@inproceedings{9f69b8f303bc442c876976df8699f438,
title = "Reliability Estimation of the Solid Lubricated Bearing Based on a General Wiener Process and Its Experimental Validation",
abstract = "Conducting accurate reliability estimation plays an important role for solid lubricated bearings, because they are widely used in highly reliable space applications. This paper proposes a general Wiener process to describe the degradation process for solid lubricated bearings. The performance indicator for solid lubricated bearings is a fusion indicator from several time domain statistics of vibration signal during operation. Mahalanobis Distance (MD) is utilized to fuse these time-domain statistics indicators into one indicator representing the degradation process. Two different time scale functions in drift term and fluctuation term of Wiener process are used to capture the nonlinearity characteristics of degradation process. Bayesian MCMC method is used to estimate all the unknown parameters in the proposed degradation model. Degradation data from experiment is used to validate the model. Results show that general Wiener process degradation model is fit well for the degradation data.",
keywords = "Mahalanobis Distance, Reliability estimation, Solid lubricated bearings, Wiener process",
author = "Rentong Chen and Shaoping Wang and Chao Zhang and Mileta Tomovic",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 1st International Conference on Innovation in Engineering, ICIE 2021 ; Conference date: 28-06-2021 Through 30-06-2021",
year = "2022",
doi = "10.1007/978-3-030-79165-0\_6",
language = "英语",
isbn = "9783030791643",
series = "Lecture Notes in Mechanical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "57--67",
editor = "Jos{\'e} Machado and Filomena Soares and Justyna Trojanowska and Erika Ottaviano",
booktitle = "Innovations in Mechanical Engineering",
address = "德国",
}