Method for predicting clamp force using convolutional neural network
AssigneesHyundai Motor Company, Kia Motors Corporation, Iucf-Hyu (Industry-University Cooperation Foundation Hanyang University)
InventorsJae-Soo Gwon, Gyung-Min Toh, Wan-Seung Kim, Jun-Hong Park
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Abstract
A method for predicting a clamp force using a convolutional neural network includes: generating a cepstrum image from a signal processing analysis apparatus; extracting a characteristic image by multiplying a predetermined weight value to pixels of the generated cepstrum image through artificial intelligence learning; extracting, as a representative image, the largest pixel from the extracted characteristic image; synthesizing an image by synthesizing the extracted representative image information; and predicting a clamp force by comparing the synthesized image with a predetermined value.
Claims7
A method for predicting a clamp force using a convolutional neural network, the method comprising:
- generating a cepstrum image containing frequency change information as a pixel value and processed from measured data from a component by a signal processing analysis apparatus;
- extracting a characteristic image multiplied by a predetermined weight value to pixels of the generated cepstrum image through artificial intelligence learning;
- extracting, as a representative image, a largest pixel from the extracted characteristic image;
- synthesizing an image by synthesizing the extracted representative image by a dense layer;
- and
- predicting a clamp force by comparing a similarity of the synthesized image with a predetermined value;
- indicating the predicted clamp force having a highest similarity;
- and
- selecting a bolt based on the predicted clamp force.
Dependencies are inferred from the claim text.