A High-temperature OCT Monitoring Method and System for Thermal Barrier Coatings of Aeroengines

Abstract

The present invention discloses a high-temperature OCT monitoring method and system for thermal barrier coatings of aeroengines, relating to the fields of aerospace and materials science. The method includes: collecting coating material data, calculating the simulated intensity distribution of light in the material, and judging the validity of the actually collected input signal according to the signal verification and re-collection protocol; performing noise modeling and data processing on the retained input signal to obtain a true denoised signal; extracting pore complexity and crack fractal dimension from the denoised signal and calculating the layer health index; calculating the damage evolution of the coating based on the pore complexity, crack fractal dimension and layer health index to obtain a damage field and predicting the remaining life; optimizing the OCT scanning strategy according to the predicted remaining life to ensure efficient completion of the scanning task and timely detection of problems. By noise removal, coating health assessment, damage field calculation and remaining life prediction, the scanning strategy is optimized, improving the accuracy, efficiency and reliability of coating monitoring and effectively supporting maintenance decisions.

Description

Technical Field

[0001] The present invention relates to the fields of aerospace and materials science, and particularly to a high-temperature OCT monitoring method and system for thermal barrier coatings of aeroengines. Background Art

[0002] The thermal barrier coating of an aeroengine is an important material used to protect engine components, especially turbine blades and other high-temperature components, from the effects of high temperature and thermomechanical loads. With the improvement of the performance of aeroengines, the service environment of thermal barrier coatings becomes more and more complex. High temperature, thermal cycling, and mechanical stress will all affect the performance of the coating, resulting in damage such as cracks and pores in the coating, thereby reducing the safety and reliability of the engine. Therefore, regularly monitoring the state of the thermal barrier coating and predicting its remaining life are crucial for the maintenance and use of the engine.

[0003] Optical coherence tomography is a non-contact, high-resolution imaging technology, which is widely used in the biomedical field and has potential in material detection and coating monitoring. By obtaining high-resolution images of the coating, microscopic structure information such as pores and cracks inside the coating can be obtained in real time, and the health status of the coating can be evaluated based on this information.

[0004] However, traditional OCT monitoring methods have certain limitations. For example, it is difficult to accurately remove the influence of noise, the damage evolution of the coating cannot be evaluated in real time, and the scanning strategy is often not optimized, resulting in low detection efficiency. Therefore, how to improve the OCT monitoring effect of the thermal barrier coating of an aeroengine through technical means such as precise noise removal, pore and crack feature extraction, damage evolution prediction, and scanning strategy optimization in a high-temperature environment has become an urgent problem to be solved. Summary of the Invention

[0005] Based on the above-mentioned disadvantages of the prior art, the purpose of the present invention is to provide a high-temperature OCT monitoring method and system for thermal barrier coatings of aeroengines to solve the above technical problems.

[0006] To achieve the above purpose, the present invention provides the following technical solution: A high-temperature OCT monitoring method for thermal barrier coatings of aeroengines, comprising:

[0007] Collecting coating material data, calculating the simulated intensity distribution of light in the material, and judging the validity of the actually collected input signal according to the signal verification and re-collection protocol;

[0008] Performing noise modeling and data processing on the retained input signal to obtain a true denoised signal;

[0009] Extracting pore complexity and crack fractal dimension from the denoised signal and calculating the layer health index;

[0010] Based on the pore complexity, crack fractal dimension, and layer health index, calculate the damage evolution of the coating to obtain the damage field and predict the remaining life;

[0011] Optimize the OCT scanning strategy according to the predicted remaining life to ensure efficient completion of the scanning task and timely detection of problems.

[0012] The present invention is further configured such that the collected coating material data includes: absorption coefficient , initial light source intensity distribution , temperature , starting position of light , input signal ; simulation intensity distribution calculation logic: , where is the simulated intensity distribution of light in the material, is the wavelength of light, is the path length of light propagation, is the starting position, is the initial light source intensity distribution.

