Y
Yuanjian Yang
Researcher at Nanjing University of Information Science and Technology
Publications - 175
Citations - 4058
Yuanjian Yang is an academic researcher from Nanjing University of Information Science and Technology. The author has contributed to research in topics: Environmental science & Geology. The author has an hindex of 30, co-authored 141 publications receiving 2703 citations. Previous affiliations of Yuanjian Yang include University of Science and Technology of China & The Chinese University of Hong Kong.
Papers
More filters
Journal ArticleDOI
Inverse Gaussian process models for degradation analysis: A Bayesian perspective
TL;DR: A Bayesian analysis of inverse Gaussian process models for degradation modeling and inference and a classic example is presented to demonstrate the applicability of the Bayesian method for degradation analysis with the inverse Gaussia process models.
Journal ArticleDOI
Bayesian Degradation Analysis With Inverse Gaussian Process Models Under Time-Varying Degradation Rates
TL;DR: In this paper, a parametric inverse Gaussian process model is proposed to model degradation processes with constant, monotonic, and S-shaped degradation rates, where physical meaning of model parameters for time-varying degradation rates is highlighted.
Journal ArticleDOI
Bivariate Analysis of Incomplete Degradation Observations Based on Inverse Gaussian Processes and Copulas
TL;DR: A two-stage Bayesian method is introduced to implement parameter estimation for the bivariate degradation model by treating the degradation processes and copula function separately and the effectiveness of the dependence modeling and degradation inference of the proposed method is studied.
Journal ArticleDOI
Reliability assessment of complex electromechanical systems under epistemic uncertainty
TL;DR: The Monte Carlo simulation method is utilized to compute the DFT model with consideration of system replacement policy and the results show that this integrated approach is more flexible and effective for assessing the reliability of complex dynamic systems.
Journal ArticleDOI
Mean stress effect correction in strain energy-based fatigue life prediction of metals:
TL;DR: In this paper, a mean stress sensitivity parameter is incorporated into modify the dissipated strain energy by introducing two mean stress correction factors, and the prediction accuracy of the proposed model is compared with those of Walker, Smith-Watson-Topper, Morrow, and generalized damage parameter models by using 13 experimental data sets.