The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 19, 2023
Filed:
Mar. 06, 2020
Dalian University of Technology, Liaoning, CN;
Yongqing Wang, Liaoning, CN;
Bo Qin, Liaoning, CN;
Kuo Liu, Liaoning, CN;
Mingrui Shen, Liaoning, CN;
Mengmeng Niu, Liaoning, CN;
Honghui Wang, Liaoning, CN;
Lingsheng Han, Liaoning, CN;
DALIAN UNIVERSITY OF TECHNOLOGY, Liaoning, CN;
Abstract
A prediction method of part surface roughness and tool wear based on multi-task learning belong to the file of machining technology. Firstly, the vibration signals in the machining process are collected; next, the part surface roughness and tool wear are measured, and the measured results are corresponding to the vibration signals respectively; secondly, the samples are expanded, the features are extracted and normalized; then, a multi-task prediction model based on deep belief networks (DBN) is constructed, and the part surface roughness and tool wear are taken as the output of the model, and the features are extracted as the input to establish the multi-task DBN prediction model; finally, the vibration signals are input into the multi-task prediction model to predict the surface roughness and tool wear.