Fault identification method of electric actuator

Abstract

The invention discloses a fault identification method of an electric actuator, relates to the technical field of fault identification of the electric actuator, and aims to evaluate the operating environment of the specified electric actuator in the process of evaluating the fault detection corresponding to the specified electric actuator, so that the influence of different media on the electric actuator can be fully considered, and the fault identification accuracy is improved. When the operation state of the specified electric actuator is judged whether to be influenced, the comprehensive influence evaluation coefficient is compared with the operation state evaluation coefficient obtained from the database, so that the deviation degree between the current operation state and the normal state can be accurately determined; the method based on coefficient comparison is favorable for quantitatively judging the change of the operation state, further reasonably arranging fault checking resources and avoiding unnecessary shutdown check, and is favorable for formulating a reasonable detection plan according to the actual operation condition by obtaining the operation information of the same type of historical electric actuators from the database and generating a visual chart.

Description

Technical Field

[0001] The present invention relates to the technical field of electric actuator fault identification, and in particular to a method for electric actuator fault identification. Background Art

[0002] With the continuous expansion of industrial production scale and the improvement of automation level, pipeline transportation systems are widely used in many fields such as petroleum, chemical industry, energy, etc., and electric actuators are key equipment for controlling pipeline valves. Their reliable operation is crucial to ensuring the continuity, stability and safety of the entire production process. Any failure of electric actuators may cause valve control failure, thereby affecting pipeline transportation efficiency, and even causing serious safety accidents such as leakage and huge economic losses.

[0003] Prior art, such as the invention patent application with announcement number CN114154254A, discloses a method for controlling a stalled rotor fault of an electric actuator, including: obtaining information on an actual valve rotation angle; determining whether the absolute value of the difference between the actual valve rotation angle α1 and the valve rotation command angle α2 is greater than a preset difference β; wherein, when it is determined that the absolute value of the difference between the actual valve rotation angle α1 and the valve rotation command angle α2 is greater than the preset difference β, the electric actuator is determined to be stalled, and the valve rotation direction is recorded; when it is determined that the absolute value of the difference between the actual valve rotation angle α1 and the valve rotation command angle α2 is less than or equal to the preset difference β, the electric actuator is determined to be normal.

[0004] There are at least the following technical problems with the above scheme: 1. The above scheme lacks consideration of the operating environment of the electric actuator, which will lead to incomplete fault judgment. For example, in a corrosive medium environment, the components of the electric actuator may accelerate corrosion, thereby causing faults. However, judging the jam fault only based on the valve rotation angle difference cannot detect such potential faults caused by environmental factors, increasing the risk of equipment operation in complex environments. The lack of comprehensive use of multiple fault judgment parameters will limit the accuracy of the diagnostic results. Judging the jam condition only by the difference between the actual valve rotation angle and the command angle is too simplistic. Relying solely on the angle difference judgment cannot capture this information, which is prone to misjudgment or missed judgment, affecting the assessment of the overall health of the actuator.

[0005] 2. The above scheme lacks analysis and evaluation of specific fault-affected components, which will result in the inability to quickly locate and solve key problems when the electric actuator fails. In actual operation, some components of the electric actuator will experience performance degradation or failure due to long-term operation or specific environmental conditions. If detailed analysis and evaluation are not performed, the opportunity for early warning and intervention will be missed, increasing maintenance costs and time.

[0006] 3. The above scheme lacks description of the setting and implementation process of the fault detection cycle, which will lead to the lack of a scientific and reasonable fault detection mechanism in practical applications, affecting the reliability and safety of the electric actuator. If there is a lack of a scientific detection cycle setting method, the fault detection frequency will be too high or too low. The former will increase unnecessary detection costs and resource consumption, and the latter will delay the time for fault discovery and processing, increasing the risk of system operation. Summary of the invention

[0007] The purpose of the present invention is to provide a fault identification method for an electric actuator, which solves the problems existing in the background technology.

[0008] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a fault identification method for an electric actuator, including: S1. When a designated electric actuator is used on a valve transported in a pipeline, the fault detection process corresponding to the designated electric actuator is evaluated to determine whether the operating state of the designated electric actuator will be affected.

[0009] S2. When the operating state of the designated electric actuator will not be affected, the fault detection cycle of the designated electric actuator is obtained to perform normal fault detection.

[0010] S3. When the operating state of the specified electric actuator is affected, analyze the fault-affecting components corresponding to the specified electric actuator.

