relative motion, it directly controls the position of the neutron absorber within the core, requiring high reliability and a long service life. Failure can have serious consequences.

[0003] With the informatization of modern industry, fault diagnosis of control rod drive mechanisms (CRDMs) has attracted significant attention worldwide. To prevent accidents caused by equipment failures in critical mechanical transmission components of CRDMs, the present invention provides a method for diagnosing CRDM faults in nuclear reactors. Summary of the Invention

[0004] The present invention solves the technical problem of difficulty in realizing online fault diagnosis of nuclear reactor control rod drive mechanism in the prior art by providing a method, device, equipment and medium for fault diagnosis of nuclear reactor control rod drive mechanism, and realizes the technical effect of online fault diagnosis of nuclear reactor control rod drive mechanism.

[0005] In a first aspect, the present invention provides a method for diagnosing a fault in a control rod drive mechanism of a nuclear reactor, the method comprising:

[0006] Acquire a vibration signal and a three-phase current signal of the drive mechanism in a fault state, and perform signal fusion on the vibration signal and the three-phase current signal of the drive mechanism in the fault state to obtain a first image corresponding to the drive mechanism in the fault state;

[0007] Performing feature extraction on the first image to obtain a first fault feature;

[0008] Acquire a vibration signal and a three-phase current signal of the target drive mechanism in a running state, and perform signal fusion on the vibration signal and the three-phase current signal of the target drive mechanism to obtain a second image corresponding to the target drive mechanism;

[0009] performing feature extraction on the second image to obtain a second running feature;

[0010] A fault condition of the target drive mechanism is determined based on the second operating characteristic and the first fault characteristic.

[0011] Furthermore, the vibration signal and the three-phase current signal include:

[0012] The vibration signal includes an axial vibration signal or a radial vibration signal;

[0013] The three-phase current signal includes stator A phase current, stator B phase current and stator C phase current.

[0014] Furthermore, the vibration signal and the three-phase current signal of the driving mechanism in the fault state are fused to obtain a first image corresponding to the driving mechanism in the fault state, including:

[0015] Based on the symmetrical point pattern, the axial vibration signal, the stator A phase current, the stator B phase current and the stator C phase current are fused to obtain a first image corresponding to the drive mechanism in the fault state; or

[0016] Based on the symmetrical point pattern, the radial vibration signal, the stator A-phase current, the stator B-phase current, and the stator C-phase current are fused to obtain a first image corresponding to the drive mechanism in the fault state.

[0017] Furthermore, feature extraction is performed on the first image to obtain a first fault feature, including:

[0018] Based on convolution calculation and pooling calculation, feature extraction is performed on the first image to obtain a first fault feature, wherein the first fault feature is a numerical feature.

[0019] Furthermore, judging the fault condition of the target drive mechanism according to the second operating characteristic and the first fault characteristic includes:

[0020] Determining the magnitude of the first fault characteristic and the second operating characteristic;

[0021] If the second operating characteristic is greater than or equal to the first fault characteristic, the target drive mechanism has failed;

[0022] If the second operating characteristic is smaller than the first fault characteristic, the fault probability of the target drive mechanism is determined based on the second operating characteristic and the first fault characteristic.

[0023] Furthermore, if the second operating characteristic is smaller than the first fault characteristic, determining the fault probability of the target drive mechanism according to the second operating characteristic and the first fault characteristic includes:

[0024] The failure probability of the target drive mechanism is determined according to the ratio of the second operating characteristic to the first failure characteristic.

[0025] Furthermore, judging the fault condition of the target drive mechanism according to the second operating characteristic and the first fault characteristic includes:

[0026] determining a ratio of the second operating characteristic to the first fault characteristic based on the first fault characteristic and the second operating characteristic;

[0027] If the ratio is greater than the threshold, the target drive mechanism fails.

