Special Issue: Statistical models for assessing reliability of complex system
Guest Editors
Prof. Ancha Xu
Zhejiang Gongshang University, Hangzhou 310018, China
Email: xuancha2011@aliyun.com
Dr. Piao Chen
Delft University of Technology, Stevinweg 1 2628 CN, Netherlands
Email: P.Chen-6@tudelft.nl
Manuscript Topics
Due to rapid technological advances, modern systems are often designed with high reliability and complex structures, such as bearings, machine tools, commercial aircraft and automobiles. Assessing the reliability of these systems can be challenging. In recent years, reliability assessment based on statistical models has received a great deal of attention. Some of the commonly used statistical models are lifetime distribution and degradation models, which play an important role in describing system reliability. Besides, the statistical methods and theories induced by these models are also expanding, and practical engineering applications are emerging.
The purpose of this special issue is to provide a platform for researchers to disseminate original research in the fields of methods and models on assessing system reliability and their applications in engineering. In particular, the authors need to highlight the concept of system reliability in their studies, which can be done by explaining the background of the proposed model. This is an excellent opportunity for researchers to report their recent progresses with the scientific community, in general and particularly working in the fields related to the title of the special issue.
The list of possible topics includes, but is not limited to:
• Accelerated life testing
• Lifetime distribution theory
• Degradation models
• Stochastic process
• Accelerated degradation testing
• Bayesian methods
• Applications of reliability models in engineering
Keywords: Reliability, Bayesian inference, degradation model, lifetime distribution, Wiener process, optimal design, generalized inference, accelerated life testing
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