Virtual sensing for gearbox condition monitoring based on kernel factor analysis

• Main Authors: Wang, Jin-Jiang, Zheng, Ying-Hao, Zhang, Lai-Bin, Duan, Li-Xiang, Zhao, Rui
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering::Electrical and electronic engineering; Gearbox Condition Monitoring; Virtual Sensing
• Online Access: https://hdl.handle.net/10356/88816; http://hdl.handle.net/10220/45967
• Institution: Nanyang Technological University

ibration and oil debris analysis are widely used in gearbox condition monitoring as the typical indirect and direct sensing techniques. However, they have their own advantages and disadvantages. To better utilize the sensing information and overcome its shortcomings, this paper presents a virtual se...