Reliability modeling and analysis of cycloid gear grinding machines based on the bootstrap-bayes method
Author:
Affiliation:
1. School of Mechatronics Engineering, Henan University of Science and Technology
2. Luoyang LYC Bearing Co. Ltd.
Publisher
Japan Society of Mechanical Engineers
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Link
https://www.jstage.jst.go.jp/article/jamdsm/17/3/17_2023jamdsm0033/_pdf
Reference29 articles.
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2. Al-Mutairi, N.N., Al-Turk, LI.., Al-Rajhi, S.A., A new reliability model based on lindley distribution with application to failure data, Mathematical Problems in Engineering, Vol. 2020(2020), DOI: 10.1155/2020/4915812.
3. Aminisharifabad, M., Yang, Q.Y., Wu, X., A deep Learning-based reliability model for complex survival data, IEEE Transactions on Reliability, Vol. 70, No. 1(2021), pp. 73-81.
4. Ben Ali, J., Chebel-Morello, B., Saidi, L., Accurate bearing remaining useful life prediction based on weibull distribution and artificial neural network, Mechanical Systems and Signal Processing, Vol. 56-57(2015), pp. 150-172.
5. Cordeiro, J.B., Pham, H., Optimal design of life testing cost model for Type-II censoring Weibull distribution lifetime units with respect to unknown parameters, International Journal of System Assurance Engineering and Management, Vol. 8, No. 1(2017), pp. 117-129.
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