[0013] The present invention is further configured such that the signal verification and resampling protocol calculation logic: , is the difference metric between the input signal and the simulated intensity distribution, is the input signal, is the norm, is the hyperparameter; signal verification and resampling protocol decision logic: , where is the set threshold.

[0014] The present invention is further configured such that the denoising signal calculation logic: , where is the denoising signal, is the retained input signal, is the fractional Fourier transform of the input signal, is the transform order, is the norm of the signal , is the regularization coefficient, is the noise, is the smoothing parameter, is the Sobolev space with the smoothing parameter, is the fractional Sobolev norm of the noise.

[0015] The present invention is further configured such that the pore complexity calculation logic: , where is the pore complexity, is the pore boundary length, is the total length of the pore boundary, is the number of pores; the calculation logic of crack fractal degree is: ,in, is the crack fractal degree, The number of meshes required to cover the crack is , There are two grid sizes.

[0016] The present invention is further configured to calculate the health index logic: ,in, is the level health index, , To control the parameters, , is a tiny constant.

[0017] The present invention is further configured such that the damage field calculation logic is: ,in, is the damage field, is the diffusion coefficient related to pore complexity, is the convergence coefficient related to the crack fractal degree, is the pore complexity, is the crack fractal degree, is the Laplace operator, is the impact coefficient related to the level health index.

[0018] The present invention is further configured such that the remaining life calculation logic is: ,in, is the remaining life, is the attenuation factor, Initial time, The maximum usage time.

[0019] The present invention is further configured such that the scanning strategy optimizes the calculation logic: in, is the scanning density, is a very small constant, To adjust the constants; adjust the scanning strategy according to the scanning density to minimize the total scanning time while ensuring that the critical areas of the coating are adequately inspected.

[0020] The present invention also provides a high-temperature OCT monitoring system for thermal barrier coatings of aircraft engines, the system comprising:

[0021] Simulation calculation module: collects coating material data, calculates the simulated intensity distribution of light in the material, and determines the validity of the actually collected input signal based on the signal verification and re-collection protocol;

[0022] Signal denoising module: Model the noise and process the data of the retained input signal to obtain the true denoised signal;

[0023] Feature extraction module: Extract the pore complexity and crack fractal dimension from the denoised signal and calculate the layer health index;

[0024] Life prediction module: Based on the pore complexity, crack fractal dimension and layer health index, calculate the damage evolution of the coating to obtain the damage field and predict the remaining life;

[0025] Scanning measurement optimization module: Optimize the OCT scanning strategy according to the predicted remaining life to ensure the efficient completion of the scanning task and timely detection of problems.

[0026] The present invention provides a method and system for high-temperature OCT monitoring of thermal barrier coatings for aeroengines. The method collects coating material data, calculates the simulated intensity distribution of light in the material, and judges the validity of the actually collected input signal according to the signal verification and re-acquisition protocol; models the noise and processes the data of the retained input signal to obtain the true denoised signal; extracts the pore complexity and crack fractal dimension from the denoised signal and calculates the layer health index; based on the pore complexity, crack fractal dimension and layer health index, calculates the damage evolution of the coating to obtain the damage field and predicts the remaining life; optimizes the OCT scanning strategy according to the predicted remaining life to ensure the efficient completion of the scanning task and timely detection of problems. The beneficial effects generated include:

[0027] Effective noise removal and signal verification: The present invention uses the fractional Fourier transform and regularization technology for noise modeling and denoising, which can effectively remove the noise interference introduced by high-temperature environments or other factors, thereby obtaining a more real denoised signal and ensuring the accuracy of monitoring data. At the same time, through the signal verification and re-acquisition protocol, the validity of the signal can be detected and corrected in real time during the actual acquisition process, further improving the reliability of the signal.

[0028] Multi-dimensional coating health assessment: By extracting multi-dimensional features such as pore complexity and crack fractal dimension, the present invention can comprehensively evaluate the health state of the coating and obtain more comprehensive damage information. The layer health index, as a comprehensive evaluation index, can more intuitively reflect the damage degree of the coating and provide an important basis for subsequent damage evolution prediction and remaining life assessment.

