@inproceedings{6986b7f292c8445b8826bf43eb41b65c,
title = "Vibration Analysis for Diagnosis of Tribo-Dynamic Interaction in Journal Bearings",
abstract = "Journal bearing is a very critical component used in supporting transmission rotors of various powertrain systems. It is vulnerable to lubrication failure under carrying heavy transmission load capacity at high rotational speeds. Thus, monitoring of tribo-dynamics interaction within the micro-surface collisions can provide reliable information for fault diagnosis in journal bearings. Vibration analysis has well settled as a non-destructive and informative method for online condition monitoring of many rotating machineries. This paper aims to assess the induced friction and the tribological performance of the lubricant oil film between the contact collisions of journal bearing. It is based on using vibration analysis to evaluate the tribo-dynamics performance between the micro-surface,s asperities of the journal and the bush bearing. Thereby, valuable information can be provided for monitoring and diagnosis of the tribological performance and lubrication regime in journal bearings.",
keywords = "Condition monitoring, Fault diagnosis, Journal bearing, Oil film",
author = "Brethee, {Khaldoon F.} and Jiaojiao Ma and Ibrahim, {Ghalib R.} and Fengshou Gu and Ball, {Andrew D.}",
note = "Funding Information: Acknowledgment. This article is supported by the Joint Fund of Guangdong Basic and Applied Basic Research Foundation and Foshan City (2021A1515110767), and the authors would like to acknowledge the University of Huddersfield, UK, Foshan University, China and the University of Anbar, Iraq. Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference of The Efficiency and Performance Engineering Network 2022, TEPEN 2022 ; Conference date: 18-08-2022 Through 21-08-2022",
year = "2023",
month = mar,
day = "4",
doi = "10.1007/978-3-031-26193-0_77",
language = "English",
isbn = "9783031261923",
volume = "129",
series = "Mechanisms and Machine Science",
publisher = "Springer, Cham",
pages = "877--888",
editor = "Hao Zhang and Yongjian Ji and Tongtong Liu and Xiuquan Sun and Ball, {Andrew David}",
booktitle = "Proceedings of TEPEN 2022",
address = "Switzerland",
}
