Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Yunhan Kim"'
Publikováno v:
International Journal of Prognostics and Health Management, Vol 11, Iss 1 (2020)
A method is described in this paper for crack propagation prediction using only the initial crack length of the target specimen. The proposed method consists of two parts: (1) crack length estimation using support vector regression (SVR) and (2) crac
Externí odkaz:
https://doaj.org/article/babbcad807bc4de4a3c945098af2711a
Publikováno v:
Journal of Intelligent Manufacturing. 33:1813-1828
This research proposes a method for machining quality monitoring (MQM) in laser-assisted micro-milling (LAMM) of glass. In tool-based mechanical processing including LAMM, the machining quality is generally affected by machining parameters and tool c
Publikováno v:
ISA transactions. 128
Recently, in various industrial fields, including automated manufacturing processes, industrial robots are becoming indispensable equipment; these robots perform repetitive tasks and increase the productivity of the production line with consistent pr
Publikováno v:
Journal of Sound and Vibration. 453:253-267
Conventional methods used for fault detection of planetary gears are usually targeted for use with gears under constant speed conditions. Recently, some methods have been developed using an order-tracking method, or wavelet transform (WT), to detect
Publikováno v:
Reliability Engineering & System Safety. 184:181-192
Fault diagnosis aims to diagnose system failures and to enable timely maintenance that, in turn, can minimize system maintenance costs. In order to evaluate and maximize the benefits from fault diagnosis, the life‐cycle maintenance cost should be a
Publikováno v:
Mechanical Systems and Signal Processing. 117:347-360
Most existing studies on vibration-based fault detection for planetary gears were developed and tested under constant speed conditions. Recently, some methods were developed to consider the variability of the rotating speed; however, these methods ha
Publikováno v:
Mechanical Systems and Signal Processing. 167:108575
This research proposes a newly designed convolutional neural network (CNN) for gearbox fault diagnostics. A conventional CNN is a deep-learning model that offers distinctive performance for analyzing two-dimensional image data. To exploit this abilit
Publikováno v:
Mechanical Systems and Signal Processing. 167:108524
This paper proposes a new feature extraction method using time–frequency image data for fault diagnosis of variable-speed rotating machinery. Time-frequency representation (TFR) is widely used to analyze time-varying behaviors of rotating machinery
Publikováno v:
IEEE Transactions on Industrial Electronics. 65:5903-5912
Vibration-based fault diagnosis of a planetary gearbox is challenging due to the revolving planet gears inducing modulation of vibration signals. For accurate fault diagnosis, researchers have suggested that vibration signals should be extracted by w
Publikováno v:
Annual Conference of the PHM Society. 11
This paper explains the proposed method of Team SeouLG in detail for crack length estimation and prediction based on wave signals. The proposed method consists of two parts; (1) crack length estimation using support vector regression (SVR), (2) crack