Condition Monitoring of Lubricant Shortage for Gearboxes Based on Compressed Thermal Images

doi:10.1007/978-3-030-57745-2_76

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	Condition Monitoring of Lubricant Shortage for Gearboxes Based on Compressed Thermal Images
	Tang, Xiaoli 2; Li, Ke 3; van Vuuren, Pieter A.1; Guo, Junfeng 4; Otuyemi, Funso 2; Gu, Fengshou 2; Ball, Andrew D.2
	2020
会议日期	September 3, 2019 - September 5, 2019
会议地点	Huddersfield, United kingdom
关键词	Convolutional neural networks Infrared imaging Compressive sensing Gearbox systems Heat distribution Inside friction Machine condition monitoring Power transmission component Storage spaces Temperature field distribution
卷号	166
DOI	10.1007/978-3-030-57745-2_76
页码	927-938
英文摘要	Condition monitoring of gearboxes is a crucial task because gearboxes are essential power transmission components whose failure can lead to a catastrophic breakdown of machines. The common faults of a gearbox system, such as tooth breakage, wear, scuffing, spalling and lubricant starvation, have a significant influence on the inside friction and heat dissipation, and consequently, it changes the temperature field distribution within the gearbox. Thermal imaging is a promising technique in the field of machine condition monitoring via the variation detection of heat distribution. However, the thermal images require significant storage space, a high transfer rate and high-speed hardware. To achieve intelligent and efficient machine condition monitoring with the advanced thermal imaging technique, this study reduces the dimensionality of thermal images of a two-stage gearbox system via compressive sensing (CS) and classifies three different lubricant shortage conditions based on the compressed features with an intelligent convolutional neural network (CNN). The experimental results demonstrate that the compressed thermal images contain sufficient fault information and are capable of diagnosing the inadequate lubrication faults for gearboxes operating at various working conditions. © 2020, Springer Nature Switzerland AG.
会议录	Smart Innovation, Systems and Technologies
会议录出版者	Springer Science and Business Media Deutschland GmbH
语种	英语
ISSN号	21903018
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/118199]
专题	机电工程学院
作者单位	1.School of Electrical, Electronic and Computer Engineering, North-West University, Potchefstroom; 2520, South Africa; 2.Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield; HD1 3DH, United Kingdom; 3.Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, School of Mechanical Engineering, Jiangnan University, Wuxi; Jiangsu; 214122, China; 4.School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou, China
推荐引用方式 GB/T 7714	Tang, Xiaoli,Li, Ke,van Vuuren, Pieter A.,et al. Condition Monitoring of Lubricant Shortage for Gearboxes Based on Compressed Thermal Images[C]. 见:. Huddersfield, United kingdom. September 3, 2019 - September 5, 2019.