High-temperature OCT monitoring method and system for thermal barrier coating of aero-engine

Abstract

The invention discloses a high-temperature OCT (optical coherence tomography) monitoring method and system for a thermal barrier coating of an aero-engine, and relates to the field of aerospace and material science. The method comprises the following steps: collecting data of a coating material, calculating simulated intensity distribution of light in the material, and judging the effectiveness of an actually collected input signal according to a signal verification and recollection protocol; performing noise modeling and data processing on the reserved input signal to obtain a real de-noised signal; extracting pore complexity and crack fractal degree according to the de-noised signal, and calculating a layer health index; based on the pore complexity, the crack fractal degree and the layer health index, the damage evolution of the coating is calculated to obtain a damage field, and the remaining life is predicted; the OCT scanning strategy is optimized according to the predicted remaining life, it is ensured that the scanning task is completed efficiently, and problems are found in time. Through noise removal, coating health assessment, damage field calculation and residual life prediction, a scanning strategy is optimized, the accuracy, efficiency and reliability of coating monitoring are improved, and a maintenance decision is effectively supported.

Description

Technical Field

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

[0002] The thermal barrier coatings of aeroengines are important materials 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 coatings, resulting in damage such as cracks and pores in the coatings, thereby reducing the safety and reliability of the engines. Therefore, regularly monitoring the state of thermal barrier coatings and predicting their remaining life are crucial for the maintenance and use of engines.

[0003] Optical coherence tomography is a non-contact, high-resolution imaging technology that is widely used in the biomedical field and has potential in material detection and coating monitoring. By performing high-resolution imaging 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 thermal barrier coatings of aeroengines 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, including: 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; Based on the pore complexity, crack fractal dimension, and layer health index, calculating the damage evolution of the coating to obtain a damage field and predicting the remaining life; Optimize the OCT scanning strategy according to the predicted remaining life to ensure efficient completion of the scanning task and timely detection of problems.

[0007] 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: , wherein 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.

[0008] The present invention is further configured such that the signal verification and re - acquisition 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 re - acquisition protocol decision logic: , wherein is the set threshold.

[0009] The present invention is further configured such that the denoising signal calculation logic: , wherein 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.

[0010] The present invention is further configured such that the pore complexity calculation logic: , wherein 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: , wherein is the crack fractal degree, The number of meshes required to cover the crack, , There are two grid sizes.

[0011] 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.

[0012] 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.

[0013] 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.

[0014] 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.

[0015] The present invention also provides a high-temperature OCT monitoring system for thermal barrier coatings of aircraft engines, the system comprising: 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; Signal denoising module: performs noise modeling and data processing on the retained input signal to obtain the real denoised signal; Feature extraction module: extracts pore complexity and crack fractal degree based on denoised signals and calculates layer health index; Life prediction module: Based on pore complexity, crack fractal degree and layer health index, the damage evolution of the coating is calculated to obtain the damage field and predict the remaining life; Scanning measurement optimization module: Optimizes OCT scanning strategy based on the predicted remaining life to ensure efficient completion of scanning tasks and timely detection of problems.

[0016] The present invention provides a high-temperature OCT monitoring method and system for a thermal barrier coating of an aero-engine. The method collects coating material data, calculates the simulated intensity distribution of light in the material, and judges the validity of the input signal actually collected according to the signal verification and re-collection protocol; performs noise modeling and data processing on the retained input signal to obtain a true denoised signal; extracts pore complexity and crack fractal degree according to the denoised signal and calculates the layer health index; calculates the damage evolution of the coating based on the pore complexity, crack fractal degree and layer health index to obtain a damage field and predict the remaining life; optimizes the OCT scanning strategy according to the predicted remaining life to ensure efficient completion of the scanning task and timely discovery of problems, and the beneficial effects produced include: Effective noise removal and signal verification: The present invention uses fractional Fourier transform and regularization technology for noise modeling and denoising, which can effectively remove noise interference introduced by high temperature environment or other factors, thereby obtaining a more realistic denoised signal and ensuring the accuracy of monitoring data. At the same time, through signal verification and re-collection protocols, the effectiveness of the signal can be detected and corrected in real time during the actual collection process, further improving the reliability of the signal.

