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Selected Paper from The 11th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering & The 4th International Conference on Reliability Systems Engineering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: closed (10 March 2022) | Viewed by 7768

Special Issue Editors

Prof. Dr. Jinhua Mi

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
Dr. Wenxian Yang

E-Mail Website
Guest Editor
School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
Interests: wind power; offshore engineering; operation and maintenance
Special Issues, Collections and Topics in MDPI journals
Dr. He Li

E-Mail Website
Guest Editor
Centre for Marine Technology and Ocean Engineering (CENTEC) Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal
Interests: system reliability; availability; maintainability
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

QR2MSE2021 and ICRSE2021 is an international forum for the exchange of innovative ideas, cutting-edge research results, and applications of asset management, reliability, and quality tools in the design, manufacturing, and operation and maintenance of engineering systems. Papers dealing with case studies, reliability data generation, experimental results, best design practice, and effective asset management solutions are of particular interest.

The main topics of the conference include but are not limited to:

  • Reliability theory and applications;
  • Product reliability and safety evaluation;
  • Reliability testing and statistics;
  • Structural reliability;
  • Software reliability and testing;
  • Reliability tools for product development;
  • Advanced sensor technologies;
  • Condition monitoring, diagnostics, and prognostics;
  • System health and analytics;
  • Novel technologies for maintenance: robotics, virtual reality, and additive manufacturing;
  • Applications of industrial interment;
  • Statistical analysis of uncertainty;
  • Non-destructive evaluations.

Prof. Dr. Jinhua Mi
Dr. Wenxian Yang
Dr. He Li
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. Applied Sciences 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 2400 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.

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Published Papers (2 papers)

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Research

17 pages, 16858 KiB  
Article
Vibration and Stress Response of High-Speed Train Gearboxes under Different Excitations
by Wangang Zhu, Wei Sun and Hao Wu
Appl. Sci. 2022, 12(2), 712; https://doi.org/10.3390/app12020712 - 12 Jan 2022
Cited by 7 | Viewed by 4133
Abstract
The vibration data of the gearbox on a high-speed train was measured, and the vibration characteristics were analyzed in this paper. The dynamic stress of the gearbox under the internal and external excitation was examined by a railway vehicle dynamic model with a [...] Read more.
The vibration data of the gearbox on a high-speed train was measured, and the vibration characteristics were analyzed in this paper. The dynamic stress of the gearbox under the internal and external excitation was examined by a railway vehicle dynamic model with a flexible gearbox and a flexible wheelset. The ideal 20th polygonal wear was considered, and dynamic stresses of the gearbox under different polygonal wear amplitudes were calculated. The gear transmission model was established to study the dynamic stress of the gearbox under the influence of the time-varying stiffness of the gear meshing. Based on the rigid–flexible coupling model, and considering the influence of wheel polygonization, gear meshing time-varying stiffness, and wheelset elastic deformation, the dynamic stress of the gearbox was investigated with consideration of the measured polygonal wear and measured rail excitation. The results show that the dynamic stress of the gearbox is dominated by the wheel polygonization. Moreover, not only the wheel polygonization excites the resonance of the gearbox, but also the flexible deformation of the wheelset leads to the deformation of the gearbox, which also increases the dynamic stress of the gearbox. Within the resonant bandwidth of the frequency, the amplitude of the dynamic stresses in the gearbox will increase considerably compared with the normal case. Full article
(This article belongs to the Special Issue Selected Paper from The 11th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering & The 4th International Conference on Reliability Systems Engineering)
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19 pages, 6952 KiB  
Article
Evaluation of the Operation Process of Medical Equipment to Enhance Ergonomic Reliability Based on FRAM–Moran’s I and CREAM
by Xin Liu, Zheng Liu, Kang-Chao Lin, Zhi-Lin Huang, Ming-Yu Ling, Peng-Qing Chen, Xiao-Min Huang and Yu-Jia Zhai
Appl. Sci. 2022, 12(1), 200; https://doi.org/10.3390/app12010200 - 25 Dec 2021
Cited by 2 | Viewed by 2617
Abstract
To improve the ergonomic reliability of medical equipment design during the operation process, a method for evaluating the operating procedure of a medical equipment interface according to functional resonance analysis method (FRAM)-Moran’s I and cognitive reliability and error analysis method (CREAM) is proposed [...] Read more.
To improve the ergonomic reliability of medical equipment design during the operation process, a method for evaluating the operating procedure of a medical equipment interface according to functional resonance analysis method (FRAM)-Moran’s I and cognitive reliability and error analysis method (CREAM) is proposed in this study. The novelty of this research is to analyze the ergonomic reliability of medical equipment in a more systematic manner and to minimize the impact of human subjectivity and individual differences on the evaluation results of the operation process. To solve the calculation problem of functional resonance in FRAM and to make the evaluation results more objective, Moran’s I was introduced to quantify the deviation degree caused by the individual differences of the subjects. By giving weights based on Moran’s I, the influence of individual differences and subjectivity on the evaluation results can be minimized, to a certain extent. Considering the importance of a special environment, which is not fully considered by the conventional CREAM, the weighting values based on Moran’s I, Delphi survey, and technique for order preference by similarity to an ideal solution (TOPSIS) were adopted to assign weights to common performance conditions (CPCs) in CREAM. The optimal design scheme was selected more objectively than in the conventional method. The validity and practicability of this operation process evaluation method was verified by a statistical method based on ergonomic reliability experiments. Full article
(This article belongs to the Special Issue Selected Paper from The 11th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering & The 4th International Conference on Reliability Systems Engineering)
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