[0011] S4. According to each fault influencing component corresponding to the designated electric actuator, the fault impact degree corresponding to each fault influencing component in the designated electric actuator is further evaluated.

[0012] The beneficial effects of the present invention are: 1. A fault identification method for an electric actuator provided by the present invention, in the process of evaluating the fault detection corresponding to a specified electric actuator, obtains the type of medium transported by the connected pipeline from the engineering design documents, and then obtains the operating environment, which is conducive to fully considering the impact of different media on the electric actuator. For example, in a pipeline transporting corrosive liquids, the electric actuator will have corrosion and damage of the sealing components. By evaluating the operating environment of the specified electric actuator, it is conducive to targeted prediction of possible fault types and improve the pertinence and accuracy of fault detection.

[0013] 2. When judging whether the operating state of a specified electric actuator will be affected, the embodiment of the present invention compares the difference between the comprehensive impact assessment coefficient and the operating state assessment coefficient obtained from the database, which is conducive to accurately determining the degree of deviation between the current operating state and the normal state. The method based on coefficient comparison is conducive to quantitatively judging the change in the operating state, and then reasonably arranging troubleshooting resources to avoid unnecessary downtime inspections. In the process of obtaining the fault detection cycle of the specified electric actuator for normal fault detection, the operating information of the same type of historical electric actuators is obtained from the database to generate a visual chart, which is conducive to formulating a reasonable detection plan according to the actual operating conditions, thereby avoiding too frequent or too sparse detection, improving detection efficiency, reducing maintenance costs, and ensuring that potential problems can be discovered in time before a fault occurs.

[0014] 3. When analyzing the fault-affecting components corresponding to a specified electric actuator, the embodiment of the present invention obtains the maintenance records of the same type of electric actuators in the environment according to the operating environment, and counts the types of faulty components, which is conducive to accurately locating the components that are most likely to fail in the current operating environment. The method based on big data statistics makes full use of historical experience and focuses on key fault points. When performing fault detection and prevention on the current electric actuator, it is conducive to focusing on the fault-affecting components and improving the efficiency of fault diagnosis and prevention.

[0015] 4. When evaluating the fault impact degree corresponding to each fault influencing component in a specified electric actuator, the embodiment of the present invention obtains the comprehensive fault assessment parameters of each fault influencing component during operation and calculates the impact degree coefficient, which is conducive to accurately assessing the degree of harm of the fault to the electric actuator. The comprehensive fault assessment parameters reflect the severity of the fault from different angles, which helps to provide a basis for maintenance decisions, give priority to handling serious faults, and reasonably arrange maintenance resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a schematic flow chart of the implementation steps of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] See also Figure 1 As shown, the present invention provides a fault identification method for an electric actuator, the method comprising: S1, when a designated electric actuator is used on a valve transported in a pipeline, evaluating a fault detection process corresponding to the designated electric actuator to determine whether the operating state of the designated electric actuator will be affected.

[0020] In a specific embodiment, the fault detection process corresponding to the evaluation of the specified electric actuator is as follows: the types of media transported by the pipeline connected to the specified electric actuator are obtained from the engineering design document, and the operating environment corresponding to the specified electric actuator is obtained according to the types of media transported by the pipeline, and the sealing performance of the specified actuator in the operating state is detected to preliminarily determine whether the sealing performance of the specified electric actuator is affected. When the sealing performance of the specified electric actuator is affected, the first fault judgment parameter and the second fault judgment parameter corresponding to the specified electric actuator in the state where the pipeline does not transport the medium and in the state where the pipeline transports the medium are obtained, respectively. The first fault judgment parameter includes the action duration of the first actuator, the stroke of the first actuator and the first vibration frequency, and the second fault judgment parameter includes the action duration of the second actuator, the stroke of the second actuator and the second vibration frequency, and then the comprehensive impact evaluation coefficient corresponding to the specified electric actuator is calculated.

