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Technometrics Volume 62, 2020 - Issue 2
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Original Articles

Analysis of Large Heterogeneous Repairable System Reliability Data With Static System Attributes and Dynamic Sensor Measurement in Big Data Environment

Xiao LiuDepartment of Industrial Engineering, University of Arkansas, Fayetteville, AR; Correspondence[email protected]
&
Rong PanSchool of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, AZ
Pages 206-222 | Received 10 May 2018, Accepted 05 Apr 2019, Published online: 16 Jul 2019

Citations (6)

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Read on this site (2)

Reza Iranzad, Xiao Liu, W. Art Chaovalitwongse, Daniel Hippe, Shouyi Wang, Jie Han, Phawis Thammasorn, Chunyan Duan, Jing Zeng & Stephen Bowen. (2022) Gradient boosted trees for spatial data and its application to medical imaging data. IISE Transactions on Healthcare Systems Engineering 12:3, pages 165-179.
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Xiao Liu & Rong Pan. (2021) Boost-R: Gradient boosted trees for recurrence data. Journal of Quality Technology 53:5, pages 545-565.
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Articles from other publishers (4)

Reza Iranzad & Xiao Liu. (2024) A review of random forest-based feature selection methods for data science education and applications. International Journal of Data Science and Analytics.
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Di Cui, Qiuzhuang Sun & Min Xie. (2023) Robust Statistical Modeling of Heterogeneity for Repairable Systems Using Multivariate Gaussian Convolution Processes. IEEE Transactions on Reliability 72:4, pages 1493-1506.
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Renyan Jiang, Fengping Li, Wei Xue, Xiao Li & Kunpeng Zhang. (2023) An improved method for evaluating equivalent acceleration factors of repairable systems in a fleet. An improved method for evaluating equivalent acceleration factors of repairable systems in a fleet.
Kangzhe He, Qiuzhuang Sun, Min Xie & Way Kuo. (2023) Sequential Bayesian Planning for Accelerated Degradation Tests Considering Sensor Degradation. IEEE Transactions on Reliability 72:3, pages 964-974.
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