Special Session on

Reliability Models for Ageing and Degradation with Novel Applications


Recent advances of high-tech products lead to new and pressing demands on new reliability models and theory to ensure the high quality and reliability of these products. The high-tech products include electronic vehicles, power battery, unmanned autonomous vehicles, and 5G communication stations. The complicated ageing and degradation in these products make their reliability evaluation difficult. The main objective of this session is to gather several active and eminent speakers to present some recent advances on reliability models with novel industrial applications.


Authors are invited to submit original unpublished research papers as well as industrial practice papers. Simultaneous submissions to other conferences are not permitted. Detailed instructions for electronic paper submission, panel proposals, and review process can be found at https://qrs21.techconf.org/submission.

The length of a camera ready paper will be limited to eight pages. Each paper should include a title, the name and affiliation of each author, a 150-word abstract, and up to 6 keywords. Shorter version papers (up to four pages) are also allowed.

All papers must conform to the QRS conference proceedings format (PDF | Word DOCX | Latex) and Submission Guideline set in advance by QRS 2021. At least one of the authors of each accepted paper is required to pay full registration fee and present the paper at the special session. Arrangements are being made to publish selected accepted papers in reputable journals. Submissions must be in PDF format and uploaded to the conference submission site.


Session Chair

Zhisheng Ye's avatar
Zhisheng Ye

National University of Singapore

Tentative Schedule

1. Reliability Analysis for Degradation Systems with Multiple Shock Dailure Thresholds

Li Yan, Associate Professor, Hebei University of Science and Technology

2. Design of a Performance-based Extended Warranty Strategy

Anshu Dai, Assistant Professor, Tianjin University of Finance and Economics

3. Machinery Health Prognostics Based on Bayesian Deep Learning

Weiwen Peng, Associate Professor, Sun Yat-sen University

4. Reliability Optimization of Telecommunication Systems Considering Signal Degradation

Kaiye Gao, Associate Professor, Beijing Information Science & Technology University

5. How Reliable Should Military UAVs Be?

Qingqing Zhai, Associate Professor, Shanghai University