[0021] It should be noted that various media types include liquid media, gaseous media and solid particulate media, etc. The operating environment is inferred based on the different characteristics of the media types. For example, if the pipeline transports corrosive liquids, the environment in which the electric actuator is located is an environment with high humidity and a risk of chemical corrosion. Anti-corrosion measures and the corrosion resistance of sealing materials need to be considered. A time monitoring module is set in the control system of the electric actuator. The timing starts from the time the electric actuator receives the action instruction until the action specified by the action instruction is completed. The recorded time interval is the action duration of the first actuator. A displacement sensor is installed on the output shaft of the electric actuator or the part connected to the valve to measure the actual travel distance of the electric actuator during the action process, which is the first actuator stroke. A vibration sensor is installed on the housing of the electric actuator. When the electric actuator is running, the sensor collects vibration signals, and converts the time domain signals into frequency domain signals through a signal processing algorithm to obtain the first vibration frequency. The acquisition process of the second fault judgment parameter is the same as the acquisition process of the first fault judgment parameter, which will not be repeated here.

[0022] In a specific embodiment, the preliminary determination of whether the sealing of the specified electric actuator is affected is performed as follows: a mounting point is set at the sealing part of the electric actuator, and then a corresponding pressure sensor and a temperature sensor are installed at the mounting point, and each parameter collection time point is set, and then the pressure value and temperature value corresponding to the electric actuator at each parameter collection time point are obtained by the pressure sensor and the temperature sensor, and the pressure value and temperature value corresponding to each parameter collection time point are recorded as DP i and DT i , i is the number corresponding to each parameter collection time point, i=1, 2, ..., n, n is the total number corresponding to the parameter collection time points, n is a positive integer, the standard pressure range and standard temperature range corresponding to the electric actuator during operation are obtained from the database, the standard pressure range and the standard temperature range are recorded as DP "and DT", the judgment result of the sealing of the specified electric actuator is recorded as the airtightness index Ψ, the airtightness index Ψ includes the values ​​1 and 0, when the airtightness index Ψ is 0, it indicates that the sealing of the specified electric actuator is affected, when the airtightness index Ψ is 1, it indicates that the sealing of the specified electric actuator is not affected, through the sealing judgment expression: The judgment result of the sealing performance of the specified electric actuator is recorded as the airtightness index Ψ, ∧ represents the relationship of and, and ∨ represents the relationship of or.

[0023] It should be noted that the sealing parts include but are not limited to the contact between the seal and the actuator housing, and the connection between the seal and the valve.

[0024] In a specific embodiment, the calculation obtains the comprehensive impact assessment coefficient corresponding to the specified electric actuator, and the specific calculation process is as follows: according to the first fault judgment parameter and the second fault judgment parameter corresponding to the specified electric actuator in the state where the pipeline does not transport the medium and the state where the pipeline transports the medium, respectively, the calculation formula and The action duration change rate ΔT, stroke change rate ΔS and vibration frequency change rate ΔF are obtained, and T1, F1, S1, T2, F2, and S2 represent the first actuator action duration, the first actuator stroke, the first vibration frequency, the second actuator action duration, the second actuator stroke, and the second vibration frequency, respectively.

[0025] In the process of detecting the first fault judgment parameter and the second fault judgment parameter, the maximum first fault judgment parameter, the minimum first fault judgment parameter, the maximum second fault judgment parameter and the minimum second fault judgment parameter obtained in the detection process are recorded, and then substituted into the calculation formula corresponding to the action duration change rate, the calculation formula corresponding to the stroke change rate and the calculation formula corresponding to the vibration frequency change rate, respectively, thereby obtaining the maximum and minimum values ​​corresponding to ΔT, ΔS and ΔF, and the maximum and minimum values ​​corresponding to ΔT, ΔS and ΔF are respectively recorded as (ΔT) min , (ΔT) max , (ΔS) min , (ΔS) max , (ΔF) min Sum (ΔF) max .

[0026] By calculation formula:

[0027]

[0028] The comprehensive impact assessment coefficient χ corresponding to the specified electric actuator is obtained, where κ1, κ2, and κ3 represent the weight factors corresponding to the set actuator action duration, the actuator stroke, and the vibration frequency, respectively.

[0029] It should be noted that the values ​​of κ1, κ2, and κ3 are all greater than 0 and less than 1.

[0030] It should also be noted that the setting of weight factors needs to comprehensively consider the degree to which parameters reflect faults. For example, in oil pipeline electric actuators, by combining a large amount of historical fault data and expert opinions, if it is found that abnormal action duration will cause serious problems, such as oil leakage, the weight factor value corresponding to the actuator action duration will be set to the highest value, such as 0.6. If the stroke abnormality will cause insufficient opening and closing of the valve, thereby affecting the flow rate, but the harm is relatively small compared to oil leakage, the weight factor corresponding to the actuator stroke will be set to 0.3. The abnormal vibration frequency has a relatively small impact on the overall operation of the electric actuator, and the weight is set to 0.1.