[0017] Multi-dimensional coating health assessment: By extracting multi-dimensional features such as pore complexity and crack fractal degree, the present invention can comprehensively assess the health status of the coating and obtain more comprehensive damage information. The layer health index, as a comprehensive evaluation indicator, can more intuitively reflect the degree of damage to the coating, providing an important basis for subsequent damage evolution prediction and remaining life assessment.

[0018] Damage field calculation and accurate prediction of remaining life: Based on the pore complexity, crack fractal degree and layer health index of the coating, the present invention calculates the damage field of the coating and predicts the remaining life, which can determine in advance whether the coating has reached the critical point of its service life and guide subsequent maintenance and replacement decisions. The remaining life prediction results provide data support for efficient management of the use of the coating.

[0019] Optimize scanning strategy and improve detection efficiency: Based on the prediction results of the remaining life, the OCT scanning strategy is optimized so that the scanning density can be dynamically adjusted according to the degree of damage to the coating. This method can minimize the scanning time and improve the detection efficiency while ensuring that the key areas are adequately detected. This improves the detection accuracy on the one hand and reduces the detection cost and time expenditure on the other.

[0020] The above description is only an overview of the technical solution of the present application. In order to understand the technical means of the present application more clearly, 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 the present application more obvious and understandable, the following specific embodiments of the present application are specifically given. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] 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 drawings in the following description 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: Figure 1 is a flowchart of a method for monitoring the high-temperature OCT of a thermal barrier coating of an aeroengine shown in an exemplary embodiment of the present invention; Figure 2 is a schematic structural diagram of a system for monitoring the high-temperature OCT of a thermal barrier coating of an aeroengine shown in an exemplary embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] The following will describe 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 explaining the present invention, rather than for limiting the protection scope of the present invention.

[0023] It should be noted that the drawings 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 drawings, rather than being drawn according to the number, shape and size of the components in actual implementation. The type, quantity and ratio of each component in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0024] In the following description, a large number of details are discussed 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

[0025] A method for monitoring the high-temperature OCT of a thermal barrier coating of an aeroengine, as Figure 1 shown, includes: Collect coating material data, calculate the simulated intensity distribution of light in the material, and determine the validity of the actually collected input signal according to the signal verification and re-collection protocol; Perform 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; 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; Optimize the OCT scanning strategy according to the predicted remaining life to ensure efficient completion of the scanning task and timely detection of problems.

[0026] 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 initial light source intensity distribution. Specifically, the absorption coefficient describes the degree to which light is absorbed during propagation in the material, and it is related to the wavelength of light and the temperature of the material . When the value of the absorption coefficient is large, it means that the material can effectively absorb light; the initial light source intensity distribution describes the light intensity distribution at the light source position. The light source emits light on or near the coating surface, 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 light source position, which is a coordinate; the simulated intensity distribution represents the intensity change per unit path length during light propagation, aiming to predict the change trend of the light signal at a specific position, predict signal attenuation, reflection, scattering, etc. By comparing the actually collected signal with the simulated intensity distribution, it is determined whether the actually collected signal is a valid signal; represents the light propagation path, which is the path length from the starting position to the current position; is an exponential decay 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.

[0027] The present invention is further configured such that the signal verification and re-collection protocol calculation logic: , is a difference metric between the input signal and the simulated intensity distribution, is the input signal; is a norm, is a hyperparameter; Signal verification and resampling protocol decision logic: , where is a set threshold. Specifically, the input signal is based on the actual data collected by the sensor, and invalid data may be collected due to factors such as sensor damage and environmental changes. 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 error between the collected data and the predicted simulated intensity is too large, it proves that the data is invalid; represents the difference between the input signal and the predicted signal, quantifying the deviation between the actual signal and the expected signal. The norm is used to calculate this difference. The common norm is the Euclidean distance, and 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 indicates that the signal quality is poor and needs to be recollected.