[0029] Damage field calculation and accurate prediction of remaining life: Based on the pore complexity, crack fractal dimension and layer health index of the coating, the present invention calculates the damage field of the coating and predicts the remaining life, which can judge in advance whether the coating reaches the critical point of service life and guide subsequent maintenance and replacement decisions. The predicted remaining life provides data support for the efficient management of the use of the coating.

[0030] Optimize the scanning strategy to improve the detection efficiency: According to the prediction results of the remaining life, optimize the OCT scanning strategy so that the scanning density can be dynamically adjusted according to the damage degree of the coating. This method can minimize the scanning time while ensuring sufficient detection in the key areas, thereby improving the detection efficiency. On the one hand, it improves the detection accuracy, and on the other hand, it reduces the detection cost and time overhead.

[0031] The above description is only an overview of the technical solution of this application. In order to be able to more clearly understand the technical means of this application, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of this application more obvious and understandable, the following specifically gives the specific implementation manners of this application. Brief Description of the Drawings

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings. In the drawings:

[0033] Figure 1 It is a flowchart of a method for monitoring the high-temperature OCT of the thermal barrier coating of an aero-engine shown in an exemplary embodiment of the present invention;

[0034] Figure 2 It is a schematic structural diagram of a system for monitoring the high-temperature OCT of the thermal barrier coating of an aero-engine shown in an exemplary embodiment of the present invention. Detailed Embodiments

[0035] The following will illustrate the embodiments of the present invention with reference to the drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, rather than for limiting the protection scope of the present invention.

[0036] It should be noted that the diagrams provided in the following embodiments only illustrate the basic concept of the present invention in a schematic manner. Therefore, only the components related to the present invention are shown in the diagrams, rather than being drawn according to the number, shape and size of the components in actual implementation. The type, quantity and proportion of each component in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0037] In the following description, a large number of details are explored to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand. Embodiment 1

[0038] A high-temperature OCT monitoring method for thermal barrier coatings of aeroengines, as Figure 1 shown, includes:

[0039] Collect coating material data, calculate the simulated intensity distribution of light in the material, and judge the validity of the actually collected input signal according to the signal verification and re-collection protocol;

[0040] Perform noise modeling and data processing on the retained input signal to obtain a true denoised signal;

[0041] Extract pore complexity and crack fractal dimension from the denoised signal and calculate the layer health index;

[0042] Based on the pore complexity, crack fractal dimension and layer health index, calculate the damage evolution of the coating to obtain a damage field and predict the remaining life;

[0043] Optimize the OCT scanning strategy according to the predicted remaining life to ensure the efficient completion of the scanning task and timely detection of problems.

[0044] The present invention is further configured such that the collected coating material data includes: absorption coefficient , initial light source intensity distribution , temperature , starting position of light , input signal ; Simulated intensity distribution calculation logic: , where is the simulated intensity distribution of light in the material, is the wavelength of light, is the path length of light propagation, is the initial light source intensity distribution. Specifically, the absorption coefficient describes the degree to which light is absorbed during the propagation in the material, and it is related to the wavelength of light and the temperature of the material Related, when the value of the absorption coefficient is large, it means that the material can effectively absorb light; the initial intensity distribution of the light source describes the light intensity distribution at the position of the light source. The light source emits light at or near the surface of the coating, and the intensity distribution varies at different spatial positions; the temperature refers to the temperature of the environment where the coating is located, and the ambient temperature where the coating is located will affect the optical properties; the starting position is usually set as the position of the light source and is a coordinate; the simulated intensity distribution represents the intensity change per unit path length during the propagation of light, aiming to predict the change trend of the light signal at a specific position, predict behaviors such as signal attenuation, reflection, and scattering, and judge whether the actually collected signal is a valid signal by comparing the actually collected signal with the simulated intensity distribution; Represents the propagation path of light and the path length from the starting position to the current position; Is an exponential attenuation factor that describes the attenuation characteristics of light propagation in the material. As the light propagation path increases, the intensity of light gradually weakens according to the absorption characteristics of the material. The larger the absorption coefficient, the faster the attenuation.

