A novel cyclic-correntropy based indicator for gear wear monitoring. (July 2022)

• Record Type: Journal Article
• Authors: Feng, Ke; Ji, J.C.; Li, Yifan; Ni, Qing; Wu, Hongkun; Zheng, Jinde
• Is Part Of: Tribology international. Volume 171(2022)
• Publication Date: 2022-07
• Subjects: Gearbox -- Wind turbine -- Vibration -- Gear wear -- Surface degradation; Tribology -- Periodicals; 621.89
• DOI: 10.1016/j.triboint.2022.107528
• Languages: English
• ISSNs: 0301-679X

Abstract

Abstract: Gearbox is a vulnerable component of a turbine's drivetrain and plays a vital role in the power transmission in wind turbines. Wind turbines usually operate under harsh working environments, such as in deserts, oceans, and on hills. The adverse operating conditions (such as inevitable fluctuating wind loads and speeds) make the gearbox transmission prone to reliability degradation and premature failure. Gear wear is a common and unavoidable surface degradation phenomenon during the lifespan of the gear transmission system. The gear wear propagation can result in severe failures, such as gear surface spalling, gear root crack, and gear tooth breakage, all of which could lead to the failure of the drivetrain system of wind turbines and bring unexpected economic loss, even serious accidents. Thus, it is crucial to monitor the gear wear propagation progression in order to enable reliable and safe operation. To this end, this paper develops a novel vibration-based health indicator to monitor the gear surface degradation induced by gear wear progression. With the help of the novel indicator developed, the health status of the gearbox can be well evaluated and thus predictive maintenance-based decisions can be made to reduce maintenance costs and minimize gearbox failures in wind turbines. A series of endurance tests under different lubrication conditions and operational conditions are carried out to verify the effectiveness of the gear wear monitoring indicator.