[0028] The present invention is further set to the denoising signal calculation logic: , where is the denoising signal, is the 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. Specifically, the denoising 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. It is the qualified input signal retained after signal verification and resampling protocol determination, and the numerical data range will vary according to the experimental settings; Denotes the fractional Fourier transform, a transform used in signal processing, which is a generalization of the traditional Fourier transform and can better handle 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, which is used to measure the sparsity or degree of variation 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 of the numerical value; the fractional Sobolev norm of the noise measures the smoothness of the noise in a certain space, taking into account 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 handle the "derivative information" of signals and is commonly used in signal processing and partial differential equations.

[0029] 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, , are two grid sizes. Specifically, the complexity of the pores reflects the complexity of the pore morphology in the material. The calculation method evaluates through the length distribution of the pore boundaries. The more complex the boundary, the higher the pore complexity. The more uneven the pore boundary length, the more complex the pore morphology; 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 and is counted through the connected region analysis method in image processing; the fractal dimension of the crack It is used to quantify the complexity of crack morphology. The fractal dimension is calculated by the number of grids required to cover the crack at different scales, reflecting the self-similar characteristics of the crack morphology. The stronger the self-similarity, the larger the fractal dimension; and are respectively and the number of grids required to cover the crack at the scales of and which are used to represent how many grids are needed to completely cover the contour of the crack at a given scale. The higher the complexity of the crack, the more grids are required to cover it; and are usually taken as

[0030] The present invention is further set as the calculation logic of the layer health index: wherein is the layer health index, and are control parameters, and are tiny constants. Specifically, the layer health index is a comprehensive index that reflects the damage degree of the material at the microscopic level and evaluates the health state of the material by considering the pore complexity and the crack fractal dimension. The value of the layer health index ranges 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; and are two control parameters 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 their values are between and ; The tiny constants and are very tiny constants used to avoid division by zero. The core idea of the formula is to combine the pore complexity and the crack fractal dimension , and apply a weighted logarithmic model, and finally use the sigmoid function to uniformly transform the influence of the two into a health index ranging from 0 to 1.

[0031] The present invention is further set as the calculation logic of the damage field: wherein is the damage field, is the diffusion coefficient related to the pore complexity, is the convergence coefficient related to the 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 the position and time , the value is , represents no damage, represents complete damage; the diffusion coefficient related to pore complexity represents the influence of pores on damage propagation, and its value range is , 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 , 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. 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 , 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 coating damage field. The greater the complexity of 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; represents the influence of crack fractal dimension on damage field convergence. When damage begins to develop, the presence of cracks will exacerbate damage propagation, especially in areas with a higher crack fractal dimension. The non - linear term ensures that when the damage value approaches 1, the effect of cracks will gradually decrease; represents the correction effect of health score on the evolution of coating damage field. When the coating is in a relatively healthy state, the damage propagation will be inhibited. This term can correct the damage evolution process and slow down the exacerbation of damage, especially when the health score of the coating is relatively high.

[0032] The present invention is further set as the remaining life calculation logic: , where is the remaining life, is the attenuation factor, is the initial time, is the maximum usage time. Specifically, the remaining life represents 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.

[0033] 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 of scanning when 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 more areas covered. The higher the scanning density, the more severe the coating damage areas need to be scanned more frequently to ensure the accuracy of the detection. At the same time, the areas with shorter remaining life also need to increase the scanning frequency. Minimum constant To avoid damage to the field If the score is 0, the value is ; Adjustment constant Used to adjust the scale of the scan density value. The value range is , a smaller value will result in a lower scanning density, while a larger value will increase the scanning frequency; It shows the relationship between scanning density and coating damage degree and remaining life. Embodiment 2

[0034] See also Figure 2, the exemplary high-temperature OCT monitoring system for an aero-engine thermal barrier coating includes: 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: Perform 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.

[0035] It should be noted that the high-temperature OCT monitoring system for an aero-engine thermal barrier coating provided in the above embodiment and the high-temperature OCT monitoring method for an aero-engine thermal barrier coating provided in the above embodiment belong to the same concept. The specific ways in which each module and unit perform operations have been described in detail in the method embodiment and will not be repeated here. In actual application, the high-temperature OCT monitoring system for an aero-engine thermal barrier coating provided in the above embodiment can, according to needs, allocate the above functions to different functional modules, that is, divide the internal structure of the system into different functional modules to complete all or part of the functions described above. This is not limited here either.