[0045] The present invention is further set to the signal verification and re-sampling protocol calculation logic: , Is a measure of the difference between the input signal and the simulated intensity distribution, Is the input signal; Is a norm, Is a hyperparameter; the signal verification and re-sampling protocol decision logic: , where, Is a set threshold. Specifically, the input signal is based on the actual data collected by the sensor, and may be affected by factors such as sensor damage and environmental changes to collect invalid data. Therefore, it is necessary to verify the data. If the signal The error between the calculated simulated intensity is not large, which proves that the collected data is credible. If the collected data has a large error from the predicted simulated intensity, it proves that the data is invalid; Represents the difference between the input signal and the predicted signal, quantifying the deviation degree between the actual signal and the expected signal. The norm Is used to calculate this difference. The common norm is the Euclidean distance. The hyperparameter Represents different "distance measurement methods". Here, the Euclidean distance is used, and Is set; the set threshold Is an empirical value used to judge the validity of the signal. The specific value is determined according to system requirements or empirical data. If Exceeds the set threshold, it means that the signal quality is poor and needs to be re-collected.

[0046] The present invention is further set to the denoising signal calculation logic: , where, is the denoised signal, is the input signal, is the fractional Fourier transform of the input signal, is the transform order, for the signal norm, is the regularization coefficient, is the noise, is the smoothing parameter, is the Sobolev space with the smoothing parameter, is the fractional Sobolev norm of the noise. Specifically, the denoised signal is to recover a clearer and more real signal from the signal containing noise; the input signal is the optical signal obtained by OCT monitoring, the qualified input signal retained after signal verification and re-sampling protocol determination, and the numerical data range will vary according to the experimental settings; represents the fractional Fourier transform, a transform for signal processing, which is a generalization of the traditional Fourier transform and can better process non-stationary signals, is the order of the transform, which varies between 0 and 1. 0 corresponds to the conventional Fourier transform and 1 corresponds to the time-domain signal. The fractional Fourier transform can help process signals with complex noise; is the norm of the signal after transformation, used to measure the sparsity or variation degree of the signal. When , the norm corresponds to the Euclidean distance and is commonly used in conventional signal analysis; the regularization coefficient is used to control the balance between the two terms in the objective function and is selected by methods such as cross-validation value; the fractional Sobolev norm of the noise measures the smoothness of the noise in a certain space, considering the local smoothness of the noise. The larger the value, the less smooth the noise. The Sobolev space is a class of function spaces used to process the "derivative information" of signals and is commonly used in signal processing and partial differential equations.

[0047] The present invention is further set as the pore complexity calculation logic: , where is the pore complexity, is the pore boundary length, is the total pore boundary length, is the number of pores; the crack fractal dimension calculation logic: , where is the crack fractal dimension, is the number of grids required to cover the crack, and There are two grid sizes. Specifically, the complexity of the pores reflects the complexity of the pore morphology in the material, and the calculation method is to evaluate through the length distribution of the pore boundaries. The more complex the boundary is, the higher the pore complexity is. The more uneven the boundary length of the pores is, the more complex the pore morphology is; the pore boundary length represents the boundary length of the th pore, which refers to the length of the outer contour of the pore and is obtained through image analysis; the total pore boundary length represents the sum of the boundary lengths of all pores, which is used to standardize the boundary length of each pore to ensure that the calculated pore complexity is relative. The total boundary length is the sum of the boundary lengths of all pores, and is obtained by summing all ; the number of pores represents the number of pores existing in the material, which is counted by the connected region analysis method in image processing; the fractal dimension of the crack is used to quantify the complexity of the crack morphology. The fractal dimension is calculated by the number of grids required to cover the crack at different scales, which reflects the self-similar characteristics of the crack morphology. The stronger the self-similarity is, the larger the fractal dimension is; , are respectively the number of grids required to cover the crack at scales and , which is used to represent how many grids are required to completely cover the contour of the crack at a given scale. The higher the complexity of the crack is, the more grids are required to cover it; and usually take and , aiming to penetrate the self-similarity of the crack at different scales.