[0028] In a second aspect, the present invention provides a fault diagnosis device for a control rod drive mechanism of a nuclear reactor, the device comprising:

[0029] a fault image fusion module, configured to obtain a vibration signal and a three-phase current signal of the drive mechanism in a fault state, and perform signal fusion on the vibration signal and the three-phase current signal of the drive mechanism in the fault state to obtain a first image corresponding to the drive mechanism in the fault state;

[0030] A fault feature extraction module, configured to extract features from the first image to obtain a first fault feature;

[0031] an operating image fusion module, configured to obtain a vibration signal and a three-phase current signal of the target drive mechanism in an operating state, and perform signal fusion on the vibration signal and the three-phase current signal of the target drive mechanism to obtain a second image corresponding to the target drive mechanism;

[0032] An operation feature extraction module is used to extract features from the second image to obtain a second operation feature;

[0033] The judgment module is used to judge the fault condition of the target driving mechanism according to the second operation characteristic and the first fault characteristic.

[0034] In a third aspect, the present invention provides an electronic device, comprising:

[0035] processor;

[0036] a memory for storing processor-executable instructions;

[0037] The processor is configured to execute to implement a method for diagnosing faults of a control rod drive mechanism of a nuclear reactor as provided in the first aspect.

[0038] In a fourth aspect, the present invention provides a non-temporary computer-readable storage medium, which, when the instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to execute a nuclear reactor control rod drive mechanism fault diagnosis method as provided in the first aspect.

[0039] One or more technical solutions provided in the present invention have at least the following technical effects or advantages:

[0040] The present invention achieves an intuitive and efficient description of the operating status of the drive mechanism by fusing multi-source signals (three-phase current and vibration signals) into a unified image representation and extracting their features. Online real-time acquisition and feature extraction support immediate monitoring, and the establishment of an offline fault feature library improves diagnostic accuracy. The fault discrimination method based on feature similarity analysis can effectively identify various fault types such as hook faults, bearing faults, and roller faults. It has good adaptability and practicality, and helps to achieve equipment status monitoring and predictive maintenance. The present invention's drive mechanism fault diagnosis based on multi-signal image processing can determine fault trends. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0042] Figure 1 A schematic flow chart of a method for diagnosing a fault in a control rod drive mechanism of a nuclear reactor provided by the present invention;

[0043] Figure 2 A schematic flow chart of another method for diagnosing faults in a control rod drive mechanism of a nuclear reactor provided by the present invention;

[0044] Figure 3 This is a structural schematic diagram of a nuclear reactor control rod drive mechanism fault diagnosis device provided by the present invention. DETAILED DESCRIPTION

[0045] The embodiment of the present invention solves the technical problem of difficulty in realizing online fault diagnosis of a control rod drive mechanism of a nuclear reactor in the prior art by providing a fault diagnosis method for the control rod drive mechanism of a nuclear reactor.

[0046] The technical solution of the present invention is to solve the above technical problems, and the overall idea is as follows:

[0047] A method for diagnosing faults of a control rod drive mechanism of a nuclear reactor comprises: acquiring a vibration signal and a three-phase current signal of the drive mechanism in a fault state, and fusing the vibration signal and the three-phase current signal of the drive mechanism in the fault state to obtain a first image corresponding to the drive mechanism in the fault state; performing feature extraction on the first image to obtain a first fault feature; acquiring a vibration signal and a three-phase current signal of a target drive mechanism in an operating state, and fusing the vibration signal and the three-phase current signal of the target drive mechanism to obtain a second image corresponding to the target drive mechanism; performing feature extraction on the second image to obtain a second operating feature; and judging the fault condition of the target drive mechanism based on the second operating feature and the first fault feature.

[0048] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0049] First, the term "and / or" as used herein simply describes a relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A alone, A and B together, or B alone. Furthermore, the character " / " in this document generally indicates an "or" relationship between the associated objects.