[0036] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. 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, the processes or functions described in the embodiments of the present application are generated in whole or in part. 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 via wired (such as infrared, wireless, microwave, etc.) means. 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 medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0037] 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 there can be three relationships. 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. In addition, 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.

[0038] In the present application, "at least one" means one or more, and "a plurality" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single items 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.

[0039] It should be understood that in various embodiments of the present application, the sequence numbers of the above processes do not indicate 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 the present application.

[0040] 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 to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0041] Those skilled in the art can clearly understand that for the convenience and brevity 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.

[0042] In several embodiments provided in this application, it should be understood that the disclosed systems 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, and there may be other division methods in actual implementation. 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 couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0043] The units described as separate components may or may not be physically separated, and 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.

[0044] In addition, the functional units in each embodiment of this application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0045] When the above-mentioned functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art or a part of this technical solution can 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 various embodiments of this 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.

[0046] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed by this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claimed rights.

Claims

1. A high temperature OCT monitoring method for thermal barrier coatings of aircraft engines, characterized in that: include: Collect coating material data, calculate the simulated intensity distribution of light in the material, and determine the validity of the actual collected input signal based on the signal verification and re-collection protocol; Perform noise modeling and data processing on the retained input signal to obtain the real denoised signal; Extract the pore complexity and crack fractal degree based on the denoised signal and calculate the layer health index; Based on pore complexity, crack fractal degree and layer health index, the damage evolution of the coating is calculated to obtain the damage field and predict the remaining life. Optimize OCT scanning strategies based on the predicted remaining lifespan to ensure efficient completion of scanning tasks and timely detection of problems.

2. The high-temperature OCT monitoring method for thermal barrier coatings of aircraft engines according to claim 1, characterized in that: The collected coating material data include: Absorption coefficient , the initial intensity distribution of the light source ,temperature , the starting position of the light , input signal ; Calculation logic of simulation intensity distribution: ,in, 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 intensity distribution of the light source.

3. The high temperature OCT monitoring method for thermal barrier coating of an aircraft engine according to claim 1, characterized in that: 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 the norm, is a hyperparameter; signal verification and re-sampling protocol decision logic: ,in, To set the threshold.

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

5. The high-temperature OCT monitoring method for thermal barrier coatings of aircraft engines according to claim 1, characterized in that: Porosity complexity calculation logic: ,in, 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, , There are two grid sizes.

6. The high-temperature OCT monitoring method for aero-engine thermal barrier coating according to claim 5, characterized in that: Calculation logic of level health index: ,in, is the level health index, , To control the parameters, , is a tiny constant.

7. The high-temperature OCT monitoring method for thermal barrier coatings of aircraft engines according to claim 1, characterized in that: Damage field calculation logic: ,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.

8. The high-temperature OCT monitoring method for thermal barrier coatings of aircraft engines according to claim 7, characterized in that: Remaining life calculation logic: ,in, is the remaining life, is the attenuation factor, Initial time, The maximum usage time.

9. The high-temperature OCT monitoring method for thermal barrier coatings of aircraft engines 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.

10. A high-temperature OCT monitoring system for a thermal barrier coating of an aircraft engine, used to implement a high-temperature OCT monitoring method for a thermal barrier coating of an aircraft engine according to any one of claims 1 to 9, characterized in that: include: 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; Signal denoising module: performs noise modeling and data processing on the retained input signal to obtain the real denoised signal; Feature extraction module: extracts pore complexity and crack fractal degree based on denoised signals and calculates layer health index; Life prediction module: Based on pore complexity, crack fractal degree and layer health index, the damage evolution of the coating is calculated to obtain the damage field and predict the remaining life; Scanning measurement optimization module: Optimizes OCT scanning strategy based on the predicted remaining life to ensure efficient completion of scanning tasks and timely detection of problems.

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