[0048] The present invention is further set as the calculation logic of the layer health index: , where is the layer health index, , are control parameters, , are small constants. Specifically, the layer health index is a comprehensive index, which reflects the damage degree of the material at the micro level by considering the pore complexity and the crack fractal dimension, and evaluates the health state of the material. The value of the layer health index is between 0 and 1. Being close to 1 indicates that the material is in a healthy state, and being close to 0 indicates that the material is severely damaged or about to fail; , are two control parameters, which are used to adjust the influence of the pore complexity and the crack fractal dimension in the calculation. By adjusting these two parameters, the weights of these two factors in the health index can be flexibly controlled, and the values are between and between; a very small constant and is a very small constant used to avoid division by zero; the core idea of the formula is to combine pore complexity and crack fractal dimension , and apply a weighted logarithmic model, and finally use the sigmoid function to uniformly transform the influence of both into a health index between 0 and 1 .

[0049] The present invention is further configured as a damage field calculation logic: , where is the damage field, is the diffusion coefficient related to pore complexity, is the convergence coefficient related to crack fractal dimension, is the pore complexity, is the crack fractal dimension, is the Laplace operator, is the influence coefficient related to the layer health index. Specifically, the damage field of the coating represents the damage degree of the coating at position and time , and the value is , indicating no damage, indicating complete damage; the diffusion coefficient related to pore complexity represents the influence of pores on damage propagation, and its value range is , and the larger the value, the greater the influence of pores on damage propagation; the convergence coefficient related to crack fractal dimension represents the influence of crack distribution on damage stability, and its value range is , and the larger the value, the stronger the enhancement effect of crack propagation on damage; the Laplace operator represents the diffusion effect at the spatial position and simulates the propagation of coating damage; represents the non-linear term of damage evolution, and when the damage value approaches , the effect of this term decreases; the influence coefficient related to the layer health index represents the influence degree of health score on damage evolution, and its value range is , and the larger the value, the stronger the correction effect of health score on damage evolution; represents the influence of pore complexity on the diffusion of the coating damage field. The greater the complexity of the pores, the easier the damage diffusion of the coating, resulting in an accelerated damage propagation speed. The Laplace operator simulates the diffusion process of damage in space; It indicates the influence of crack fractal degree on the convergence of damage field. When damage begins to develop, the existence of cracks will aggravate the damage extension, especially in the area with high crack fractal degree. Ensure that the effect of cracks gradually decreases as the damage value approaches 1; It represents the corrective effect of the health score on the evolution of the coating damage field. When the coating is in a relatively healthy state, the extension of the damage will be suppressed. This item can correct the damage evolution process and slow down the aggravation of the damage, especially when the health score of the coating is high.

[0050] The present invention is further configured such that the remaining life calculation logic is: ,in, is the remaining life, is the attenuation factor, Initial time, is the maximum usage time. Specifically, the remaining life Indicates the current time point To the maximum usage time The remaining service life of the coating between , which indicates the remaining effective time of the coating from the current time point to the maximum usage time. As the damage increases, the remaining life gradually decreases. If the coating is completely healthy, the remaining life is the maximum usage time; the attenuation factor Indicates the degree of influence of coating damage on the remaining life, reflecting the aggravation rate of coating damage, and the value range is The larger the value, the greater the impact of coating damage on the remaining life. Damage accelerates the consumption of coating life. Maximum service life Indicates the maximum design service life of the coating, with different standard values set according to different coating materials; represents an exponential function, which simulates the gradual attenuation of the coating life due to damage. As the damage increases, the value of the exponential function approaches 0, indicating a decrease in the remaining life; Indicates the integration of the time interval, indicating that the coating To the maximum usage time The damage evolution process between the two time periods is analyzed, and the overall remaining life of the coating is obtained by weighting the damage contribution of each time period.