[0031] In a specific embodiment, the specific process of determining whether the operating state of a specified electric actuator will be affected is as follows: obtaining from a database an operating state evaluation coefficient corresponding to the specified electric actuator when the pipeline is not transporting various media, and performing a difference comparison between the comprehensive impact evaluation coefficient corresponding to the specified electric actuator and the operating state evaluation coefficient; if the difference between the comprehensive impact evaluation coefficient and the operating state evaluation coefficient is greater than or equal to a set standard change value, it indicates that the operating state of the specified electric actuator will be affected; if the difference between the comprehensive impact evaluation coefficient and the operating state evaluation coefficient is less than the set standard change value, the operating state of the specified electric actuator will not be affected.

[0032] It should be noted that comparing the comprehensive impact assessment coefficient corresponding to the specified electric actuator with the operating status assessment coefficient by difference means subtracting the operating status assessment coefficient from the comprehensive impact assessment coefficient and performing an absolute value operation. The result obtained is the difference between the comprehensive impact assessment coefficient and the operating status assessment coefficient. The operating status assessment coefficient is a quantitative indicator used to measure the normal operating status of the specified electric actuator when the pipeline is not transporting various media, and reflects the corresponding performance level of the specified electric actuator in the state of no medium transportation.

[0033] When judging whether the operating state of a specified electric actuator will be affected, the embodiment of the present invention compares the difference between the comprehensive impact assessment coefficient and the operating state assessment coefficient obtained from the database, which is conducive to accurately determining the degree of deviation between the current operating state and the normal state. The method based on coefficient comparison is conducive to quantitatively judging the change in the operating state, and then reasonably arranging troubleshooting resources to avoid unnecessary downtime inspections. In the process of obtaining the fault detection cycle of the specified electric actuator for normal fault detection, the operating information of the same type of historical electric actuators is obtained from the database to generate a visual chart, which is conducive to formulating a reasonable detection plan according to the actual operating conditions, thereby avoiding too frequent or too sparse detection, improving detection efficiency, reducing maintenance costs, and ensuring that potential problems can be discovered in time before a fault occurs.

[0034] S2. When the operating state of the designated electric actuator will not be affected, the fault detection cycle of the designated electric actuator is obtained to perform normal fault detection.

[0035] In a specific embodiment, the fault detection cycle of the specified electric actuator is obtained for normal fault detection, and the specific process is as follows: the operation information of the historical electric actuator of the same type as the specified electric actuator is obtained from the database, and the operation information of the historical electric actuator is input into the computer software, so as to obtain a visualization chart showing the change of the operation information corresponding to the historical electric actuator over time. When the visualization chart shows that the operation information of the historical electric actuator has changed, the time point when the operation information has changed is recorded, and the time corresponding to the start of the operation of the historical electric actuator to the change of the operation information is recorded as the operation time Q, and then the fault detection cycle of the specified electric actuator is set to (Q-ΔQ), ΔQ=Q*10%.

[0036] According to the fault detection cycle of the specified electric actuator, the actuator fault detection model collects the operating information corresponding to the specified electric actuator, and then outputs the fault detection status of the specified electric actuator. The fault detection status includes normal operation, abnormal operation but not reaching a serious fault, and reaching a serious fault.

[0037] It should be noted that the operating information includes but is not limited to the action duration of the electric actuator, the stroke of the actuator, the vibration frequency, the power consumption and the temperature. For computer software such as MATLAB, the horizontal axis of the visualization chart represents time, which is used to display the operation status of the historical electric actuator at different times. The vertical axis is based on the specific operating information displayed. For example, if the action duration is displayed, the vertical axis is the value of the action duration. If the power consumption is displayed, the vertical axis is the specific value of the power consumption. When the actuator fault detection model collects the operating information corresponding to the specified electric actuator, it first obtains the current operating information of the specified actuator in real time through various sensors installed on the specified electric actuator. The various sensors include but are not limited to temperature sensors, displacement sensors and vibration sensors. The actuator fault detection model is a tool built based on data analysis, probability statistics and fault propagation laws. The actuator fault detection model is a prior art and will not be described in detail here.

[0038] S3. When the operating state of the specified electric actuator is affected, analyze the fault-affecting components corresponding to the specified electric actuator.

