Diamond press anvil crack online detection method based on acoustic emission signal

An acoustic emission signal and detection method technology, which is applied in the direction of material analysis, computer parts, instruments, etc., using acoustic emission technology, can solve the problems of no establishment of intelligent identification, no self-learning, limited scope of application, etc., to achieve the benefit of online Application, fast calculation speed, and the effect of improving accuracy

Active Publication Date: 2017-05-31
ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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Problems solved by technology

[0007] In the above two patents, the processing process of the acquired signal data does not establish an intelligent identification mode, there is no self-learning ability, and its scope of application is limited. For the diamond press anvil, the amount of data i

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  • Diamond press anvil crack online detection method based on acoustic emission signal
  • Diamond press anvil crack online detection method based on acoustic emission signal
  • Diamond press anvil crack online detection method based on acoustic emission signal

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Embodiment Construction

[0089] Embodiments of the present invention are described in detail below, and the present embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are provided, but the protection scope of the present invention is not limited to the following embodiments.

[0090] A method for on-line detection of cracks in the top hammer of a diamond press based on acoustic emission signals, the process of which is as follows figure 1 As shown, the BSA-SVM intelligent detection method and the K-SPWVD time-frequency signal analysis method are used comprehensively to detect anvil cracks. The specific steps are as follows:

[0091] Step 1: Install an acoustic emission sensor on an anvil known to have cracks, first collect acoustic emission signals from an anvil known to have cracks, preprocess the signal collected by the sensor through a circuit, and convert the preprocessed The signal is input into t...

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Abstract

The invention discloses a novel diamond press anvil crack online detection method. By using a backtracking search optimization algorithm (BSA), a support vector machine model parameter is optimized and selected to avoid blindness of parameter selection; in the application of a K-SPWVD method, a template matching method and K-S inspection are utilized to avoid complicated time-frequency analysis of each signal to be detected and enhance the efficiency of the algorithm; and good time-frequency analysis performance of smooth pseudo Wigner-Ville distribution is also sufficiently unitized. The novel diamond press anvil crack online detection method disclosed by the invention has high accuracy and high computing speed and is beneficial for online detection of diamond press anvil cracks.

Description

technical field [0001] The invention relates to the field of hard alloy defect detection, in particular to an online detection method for cracks of a top hammer of a diamond press based on acoustic emission signals. Background technique [0002] Synthetic diamond has high hardness and good wear resistance, and can be widely used in machining industries such as cutting, grinding, drilling, and electronic industries such as semiconductors. my country's synthetic diamond production ranks first in the world, mainly using six-sided top presses for production. The anvil of the diamond press is made of hard alloy material, which is a brittle material, and is prone to cracks under high temperature and high pressure environment. If the crack is not detected in time, it will often cause a hammer collapse accident and bring huge economic losses to the enterprise. [0003] There are two main methods for detecting cracks in the top hammer of a traditional diamond press. One is to use a...

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Application Information

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IPC IPC(8): G01N29/14G06K9/62
CPCG01N29/14G06F18/2411
Inventor 杜文辽王宏超孟凡念赵峰岳磊王良文李安生李浩刘成良
Owner ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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