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Selected Papers from the 11th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 2632

Special Issue Editors


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Guest Editor
School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: system reliability modeling and analysis; maintenance decision; uncertainty quantification; prognostics and health management; design under uncertainty

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Guest Editor
Department of Mechanical Engineering-Engineering Mechanics, Michigan Technological University, Houghton, MI 49931-1295, USA
Interests: reliability-based analysis and design; failure prognostics and diagnostics; uncertainty quantification
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: system reliability; uncertainty analysis; fault diagnosis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

A surge in the demand for new technologies and the emergence of new, modern techniques in the material and computer sciences in recent years have led to the exploration of smart systems and intelligent machinery. However, despite the gradual implementation of such equipment, various reliability and quality issues have emerged, encouraging practitioners and academics to focus on how to overcome these failures through quality, reliability, risk, maintenance, and safety engineering tools. This Special Issue will collect papers for QR2MSE2021, a prestigious annual event dedicated to the exchange of innovative ideas, cutting-edge research results, and applications of reliability and quality tools in the design, manufacturing, and operation and maintenance of conventional and state-of-the-art engineering systems. QR2MSE2021 will take place in Chengdu, China. In collaboration with Energies (MDPI), up to 30 high-quality conference papers will be selected for publication in this Special Issue following adequate extension. This opportunity is also advertised on the conference website: http://www.qr2mse.org/.

Submissions dealing with the following topics are particularly welcomed:

  • Reliability modeling and risk analysis;
  • Robust, reliability-based, and lifecycle design;
  • Maintenance and warranty management;
  • Failure physics, material science, data analysis, and reliability testing;
  • Reliability, maintainability, and supportability;
  • Fault diagnosis, prognosis, condition monitoring, and PHM;
  • System analysis, simulation, and optimization.

Prof. Dr. Yu Liu
Prof. Dr. Zequn Wang
Prof. Dr. Jinhua Mi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Quality engineering
  • Reliability theory and application
  • Reliability testing and statistics
  • Risk management
  • Prognostics and health management
  • Equipment management and maintenance
  • Systems integrity management
  • Optimal design
  • Applications of industrial applications

Published Papers (1 paper)

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Research

23 pages, 398 KiB  
Article
Estimation of Stress-Strength Reliability for Multicomponent System with Rayleigh Data
by Liang Wang, Huizhong Lin, Kambiz Ahmadi and Yuhlong Lio
Energies 2021, 14(23), 7917; https://0-doi-org.brum.beds.ac.uk/10.3390/en14237917 - 25 Nov 2021
Cited by 2 | Viewed by 1645
Abstract
Inference is investigated for a multicomponent stress-strength reliability (MSR) under Type-II censoring when the latent failure times follow two-parameter Rayleigh distribution. With a context that the lifetimes of the strength and stress variables have common location parameters, maximum likelihood estimator of MSR along [...] Read more.
Inference is investigated for a multicomponent stress-strength reliability (MSR) under Type-II censoring when the latent failure times follow two-parameter Rayleigh distribution. With a context that the lifetimes of the strength and stress variables have common location parameters, maximum likelihood estimator of MSR along with the existence and uniqueness is established. The associated approximate confidence interval is provided via the asymptotic distribution theory and delta method. Meanwhile, alternative generalized pivotal quantities-based point and confidence interval estimators are also constructed for MSR. More generally, when the lifetimes of strength and stress variables follow Rayleigh distributions with unequal location parameters, likelihood and generalized pivotal-based estimators are provided for MSR as well. In addition, to compare the equivalence of different strength and stress parameters, a likelihood ratio test is provided. Finally, simulation studies and a real data example are presented for illustration. Full article
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