[0039] In a specific embodiment, the analysis specifies the fault-affecting components corresponding to the electric actuator, and the specific analysis process is as follows: according to the operating environment corresponding to the specified electric actuator, the maintenance records of the electric actuators of the same type as the specified electric actuator when they fail under the corresponding operating environment are obtained from the database, the maintenance records include the maintenance components and fault severity corresponding to each electric actuator, and the types of faulty components when each electric actuator is repaired under the corresponding operating environment are counted; when the number of failures of a certain faulty component is greater than the set safety impact number, the faulty component is used as the fault-affecting component corresponding to the specified electric actuator, thereby obtaining the fault-affecting components corresponding to the specified electric actuator.

[0040] It should be noted that the maintenance records of electric actuators of the same type as the designated electric actuator when failures occur in the corresponding operating environment are obtained from the database, and the "corresponding operating environment" means that the same medium is transported in the pipeline connected to each electric actuator and the designated electric actuator, and the medium is of the same type.

[0041] When analyzing the fault-affecting components corresponding to a specified electric actuator, the embodiment of the present invention obtains the maintenance records of the same type of electric actuators in the environment according to the operating environment, and counts the types of faulty components, which is conducive to accurately locating the components that are most likely to fail in the current operating environment. The method based on big data statistics makes full use of historical experience and focuses on key fault points. When performing fault detection and prevention on the current electric actuator, it is conducive to focusing on the fault-affecting components and improving the efficiency of fault diagnosis and prevention.

[0042] S4. According to each fault influencing component corresponding to the designated electric actuator, the fault impact degree corresponding to each fault influencing component in the designated electric actuator is further evaluated.

[0043] In a specific embodiment, the evaluation specifies the fault impact degree corresponding to each fault influencing component in the electric actuator, and the specific evaluation process is as follows: obtaining the comprehensive fault evaluation parameters of each fault influencing component corresponding to the specified electric actuator during operation, the comprehensive fault evaluation parameters including temperature rise rate, output torque and power consumption, and then calculating the impact degree coefficient of each fault influencing component corresponding to the specified electric actuator during operation.

[0044] The types of fault influencing components corresponding to the specified electric actuator and the influence degree coefficients corresponding to the fault influencing components are input into the actuator fault detection model. The fault influence degrees corresponding to the fault influencing components include serious faults, medium faults and minor faults. When the type corresponding to a fault influencing component belongs to the key components of the electric actuator, and the influence degree coefficient corresponding to the fault influencing component belongs to the serious fault influence degree coefficient interval, it indicates that the fault influencing component is a serious fault. When the type corresponding to a fault influencing component belongs to the non-critical components of the electric actuator, and the influence degree coefficient corresponding to the fault influencing component belongs to the medium fault influence degree coefficient interval, it indicates that the fault influencing component is a medium fault. When the type corresponding to a fault influencing component belongs to other components of the electric actuator, and the influence degree coefficient corresponding to the fault influencing component belongs to the minor fault influence degree coefficient interval, it indicates that the fault influencing component is a minor fault, thereby obtaining the fault influence degrees corresponding to each fault influencing component in the specified electric actuator.

[0045] It should be noted that the serious fault impact coefficient interval, the medium fault impact coefficient interval and the minor fault impact coefficient interval are obtained from the database. The key components of the electric actuator include the motor, transmission mechanism and control circuit, etc. The key components directly affect the basic functions of the actuator, such as power output, motion transmission and control instruction execution. The key components will seriously affect the normal operation of the electric actuator. Non-critical components include casing protection components and auxiliary fixed brackets, etc. Non-critical components play a role of protection and support. Other components include sensors for detecting environmental parameters and connectors that do not involve power output.

[0046] In a specific embodiment, the comprehensive fault assessment parameters of each fault-affecting component corresponding to the specified electric actuator during operation are obtained, and the specific acquisition process is as follows: a high-precision sensor is installed on the surface of each fault-affecting component in the specified electric actuator, and the temperature value, torque and power consumption corresponding to each fault-affecting component at each monitoring time point are collected according to the set monitoring time points, and the temperature value corresponding to the previous monitoring time point and the next monitoring time point are calculated by difference, and the obtained temperature difference is divided by the time interval between the previous monitoring time point and the next monitoring time point. The result obtained is the temperature rise rate corresponding to the previous monitoring time point, and then the temperature rise rate corresponding to each monitoring time point is obtained. The temperature rise rate, torque and power consumption corresponding to each fault-affecting component at each monitoring time point are calculated by the mean, and the result obtained is the temperature rise rate, torque and power consumption corresponding to each fault-affecting component during operation of the specified electric actuator.