[0050] The present invention provides Figure 1 A method for diagnosing a fault in a control rod drive mechanism of a nuclear reactor is shown, comprising steps S11-S15:

[0051] Step S11 , obtaining a vibration signal and a three-phase current signal of the driving mechanism in a fault state, and performing signal fusion on the vibration signal and the three-phase current signal of the driving mechanism in the fault state to obtain a first image corresponding to the driving mechanism in the fault state.

[0052] The radial vibration signal or axial vibration signal of the control rod drive mechanism can be collected by a high-temperature accelerometer; the (stator) three-phase current signal of the control rod drive mechanism can be collected by an AC current sensor.

[0053] High-temperature accelerometers are sensors used to measure vibration or acceleration in extreme temperature environments. High-temperature accelerometers operate stably in these conditions and are suitable for monitoring the operating status of critical equipment such as engines, turbines, and control rod drive mechanisms.

[0054] An AC current sensor is a device used to measure the current strength in an alternating current (AC) circuit. It can detect the current flowing through the circuit non-invasively or minimally invasively and convert the measured data into a form that can be further processed, such as a voltage signal or other output signal.

[0055] The vibration signal includes an axial vibration signal or a radial vibration signal. The three-phase current signal includes a stator A-phase current, a stator B-phase current and a stator C-phase current.

[0056] Fusing the vibration signal and the three-phase current signal of the drive mechanism in the fault state to obtain a first image corresponding to the drive mechanism in the fault state includes:

[0057] Based on the symmetrical point pattern, the axial vibration signal, the stator A phase current, the stator B phase current, and the stator C phase current are fused to obtain a first image corresponding to the drive mechanism in the fault state;

[0058] Alternatively, based on the symmetrical point pattern, the radial vibration signal, the stator A phase current, the stator B phase current and the stator C phase current are fused to obtain a first image corresponding to the drive mechanism in the fault state.

[0059] The axial vibration signal, the stator A phase current, the stator B phase current and the stator C phase current, or one of the radial vibration signal, the stator A phase current, the stator B phase current and the stator C phase current can be selected for signal fusion.

[0060] It should be noted that if the vibration signal of the driving mechanism in the fault state selects the radial vibration signal, then the vibration signal of the target driving mechanism in the following text needs to select the radial vibration signal; if the vibration signal of the driving mechanism in the fault state selects the axial vibration signal, then the vibration signal of the target driving mechanism in the following text needs to select the axial vibration signal.

[0061] Symmetric Dot Pattern (SDP) is a method for converting time series data into images, primarily used for signal analysis and pattern recognition. By generating a mirror-symmetrical array of dots in a polar coordinate system, SDP transforms the original signal into an intuitive snowflake image. The SDP method is simple to implement, computationally inexpensive, and robust to noise.

[0062] Step S12: extract features from the first image to obtain a first fault feature.

[0063] Specifically include:

[0064] Based on convolution calculation and pooling calculation, feature extraction is performed on the first image to obtain a first fault feature, wherein the first fault feature is a numerical feature.

[0065] Convolution is one of the core components of convolutional neural networks. Convolution automatically and effectively identifies local features in an image by sliding a learnable filter (or convolution kernel) over the input first image.

[0066] Pooling is typically performed after convolutional layers to reduce the spatial size (width and height) of the data while preserving the essential information. The most common pooling method is max pooling, which reduces the size of the feature map by selecting the maximum value in each region. This helps the model better cope with image translation changes, reduces computational complexity, and prevents overfitting.

[0067] Through the convolution layer and pooling layer, high-level abstract features can be extracted from the input first image. Finally, after processing by the fully connected layer or other types of classification / regression layers, the features will be converted into numerical values, namely the first fault features.

[0068] Step S13 , obtaining a vibration signal and a three-phase current signal of the target drive mechanism in a running state, and performing signal fusion on the vibration signal and the three-phase current signal of the target drive mechanism to obtain a second image corresponding to the target drive mechanism.