[0051] The present invention is further configured such that the scanning strategy optimizes the calculation logic: ,in, is the scanning density, is a very small constant, To adjust the constant; adjust the scanning strategy according to the scanning density to minimize the total scanning time while ensuring that the critical areas of the coating are adequately inspected. Indicates at location and time The intensity or density during scanning. The scanning density determines the scanning frequency of the scanning device in a specific area. The higher the density, the higher the scanning accuracy and the larger the covered area. A higher scanning density means that areas with more severe coating damage need to be scanned more frequently to ensure the accuracy of detection. At the same time, areas with a shorter remaining life also need to increase the scanning frequency; extremely small constant Used to avoid the damage field When it is 0, the fraction is zero, and the value range is ; adjustment constant Used to scale the value of the scanning density, and the value range is . A smaller value will result in a lower scanning density, while a larger value will increase the scanning frequency; Represents the relationship between the scanning density and the damage degree and remaining life of the coating. Embodiment 2

[0052] Please refer to Figure 2 , and an exemplary high-temperature OCT monitoring system for the thermal barrier coating of an aero-engine includes:

[0053] Simulation calculation module: Collect coating material data, calculate the simulated intensity distribution of light in the material, and judge the validity of the actually collected input signal according to the signal verification and re-collection protocol;

[0054] Signal denoising module: Perform noise modeling and data processing on the retained input signal to obtain a real denoised signal;

[0055] Feature extraction module: Extract pore complexity and crack fractal dimension from the denoised signal and calculate the layer health index;

[0056] Life prediction module: Based on pore complexity, crack fractal dimension and layer health index, calculate the damage evolution of the coating to obtain the damage field and predict the remaining life;

[0057] Scanning measurement optimization module: Optimize the OCT scanning strategy according to the predicted remaining life to ensure the efficient completion of the scanning task and timely detection of problems.

[0058] It should be noted that the high-temperature OCT monitoring system for the thermal barrier coating of an aero-engine provided in the above embodiments and the high-temperature OCT monitoring method for the thermal barrier coating of an aero-engine provided in the above embodiments belong to the same concept. The specific manners in which each module and unit perform operations have been described in detail in the method embodiments, and will not be elaborated herein. The high-temperature OCT monitoring system for the thermal barrier coating of an aero-engine provided in the above embodiments can, in practical applications, allocate the above functions to different functional modules as needed, that is, divide the internal structure of the system into different functional modules to complete all or part of the functions described above. No limitation will be imposed herein either.

[0059] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of the present application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer, or a data storage device such as a server or data center that contains one or more collections of available media. The available media can be magnetic media (such as floppy disks, hard disks, magnetic tapes), optical media (such as DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0060] It should be understood that the term "and / or" in this document is merely a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. Here, A and B can be singular or plural. Additionally, the character " / " in this document generally represents an "or" relationship between the associated objects before and after, but it may also represent an "and / or" relationship, which can be specifically understood with reference to the context before and after.

[0061] In this application, "at least one" means one or more, and "a plurality of" means two or more. "At least one of the following" or a similar expression means any combination of these items, including any combination of single item or plural items. For example, at least one of a, b, or c can represent: a, b, c, a - b, a - c, b - c, or a - b - c, where a, b, and c can be single or multiple.

[0062] It should be understood that in various embodiments of this application, the magnitudes of the serial numbers of the above - mentioned processes do not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of this application.

[0063] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of this application.

[0064] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0065] In several embodiments provided in this application, it should be understood that the disclosed system can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some interfaces. The indirect coupling or communication connection of devices or units can be in an electrical, mechanical, or other form.

[0066] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0067] In addition, in each embodiment of the present application, each functional unit may be integrated into one processing unit, may exist physically alone for each unit, or two or more units may be integrated into one unit.