[0047] In a specific embodiment, the calculation obtains the influence degree coefficient of each fault-affecting component of the specified electric actuator during operation. The specific calculation process is as follows: the standard data range of the temperature rise rate, the standard data range of the output torque, and the standard data range of the power consumption of each fault-affecting component of the specified electric actuator under normal operation are obtained from the database, and the standard data range of the temperature rise rate, the standard data range of the output torque, and the standard data range of the power consumption are respectively recorded as [T min , T max ]、[M min , M max ] and [P min , P max ].

[0048] By calculating the formula Get the influence coefficient Φ of each fault-affecting component of the specified electric actuator during operation j , j is the number of each fault-affected component, j = 1, 2, ..., m, m is the total number of fault-affected components, m is a positive integer, where T j 、M j , P j They respectively represent the temperature rise rate, output torque and power consumption of the components affected by the jth fault of the specified electric actuator during operation. ν1, ν2 and ν3 respectively represent the weight factor corresponding to the set temperature rise rate, the weight factor corresponding to the output torque and the weight factor corresponding to the power consumption.

[0049] It should be noted that the values ​​of ν1, ν2, and ν3 are all greater than 0 and less than 1. The setting process of ν1, ν2, and ν3 is the same as the setting process of κ1, κ2, and κ3, and will not be elaborated here.

[0050] When evaluating the fault impact degree corresponding to each fault influencing component in a specified electric actuator, the embodiment of the present invention obtains the comprehensive fault assessment parameters of each fault influencing component during operation and calculates the impact degree coefficient, which is conducive to accurately assessing the degree of harm of the fault to the electric actuator. The comprehensive fault assessment parameters reflect the severity of the fault from different angles, which helps to provide a basis for maintenance decisions, give priority to handling serious faults, and reasonably arrange maintenance resources.

[0051] The present invention provides a fault identification method for an electric actuator. In the process of evaluating the fault detection corresponding to a specified electric actuator, the medium type transported by the connected pipeline is obtained from the engineering design document, and then the operating environment is obtained. This is conducive to fully considering the impact of different media on the electric actuator. For example, in a pipeline transporting corrosive liquids, the electric actuator may have corrosion and damage to the sealing components. By evaluating the operating environment of the specified electric actuator, it is conducive to targeted prediction of possible fault types and improving the pertinence and accuracy of fault detection.

[0052] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A fault identification method for an electric actuator, characterized in that: include: S1. When the specified electric actuator is used on a valve transported in a pipeline, evaluate the fault detection process corresponding to the specified electric actuator to determine whether the operating state of the specified electric actuator will be affected; S2. When the operating state of the designated electric actuator will not be affected, the fault detection cycle of the designated electric actuator is obtained to perform normal fault detection; S3. When the operating state of the specified electric actuator is affected, analyze the fault-affecting components corresponding to the specified electric actuator; S4. According to each fault influencing component corresponding to the designated electric actuator, the fault impact degree corresponding to each fault influencing component in the designated electric actuator is further evaluated.

2. A fault identification method for an electric actuator according to claim 1, characterized in that: The evaluation specifies the fault detection process corresponding to the electric actuator, and the specific process is as follows: The types of media transported by the pipeline connected to the specified electric actuator are obtained from the engineering design documents. According to the types of media transported by the pipeline, the operating environment corresponding to the specified electric actuator is obtained. By detecting the corresponding sealing performance of the specified actuator in the operating state, it is preliminarily determined whether the sealing performance of the specified electric actuator is affected. When the sealing performance of the specified electric actuator is affected, the first fault judgment parameter and the second fault judgment parameter corresponding to the specified electric actuator in the state where the pipeline does not transport the medium and in the state where the pipeline transports the medium are obtained. The first fault judgment parameter includes the action time of the first actuator, the stroke of the first actuator and the first vibration frequency. The second fault judgment parameter includes the action time of the second actuator, the stroke of the second actuator and the second vibration frequency. Then, the comprehensive impact assessment coefficient corresponding to the specified electric actuator is calculated.

