An Acoustic Emission Signal Analysis Method for Rapid Identification of Ceramic Coating Failure Types

Abstract

The invention relates to an acoustic emission signal analysis method for quickly identifying the failure type of a ceramic coating. Firstly, the acoustic signal generated during the coating test is collected, the characteristic parameters of the signal are extracted, and the acoustic emission signal is clustered and analyzed, then the signal closest to each cluster center is selected for wavelet transformation, and the energy spectrum coefficient is extracted as a pattern recognition According to the characteristic parameters of the energy distribution, the coating damage type is identified. Finally, the number of acoustic emission events of various types of damage is counted, and the obtained data are combined with the external load-displacement curve to obtain the critical load and the corresponding signal frequency of the coating failure process, so as to fully understand the failure process of the ceramic coating under the external load . The invention provides a direct basis for the research on the failure mechanism of the ceramic coating, and has great significance for the life prediction of the coating in normal service.

Description

technical field [0001] The invention relates to an acoustic emission signal analysis method for quickly identifying the failure type of a ceramic coating. Background technique [0002] Ceramic coating refers to the coating material is ceramic spray coating, has been widely used in high temperature superconductivity, electronics industry, aerospace and other fields. It can effectively reduce the impact of the working environment on the base material, thereby optimizing the performance of the component. At present, the mechanical properties of ceramic coatings and their damage evolution are an important research topic. [0003] As a dynamic non-destructive testing method, acoustic emission testing technology has been widely used in damage testing of various types of materials. Although the damage mode and damage process of ceramic coatings are very complex, acoustic emission signals will be generated during the damage process. Therefore, the real-time monitoring of ceramic c...

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Problems solved by technology

Chinese patent (Application No.: CN201310341961.4) discloses a method for automatic recognition of acoustic emission signals of thermal barrier coatings, which is characterized by performing wavelet packet transformation on the collected acoustic signals and extracting energy spectral coefficients, and then constructing a BP artificial neural network , and finally identified the damage type corresponding to the acoustic emission signal after multiple trainings. This method effectively improves the problem of heavy workload on the basis of the previous patent, but still needs to do wavelet transform and energy spectrum for each signal waveform The extraction process is more complex

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