[0069] "Step S13" is similar to "Step S11", and the only difference between Step S13 and Step S11 is that Step S11 is used to extract the vibration signal and three-phase current signal of the driving mechanism that has already failed, while Step S11 is used to extract the vibration signal and three-phase current signal of the driving mechanism in the running state (whether the target driving mechanism has failed needs to be determined through Step S15).

[0070] Step S14: extract features from the second image to obtain second running features.

[0071] “Step S14” is similar to “Step S12”. The specific content of “Step S14” can refer to “Step S12” and will not be described here.

[0072] Step S15 : determining the fault condition of the target drive mechanism according to the second operating characteristic and the first fault characteristic.

[0073] The present invention provides methods 1 and 2 for determining the fault condition of the target drive mechanism.

[0074] [Method 1] Determining the fault condition of the target drive mechanism based on the second operating characteristic and the first fault characteristic, including:

[0075] Determine the magnitude of the first fault characteristic and the second operating characteristic; if the second operating characteristic is greater than or equal to the first fault characteristic, the target drive mechanism has failed; if the second operating characteristic is less than the first fault characteristic, determine the failure probability of the target drive mechanism based on the second operating characteristic and the first fault characteristic.

[0076] Since the first fault characteristic and the second operating characteristic are both numerical values, if the second operating characteristic is greater than or equal to the first fault characteristic, it can be determined that a fault has occurred in the target drive mechanism.

[0077] If the second operating characteristic is less than the first fault characteristic, determining the fault probability of the target drive mechanism according to the second operating characteristic and the first fault characteristic includes:

[0078] The failure probability of the target drive mechanism is determined according to the ratio of the second operating characteristic to the first failure characteristic.

[0079] For example, if the second operating characteristic is 9.657 and the first fault characteristic is 10, the ratio of the two is 96.57%, and the probability of the target drive mechanism failing is 96.57%.

[0080] Method 1 can realize the rapid judgment of the fault situation of the target drive mechanism.

[0081] This method is applicable when the faulty drive mechanism and the operating drive mechanism are similar in terms of service life, operating time and other factors.

[0082] If there are certain deviations in other factors such as years of use and operating time, you can refer to method 2.

[0083]

Method 2

[0084] Determining a fault condition of the target drive mechanism according to the second operating characteristic and the first fault characteristic includes:

[0085] determining a ratio of the second operating characteristic to the first fault characteristic based on the first fault characteristic and the second operating characteristic;

[0086] If the ratio is greater than the threshold, the target drive mechanism fails.

[0087] When there is a certain deviation in other factors such as service life and operating time, a threshold value can be set according to the difference in other factors such as service life and operating time. If the ratio is greater than the threshold value, the target drive mechanism fails.

[0088] The second method can improve the accuracy of determining the fault condition of the target drive mechanism.

[0089] Figure 2 Another method for diagnosing faults of a control rod drive mechanism of a nuclear reactor provided by the present invention can be seen to include three parts.

[0090] The first part is to continuously collect the three-phase current and vibration signals of the control rod drive mechanism online at a fixed length, and to draw a graph of the four signals collected during the operation of the drive mechanism. Specifically, the three-phase current signal and the vibration signal are drawn together to form an image, and then the features of the drawn current vibration signal image are extracted to form the operation image features.

[0091] The second part is carried out offline, in which the collected fault current signal and fault vibration signal are plotted together to form an image, and then the features of the drawn current vibration signal image are extracted to form the fault image features.

[0092] The third part is fault identification. This involves comparing and analyzing the operating image features with the fault features. This comparison and analysis uses similarity calculation or other methods. The closer the features, the greater the likelihood of a fault. If the difference exceeds a certain threshold, a fault is considered to have occurred. Targeted faults include drive mechanism hook failure, bearing failure, and roller failure.