3. A fault identification method for an electric actuator according to claim 2, characterized in that: The specific process of the preliminary judgment on whether the sealing of the specified electric actuator is affected is as follows: An installation point is set at the sealing part of the electric actuator, and then the corresponding pressure sensor and temperature sensor are installed at the installation point, and the time point for collecting each parameter is set, and then the pressure value and temperature value corresponding to each parameter collection time point of the electric actuator are collected by the pressure sensor and the temperature sensor, and the pressure value and temperature value corresponding to each parameter collection time point are recorded as DP i and DT i , i is the number corresponding to each parameter collection time point, i=1, 2, ..., n, n is the total number corresponding to the parameter collection time points, n is a positive integer, the standard pressure range and standard temperature range corresponding to the electric actuator during operation are obtained from the database, the standard pressure range and the standard temperature range are recorded as DP "and DT", the judgment result of the sealing of the specified electric actuator is recorded as the airtightness index Ψ, the airtightness index Ψ includes the values ​​1 and 0, when the airtightness index Ψ is 0, it indicates that the sealing of the specified electric actuator is affected, when the airtightness index Ψ is 1, it indicates that the sealing of the specified electric actuator is not affected, through the sealing judgment expression: The judgment result of the sealing performance of the specified electric actuator is recorded as the airtightness index Ψ, ∧ represents the relationship of and, and ∨ represents the relationship of or.

4. A fault identification method for an electric actuator according to claim 3, characterized in that: The calculation obtains the comprehensive impact assessment coefficient corresponding to the specified electric actuator, and the specific calculation process is as follows: According to the first fault judgment parameter and the second fault judgment parameter corresponding to the state where the pipeline does not transport the medium and the state where the pipeline transports the medium, respectively, the calculation formula The action duration change rate ΔT, stroke change rate ΔS and vibration frequency change rate ΔF are obtained, and T1, F1, S1, T2, F2, and S2 represent the first actuator action duration, the first actuator stroke, the first vibration frequency, the second actuator action duration, the second actuator stroke, and the second vibration frequency, respectively. In the process of detecting the first fault judgment parameter and the second fault judgment parameter, the maximum first fault judgment parameter, the minimum first fault judgment parameter, the maximum second fault judgment parameter and the minimum second fault judgment parameter obtained in the detection process are recorded, and then substituted into the calculation formula corresponding to the action duration change rate, the calculation formula corresponding to the stroke change rate and the calculation formula corresponding to the vibration frequency change rate, respectively, thereby obtaining the maximum and minimum values ​​corresponding to ΔT, ΔS and ΔF, and the maximum and minimum values ​​corresponding to ΔT, ΔS and ΔF are respectively recorded as (ΔT) min , (ΔT) max , (ΔS) min , (ΔS) max , (ΔF) min Sum (ΔF) max ; By calculation formula: The comprehensive impact assessment coefficient χ corresponding to the specified electric actuator is obtained, where κ1, κ2, and κ3 represent the weight factors corresponding to the set actuator action duration, the actuator stroke, and the vibration frequency, respectively.

5. A fault identification method for an electric actuator according to claim 4, characterized in that: The specific process of judging whether the running state of the specified electric actuator will be affected is as follows: The operating status assessment coefficient corresponding to the specified electric actuator when the pipeline is not transporting various media is obtained from the database, and the comprehensive impact assessment coefficient corresponding to the specified electric actuator is compared with the operating status assessment coefficient. If the difference between the comprehensive impact assessment coefficient and the operating status assessment coefficient is greater than or equal to the set standard change value, it indicates that the operating status of the specified electric actuator will be affected. If the difference between the comprehensive impact assessment coefficient and the operating status assessment coefficient is less than the set standard change value, the operating status of the specified electric actuator will not be affected.

6. A method for identifying a fault of an electric actuator according to claim 5, characterized in that: The specific process of obtaining the fault detection cycle of the specified electric actuator for normal fault detection is as follows: Obtain the operation information of the same type of historical electric actuator as the designated electric actuator from the database, input the operation information of the historical electric actuator into the computer software, and then obtain a visualization chart showing the operation information of the historical electric actuator changing with time. When the operation information of the historical electric actuator changes as shown in the visualization chart, record the time point when the operation information changes, and record the time from the start of the operation of the historical electric actuator to the change of the operation information as the operation time Q, and then set the fault detection cycle of the designated electric actuator to (Q-ΔQ), ΔQ=Q*10%; According to the fault detection cycle of the specified electric actuator, the actuator fault detection model collects the operating information corresponding to the specified electric actuator, and then outputs the fault detection status of the specified electric actuator. The fault detection status includes normal operation, abnormal operation but not reaching a serious fault, and reaching a serious fault.

