A5025136852- Statistical Distribution Estimation and Applications
- Probabilistic and Robust Engineering Design
- Reliability and Maintenance Optimization
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Probability and Risk Models
- Bayesian Methods and Mixture Models
- Electromagnetic wave absorption materials
- Hydrology and Drought Analysis
- Financial Risk and Volatility Modeling
- Insurance, Mortality, Demography, Risk Management
- Advanced Antenna and Metasurface Technologies
- Stochastic processes and financial applications
- Advanced Measurement and Detection Methods
- Fatigue and fracture mechanics
- Statistical Mechanics and Entropy
- Software Reliability and Analysis Research
- Advanced Decision-Making Techniques
- Advanced ceramic materials synthesis
- Advanced Statistical Methods and Models
- Aluminum Alloys Composites Properties
- Advanced Statistical Process Monitoring
- Evaluation Methods in Various Fields
- Nonlinear Partial Differential Equations
- Distributed Sensor Networks and Detection Algorithms
Northeast Forestry University
2024-2025
Northwestern Polytechnical University
2015-2024
Chinese Academy of Sciences
2023-2024
University of Chinese Academy of Sciences
2023-2024
Institute of Microelectronics
2023
Hunan Institute of Technology
2007-2023
Henan University of Technology
2022
Liaoning Meteorological Bureau
2020
Xing Wei College
2018
Xi'an University of Architecture and Technology
2013-2017
The escalating global climate crisis and energy challenges have made the development of efficient radiative cooling materials increasingly urgent. This study presents a machine-learning-based model for predicting performance aerogels (RCAs). integrated multiple parameters, including material composition (matrix type proportions), modification design (modifier content), optical properties (solar reflectance infrared emissivity), environmental factors irradiance ambient temperature) to achieve...
Reliability modeling and evaluation for the two-phase Wiener degradation process are studied. For many devices, rates could possibly increase or decrease in a non smooth manner at some point time due to change of mechanism. A with an unobserved is used model process. And we assume that varies randomly from device device. Furthermore, integrate historical data up-to-date observation improve based on Bayesian method. The between two phases was obtained Akaike information criterion (AIC)...
The T i 3 A l C 2 powders were synthesized by pressureless sintering method at 1250–1400°C. It was found the 1350°C had a higher purity. Dielectric and microwave absorption properties of investigated in frequency range from 8.2 to 12.4 GHz. complex permittivity /paraffin decreased with increasing calcining temperature decreasing content. minimum reflection loss shifted lower‐frequency region thickness. For single‐layer mixture 70 wt% content, values exceeding −10 dB achieved when thickness is 2.8 mm.
This article considers statistical analysis of dependent competing risks model from Weibull distribution in accelerated life testing, which copula function is used to examine the dependence structure between failure modes. We derive maximum likelihood estimates, approximate, and Bootstrap confidence intervals parameters. The effects different structures on estimates parameters are investigated. simulation given compare performance when modes with those independent. Finally, one dataset was...
In life testing, the competing risks model is usually discussed under assumption of independence. this paper, we consider a dependent using bivariate Birnbaum-Saunders distribution in constant-stress accelerated testing. To observe expected failure times and terminate tests around predetermined time, adaptive progressively hybrid censoring scheme adopted. Based on with scheme, obtain maximum-likelihood estimators, approximate confidence intervals, bootstrap intervals unknown parameters. test...
Recently, exact inference under hybrid censoring scheme has attracted extensive attention in the field of reliability analysis. However, most authors neglect possibility competing risks model. This paper mainly discusses likelihood for analysis generalized type-I data with exponential failure Based on maximum estimates unknown parameters, we establish conditional distribution parameters by moment generating function, and then obtain properties as well confidence intervals (CIs) parameters....
This paper considers constant-stress accelerated competing failure models under Type-I progressive hybrid censoring with binomial random removals. A Weibull distributed life of test units is assumed for a specific cause and by the Newton–Raphson iteration asymptotic likelihood theory, maximum estimates (MLEs) confidence intervals unknown parameters are obtained. Based on noninformative prior, Gibbs sampling algorithm using adaptive rejection presented to obtain Bayesian Monte Carlo (MC)...
Based on the tampered failure rate model under adaptive Type-II progressively hybrid censoring data, we discuss maximum likelihood estimators of unknown parameters and acceleration factors in general step-stress accelerated life tests this paper. We also construct exact unique confidence interval for extended Weibull shape parameter. In numerical analysis, describe simulation procedures to obtain data present an experimental illustrate performance estimators.
In reliability analysis, it is common to consider several causes, either mechanical or electrical, those are competing fail a unit. These causes called "competing risks." this paper, we the simple step-stress model with risks for failure from Weibull distribution under progressive Type-II censoring. Based on proportional hazard model, obtain maximum likelihood estimates (MLEs) of unknown parameters. The confidence intervals derived by using asymptotic distributions MLEs and bootstrap method....