METHOD FOR PREDICTING CLAMP FORCE USING CONVOLUTIONAL NEUTRAL NETWORK METHOD

METHOD FOR PREDICTING CLAMP FORCE USING CONVOLUTIONAL NEUTRAL NETWORK METHOD

A method for predicting a clamp force using a convolutional neutral network method 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 artifi...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: PARK, Jun-Hong, GWON, Jae-Soo, KIM, Wan-Seung, TOH, Gyung-Min
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
MEASURING
MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER,MECHANICAL EFFICIENCY, OR FLUID PRESSURE
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
TESTING
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Beschreibung
Zusammenfassung:A method for predicting a clamp force using a convolutional neutral network method 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.