7. A fault identification method for an electric actuator according to claim 6, characterized in that: The analysis specifies the fault-affecting components corresponding to the electric actuator. The specific analysis process is as follows: According to the operating environment corresponding to the designated electric actuator, maintenance records of electric actuators of the same type as the designated electric actuator when failures occur in the corresponding operating environment are obtained from the database. The maintenance records include maintenance components and fault severity corresponding to each electric actuator. Statistics are collected on the types of faulty components when each electric actuator is repaired in the corresponding operating environment. When the number of failures of a certain faulty component is greater than the set number of safety impacts, the faulty component is used as the fault-affecting component corresponding to the designated electric actuator, thereby obtaining the fault-affecting components corresponding to the designated electric actuator.

8. A method for identifying faults of an electric actuator according to claim 7, characterized in that: The evaluation specifies the degree of fault impact corresponding to each fault-affecting component in the electric actuator, and the specific evaluation process is as follows: The comprehensive fault assessment parameters of each fault influencing component of the specified electric actuator during operation are obtained, and the comprehensive fault assessment parameters include temperature rise rate, output torque and power consumption, and then the influence degree coefficient of each fault influencing component of the specified electric actuator during operation is calculated. The types of fault influencing components corresponding to the specified electric actuator and the influence degree coefficients corresponding to the fault influencing components are input into the actuator fault detection model. The fault influence degrees corresponding to the fault influencing components include serious faults, medium faults and minor faults. When the type corresponding to a fault influencing component belongs to the key components of the electric actuator, and the influence degree coefficient corresponding to the fault influencing component belongs to the serious fault influence degree coefficient interval, it indicates that the fault influencing component is a serious fault. When the type corresponding to a fault influencing component belongs to the non-critical components of the electric actuator, and the influence degree coefficient corresponding to the fault influencing component belongs to the medium fault influence degree coefficient interval, it indicates that the fault influencing component is a medium fault. When the type corresponding to a fault influencing component belongs to other components of the electric actuator, and the influence degree coefficient corresponding to the fault influencing component belongs to the minor fault influence degree coefficient interval, it indicates that the fault influencing component is a minor fault, thereby obtaining the fault influence degrees corresponding to each fault influencing component in the specified electric actuator.

9. A fault identification method for an electric actuator according to claim 8, characterized in that: The specific acquisition process of obtaining the comprehensive fault assessment parameters of each fault-affecting component of the specified electric actuator during operation is as follows: A high-precision sensor is installed on the surface of each fault-affecting component in the specified electric actuator, and the temperature value, torque and power consumption corresponding to each fault-affecting component at each monitoring time point are collected according to the set monitoring time points. The temperature value corresponding to the previous monitoring time point and the next monitoring time point are calculated by difference, and the obtained temperature difference is divided by the time interval between the previous monitoring time point and the next monitoring time point. The result obtained is the temperature rise rate corresponding to the previous monitoring time point, and the temperature rise rate corresponding to each monitoring time point is obtained. The temperature rise rate, torque and power consumption corresponding to each fault-affecting component at each monitoring time point are calculated by average, and the result obtained is the temperature rise rate, torque and power consumption corresponding to each fault-affecting component during operation of the specified electric actuator.

10. A fault identification method for an electric actuator according to claim 9, characterized in that: The calculation obtains the influence coefficient of each fault-affecting component of the specified electric actuator during operation. The specific calculation process is as follows: Obtain the standard data range of temperature rise rate, output torque and power consumption of each fault-affected component of the specified electric actuator under normal operating conditions from the database, and record the standard data range of temperature rise rate, output torque and power consumption as [T min , T max ]、[M min , M max ] and [P min , P max ]; By calculating the formula Get the influence coefficient Φ of each fault-affecting component of the specified electric actuator during operation j , j is the number of each fault-affected component, j = 1, 2, ..., m, m is the total number of fault-affected components, m is a positive integer, where T j 、M j , P j They respectively represent the temperature rise rate, output torque and power consumption of the components affected by the jth fault of the specified electric actuator during operation. ν1, ν2 and ν3 respectively represent the weight factor corresponding to the set temperature rise rate, the weight factor corresponding to the output torque and the weight factor corresponding to the power consumption.

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