Generalized exponential‐dispersion process model for degradation analysis under nonlinear condition

2021 ◽  
Author(s):  
Fengjun Duan ◽  
Guanjun Wang
Keyword(s):  
Process Model ◽  
Dispersion Process ◽  
Degradation Analysis ◽  
Nonlinear Condition

scholarly journals Degradation analysis on high-cycle bending fatigue for woven SiC/SiC composites based on Wiener process model

2021 ◽  
Vol 198 ◽  
pp. 109295
Author(s):  
Xi Liu ◽  
Rongqiao Wang ◽  
Dianyin Hu ◽  
Long Zhang ◽  
Gaoxiang Chen
Keyword(s):  
Wiener Process ◽  
Process Model ◽  
Bending Fatigue ◽  
Degradation Analysis ◽  
Sic Composites

Exponential Dispersion Process for Degradation Analysis

2019 ◽  
Vol 68 (2) ◽  
pp. 398-409 ◽  
Author(s):  
Shirong Zhou ◽  
Ancha Xu
Keyword(s):  
Dispersion Process ◽  
Degradation Analysis

A Wiener process model for accelerated degradation analysis considering measurement errors

2016 ◽  
Vol 65 ◽  
pp. 8-15 ◽  
Author(s):  
Junxing Li ◽  
Zhihua Wang ◽  
Xia Liu ◽  
Yongbo Zhang ◽  
Huimin Fu ◽  
...  
Keyword(s):  
Wiener Process ◽  
Measurement Errors ◽  
Process Model ◽  
Accelerated Degradation ◽  
Degradation Analysis

scholarly journals A novel Wiener process model with measurement errors for degradation analysis

2016 ◽  
Vol 18 (03) ◽  
pp. 396-405 ◽  
Author(s):  
Zhihua Wang ◽  
Junxing Li ◽  
Yongbo ZHANG ◽  
Huimin Fu ◽  
Chengrui Liu ◽  
...  
Keyword(s):  
Wiener Process ◽  
Measurement Errors ◽  
Process Model ◽  
Degradation Analysis

Bayesian information fusion for degradation analysis of deteriorating products with individual heterogeneity

2018 ◽  
Vol 233 (4) ◽  
pp. 615-622 ◽  
Author(s):  
Junyu Guo ◽  
Hong-Zhong Huang ◽  
Weiwen Peng ◽  
Jie Zhou
Keyword(s):  
Reliability Analysis ◽  
Information Fusion ◽  
Process Model ◽  
High Reliability ◽  
Small Sample Size ◽  
Small Sample ◽  
Gamma Process ◽  
Individual Heterogeneity ◽  
Multiple Sources ◽  
Degradation Analysis

Degradation analysis is a popular and effective method for reliability analysis of long-life and high-reliability products. However, for newly developed products, especially for highly customized products with small sample size, the challenge of sparse degradation observations with product heterogeneity is still an open issue deserving further research. In this article, Bayesian degradation analysis is presented for reliability analysis of products with heterogeneity. The degradation process is modeled by a Gamma process. Random effects are incorporated in the Gamma process model for characterizing the individual heterogeneity. To improve the precision of parameter estimation and degradation analysis, a Bayesian information fusion is presented to leverage degradation information from multiple sources. The proposed model is demonstrated through degradation-based reliability analysis of heavy-duty machine tool’s spindle system, which is characterized as degradation analysis with individual heterogeneity and information fusion.

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