[0093] In summary, the present invention provides a method for diagnosing faults in a control rod drive mechanism of a nuclear reactor, the method comprising: obtaining a vibration signal and a three-phase current signal of the drive mechanism in a fault state, and performing signal fusion on the vibration signal and the three-phase current signal of the drive mechanism in the fault state to obtain a first image corresponding to the drive mechanism in the fault state; performing feature extraction on the first image to obtain a first fault feature; obtaining a vibration signal and a three-phase current signal of a target drive mechanism in an operating state, and performing signal fusion on the vibration signal and the three-phase current signal of the target drive mechanism to obtain a second image corresponding to the target drive mechanism; performing feature extraction on the second image to obtain a second operating feature; and judging the fault condition of the target drive mechanism based on the second operating feature and the first fault feature. The present invention achieves an intuitive and efficient description of the operating state of the drive mechanism by fusing multi-source signals (three-phase current and vibration signal) into a unified image representation and extracting its features. Online real-time data collection and feature extraction support immediate monitoring, while the establishment of an offline fault feature library improves diagnostic accuracy. Fault identification methods based on feature similarity analysis can effectively identify various fault types, including hook faults, bearing faults, and roller faults. This method offers excellent adaptability and practicality, facilitating condition monitoring and predictive maintenance for equipment. The present invention's drive mechanism fault diagnosis, based on multi-signal image processing, can identify fault trends.

[0094] Based on the same inventive concept, the present invention provides Figure 3 A nuclear reactor control rod drive mechanism fault diagnosis device is shown, the device comprising:

[0095] a fault image fusion module 31 for acquiring a vibration signal and a three-phase current signal of the drive mechanism in a fault state, and performing signal fusion on the vibration signal and the three-phase current signal of the drive mechanism in the fault state to obtain a first image corresponding to the drive mechanism in the fault state;

[0096] A fault feature extraction module 32 is configured to extract features from the first image to obtain a first fault feature;

[0097] An operating image fusion module 33 is configured to obtain a vibration signal and a three-phase current signal of the target drive mechanism in an operating state, and perform signal fusion on the vibration signal and the three-phase current signal of the target drive mechanism to obtain a second image corresponding to the target drive mechanism;

[0098] An operation feature extraction module 34 is used to extract features from the second image to obtain a second operation feature;

[0099] The judgment module 35 is configured to judge the fault condition of the target driving mechanism according to the second operating characteristic and the first fault characteristic.

[0100] Based on the same inventive concept, the present invention further provides an electronic device, comprising:

[0101] processor;

[0102] a memory for storing processor-executable instructions;

[0103] The processor is configured to execute to implement a nuclear reactor control rod drive mechanism fault diagnosis method as provided above.

[0104] Based on the same inventive concept, the present invention also provides a non-temporary computer-readable storage medium. When the instructions in the storage medium are executed by the processor of an electronic device, the electronic device can execute a nuclear reactor control rod drive mechanism fault diagnosis method as provided above.

[0105] Since the electronic device described in this embodiment is an electronic device used to implement the information processing method in the embodiment of the present invention, based on the information processing method described in the embodiment of the present invention, those skilled in the art will be able to understand the specific implementation of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present invention will not be described in detail here. As long as the electronic device used by those skilled in the art to implement the information processing method in the embodiment of the present invention falls within the scope of protection of the present invention.

[0106] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0107] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0108] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0109] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0110] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0111] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for diagnosing faults in a control rod drive mechanism of a nuclear reactor, characterized in that: The method comprises: Acquiring a vibration signal and a three-phase current signal of the drive mechanism in a fault state, and performing signal fusion on the vibration signal and the three-phase current signal of the drive mechanism in the fault state to obtain a first image corresponding to the drive mechanism in the fault state; performing feature extraction on the first image to obtain a first fault feature; Acquiring a vibration signal and a three-phase current signal of a target drive mechanism in a running state, and performing signal fusion on the vibration signal and the three-phase current signal of the target drive mechanism to obtain a second image corresponding to the target drive mechanism; performing feature extraction on the second image to obtain a second running feature; A fault condition of the target drive mechanism is determined according to the second operating characteristic and the first fault characteristic.

