Bayesian Degradation Analysis With Inverse Gaussian Process Models Under Time-Varying Degradation Rates

Weiwen Peng; Yan-Feng Li; Yuan-Jian Yang; Jinhua Mi; Hong-Zhong Huang

doi:10.1109/tr.2016.2635149

Bayesian Degradation Analysis With Inverse Gaussian Process Models Under Time-Varying Degradation Rates

IEEE Transactions on Reliability ◽

10.1109/tr.2016.2635149 ◽

2017 ◽

Vol 66 (1) ◽

pp. 84-96 ◽

Cited By ~ 74

Author(s):

Weiwen Peng ◽

Yan-Feng Li ◽

Yuan-Jian Yang ◽

Jinhua Mi ◽

Hong-Zhong Huang

Keyword(s):

Gaussian Process ◽

Process Models ◽

Time Varying ◽

Inverse Gaussian ◽

Inverse Gaussian Process ◽

Degradation Rates ◽

Degradation Analysis ◽

Gaussian Process Models

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Inverse Gaussian process models for degradation analysis: A Bayesian perspective

Reliability Engineering & System Safety ◽

10.1016/j.ress.2014.06.005 ◽

2014 ◽

Vol 130 ◽

pp. 175-189 ◽

Cited By ~ 109

Author(s):

Weiwen Peng ◽

Yan-Feng Li ◽

Yuan-Jian Yang ◽

Hong-Zhong Huang ◽

Ming J. Zuo

Keyword(s):

Gaussian Process ◽

Process Models ◽

Inverse Gaussian ◽

Inverse Gaussian Process ◽

Degradation Analysis ◽

Gaussian Process Models

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Inverse Gaussian process models for bivariate degradation analysis: A Bayesian perspective

Communications in Statistics - Simulation and Computation ◽

10.1080/03610918.2017.1280162 ◽

2017 ◽

Vol 47 (1) ◽

pp. 166-186 ◽

Cited By ~ 5

Author(s):

Fengjun Duan ◽

Guanjun Wang ◽

Huan Wang

Keyword(s):

Gaussian Process ◽

Process Models ◽

Inverse Gaussian ◽

Inverse Gaussian Process ◽

Degradation Analysis ◽

Gaussian Process Models

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Objective Bayesian analysis for accelerated degradation data using inverse Gaussian process models

Statistics and Its Interface ◽

10.4310/sii.2019.v12.n2.a10 ◽

2019 ◽

Vol 12 (2) ◽

pp. 295-307

Author(s):

Lei He ◽

Dongchu Sun ◽

Daojiang He

Keyword(s):

Bayesian Analysis ◽

Gaussian Process ◽

Process Models ◽

Inverse Gaussian ◽

Accelerated Degradation ◽

Degradation Data ◽

Inverse Gaussian Process ◽

Gaussian Process Models

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Engineering‐driven performance degradation analysis of hydraulic piston pump based on the inverse Gaussian process

Quality and Reliability Engineering International ◽

10.1002/qre.2502 ◽

2019 ◽

Cited By ~ 1

Author(s):

Zhonghai Ma ◽

Shaoping Wang ◽

Haitao Liao ◽

Chao Zhang

Keyword(s):

Gaussian Process ◽

Performance Degradation ◽

Piston Pump ◽

Inverse Gaussian ◽

Hydraulic Piston Pump ◽

Inverse Gaussian Process ◽

Degradation Analysis

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Degradation analysis based on an extended inverse Gaussian process model with skew-normal random effects and measurement errors

Reliability Engineering & System Safety ◽

10.1016/j.ress.2019.04.031 ◽

2019 ◽

Vol 189 ◽

pp. 261-270 ◽

Cited By ~ 12

Author(s):

Songhua Hao ◽

Jun Yang ◽

Christophe Berenguer

Keyword(s):

Gaussian Process ◽

Random Effects ◽

Measurement Errors ◽

Process Model ◽

Inverse Gaussian ◽

Gaussian Process Model ◽

Inverse Gaussian Process ◽

Degradation Analysis ◽

Skew Normal

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A Perturbed Inverse Gaussian Process Model with time Varying Variance-to-Mean Ratio

Proceedings of the 29th European Safety and Reliability Conference (ESREL) ◽

10.3850/978-981-11-2724-3_0144-cd ◽

2019 ◽

Author(s):

Songhua Hao ◽

Jun Yang ◽

Christophe Berenguer

Keyword(s):

Gaussian Process ◽

Process Model ◽

Time Varying ◽

Inverse Gaussian ◽

Gaussian Process Model ◽

Inverse Gaussian Process

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Performance Degradation Analysis of Doppler Velocity Sensor Based on Inverse Gaussian Process and Poisson Shock

Stochastic Models in Reliability, Network Security and System Safety - Communications in Computer and Information Science ◽

10.1007/978-981-15-0864-6_7 ◽

2019 ◽

pp. 161-175

Author(s):

Yixuan Geng ◽

Shaoping Wang ◽

Jian Shi ◽

Weijie Wang

Keyword(s):

Gaussian Process ◽

Performance Degradation ◽

Doppler Velocity ◽

Inverse Gaussian ◽

Velocity Sensor ◽

Inverse Gaussian Process ◽

Degradation Analysis

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Identification of Continuous-time Nonlinear Systems via Local Gaussian Process Models

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.134.1708 ◽

2014 ◽

Vol 134 (11) ◽

pp. 1708-1715

Author(s):

Tomohiro Hachino ◽

Kazuhiro Matsushita ◽

Hitoshi Takata ◽

Seiji Fukushima ◽

Yasutaka Igarashi

Keyword(s):

Nonlinear Systems ◽

Gaussian Process ◽

Continuous Time ◽

Process Models ◽

Gaussian Process Models

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Deep Gaussian Process Models for Integrating Multifidelity Experiments with Non-stationary Relationships

IISE Transactions ◽

10.1080/24725854.2021.1931572 ◽

2021 ◽

pp. 1-28

Author(s):

Jongwoo Ko ◽

Heeyoung Kim

Keyword(s):

Gaussian Process ◽

Process Models ◽

Gaussian Process Models

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A hierarchical training and identification method using Gaussian process models for face recognition in videos

2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) ◽

10.1109/fg.2015.7163097 ◽

2015 ◽

Cited By ~ 2

Author(s):

Negar Hassanpour ◽

Liang Chen

Keyword(s):

Face Recognition ◽

Gaussian Process ◽

Process Models ◽

Identification Method ◽

Gaussian Process Models

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