[0068] If the described function is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, may be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in each embodiment of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0069] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present application can easily think of changes or substitutions, which should all be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A high-temperature OCT monitoring method for thermal barrier coatings of aeroengines, characterized in that Including: Collect coating material data, calculate the simulated intensity distribution of light in the material, and judge the validity of the actually collected input signal according to the signal verification and re - collection protocol; Conduct noise modeling and data processing on the retained input signal to obtain a true denoised signal; Extract the pore complexity and crack fractal dimension from the denoised signal and calculate the layer health index, including: Pore complexity calculation logic: , where is the pore complexity, is the pore boundary length, is the total pore boundary length, is the number of pores; Crack fractal dimension calculation logic: , where is the crack fractal dimension, is the number of grids required to cover the crack, 、 are two grid sizes; Layer health index calculation logic: , where is the layer health index, 、 are control parameters, 、 are tiny constants; Based on pore complexity, crack fractal dimension, and layer health index, calculate the damage evolution of the coating to obtain a damage field and predict the remaining life, including: damage field calculation logic: , where is the damage field, is the diffusion coefficient related to pore complexity, is the convergence coefficient related to crack fractal dimension, is the pore complexity, is the crack fractal dimension, is the Laplace operator, is the influence coefficient related to the layer health index; Remaining life calculation logic: , where is the remaining life, is the decay factor, Initial time, is the maximum usage time; Optimize the OCT scanning strategy according to the predicted remaining life to ensure efficient completion of the scanning task and timely detection of problems.

2. The high-temperature OCT monitoring method for the thermal barrier coating of an aeroengine according to claim 1, characterized in that, The collected coating material data includes: absorption coefficient , initial light source intensity distribution , temperature , starting position of light , input signal ; Simulation intensity distribution calculation logic: , where is the simulated intensity distribution of light in the material, is the wavelength of light, is the path length of light propagation, is the starting position, is the initial light source intensity distribution.

3. A high-temperature OCT monitoring method for the thermal barrier coating of an aero-engine according to claim 1, characterized in that, Signal verification and resampling protocol calculation logic: , is the difference metric between the input signal and the analog intensity distribution, is the input signal, is the norm, is the hyperparameter; Signal verification and resampling protocol decision logic: , where is a set threshold value.

4. A high-temperature OCT monitoring method for thermal barrier coatings of aeroengines according to claim 3, characterized in that, Denoising signal calculation logic: , where is the denoising signal, is the input signal, is the fractional Fourier transform of the input signal, is the norm of the signal , is the regularization coefficient, is the noise, is the smoothing parameter, is the Sobolev space with the smoothing parameter, is the fractional Sobolev norm of the noise.

5. A high-temperature OCT monitoring method for a thermal barrier coating of an aero-engine according to claim 1, characterized in that Scan strategy optimization calculation logic: ,in, is the scanning density, is a very small constant, To adjust the constants; adjust the scanning strategy according to the scanning density to minimize the total scanning time while ensuring that the critical areas of the coating are adequately inspected.

6. An aeroengine thermal barrier coating high-temperature OCT monitoring system for implementing the aeroengine thermal barrier coating high-temperature OCT monitoring method according to any one of claims 1-5, characterized in that, Including: Simulation calculation module: Collect coating material data, calculate the simulated intensity distribution of light in the material, and judge the validity of the actually collected input signal according to the signal verification and re - collection protocol; Signal denoising module: Conduct noise modeling and data processing on the retained input signal to obtain a true denoised signal; Feature extraction module: Extract pore complexity and crack fractal dimension from the denoised signal and calculate the layer health index; Life prediction module: Based on pore complexity, crack fractal dimension, and layer health index, calculate the damage evolution of the coating to obtain a damage field and predict the remaining life; Scanning measurement optimization module: Optimize the OCT scanning strategy according to the predicted remaining life to ensure efficient completion of the scanning task and timely detection of problems.

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