2. A method for diagnosing a fault in a control rod drive mechanism of a nuclear reactor according to claim 1, characterized in that: Vibration signals and three-phase current signals, including: The vibration signal includes an axial vibration signal or a radial vibration signal; The three-phase current signal includes stator A phase current, stator B phase current and stator C phase current.

3. A method for diagnosing faults in a control rod drive mechanism of a nuclear reactor according to claim 2, characterized in that: Performing signal fusion on the vibration signal and the three-phase current signal of the driving mechanism in the fault state to obtain a first image corresponding to the driving mechanism in the fault state includes: Based on the symmetrical point pattern, the axial vibration signal, the stator A phase current, the stator B phase current and the stator C phase current are fused to obtain a first image corresponding to the drive mechanism in the fault state; or Based on the symmetrical point pattern, the radial vibration signal, the stator A-phase current, the stator B-phase current, and the stator C-phase current are fused to obtain a first image corresponding to the drive mechanism in the fault state.

4. A method for diagnosing faults in a control rod drive mechanism of a nuclear reactor according to claim 1, characterized in that: Extracting features from the first image to obtain a first fault feature includes: Based on convolution calculation and pooling calculation, feature extraction is performed on the first image to obtain a first fault feature, wherein the first fault feature is a numerical feature.

5. A method for diagnosing faults in a control rod drive mechanism of a nuclear reactor according to claim 1, characterized in that: Determining a fault condition of the target drive mechanism according to the second operating characteristic and the first fault characteristic includes: Determining the magnitude of the first fault characteristic and the second operating characteristic; If the second operating characteristic is greater than or equal to the first fault characteristic, the target drive mechanism fails; If the second operating characteristic is smaller than the first fault characteristic, the fault probability of the target drive mechanism is determined according to the second operating characteristic and the first fault characteristic.

6. A method for diagnosing faults in a control rod drive mechanism of a nuclear reactor according to claim 5, characterized in that: If the second operating characteristic is less than the first fault characteristic, determining the fault probability of the target drive mechanism according to the second operating characteristic and the first fault characteristic includes: The failure probability of the target drive mechanism is determined according to the ratio of the second operating characteristic to the first failure characteristic.

7. A method for diagnosing faults in a control rod drive mechanism of a nuclear reactor according to claim 1, characterized in that: Determining a fault condition of the target drive mechanism according to the second operating characteristic and the first fault characteristic includes: determining a ratio of the second operating characteristic to the first fault characteristic based on the first fault characteristic and the second operating characteristic; If the ratio is greater than a threshold, the target drive mechanism fails.

8. A fault diagnosis device for a control rod drive mechanism of a nuclear reactor, characterized in that: The device comprises: a fault image fusion module, configured to obtain a vibration signal and a three-phase current signal of the drive mechanism in a fault state, and perform signal fusion on the vibration signal and the three-phase current signal of the drive mechanism in the fault state to obtain a first image corresponding to the drive mechanism in the fault state; a fault feature extraction module, configured to extract features from the first image to obtain a first fault feature; an operating image fusion module, configured to obtain a vibration signal and a three-phase current signal of a target drive mechanism in an operating state, and perform signal fusion on the vibration signal and the three-phase current signal of the target drive mechanism to obtain a second image corresponding to the target drive mechanism; an operation feature extraction module, configured to extract features from the second image to obtain a second operation feature; A judgment module is used to judge the fault condition of the target drive mechanism according to the second operating characteristic and the first fault characteristic.

9. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute and implement a method for diagnosing a fault of a control rod drive mechanism of a nuclear reactor according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, characterized in that When the instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to implement a method for diagnosing faults of a control rod drive mechanism of a nuclear reactor according to any one of claims 1 to 7.

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