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Modeling of Failure Probability for Reliability and Component Reuse of Electric and Electronic Equipment

Author

Listed:
  • Massimo Conti

    (Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche, 60126 Ancona, Italy)

  • Simone Orcioni

    (Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche, 60126 Ancona, Italy)

Abstract

Recently, the concept of “circular economy”, the design for end-of-life, the problem of reduction of waste of electronic and electrical equipment are becoming more and more important. The design of electronic systems for end-of-life considers the possibility of their repair, reuse and recycle, in order to reduce waste. This work proposes a new accurate model of failure probability density, that includes the failure probability of a used component in new equipment. The model has been tested, in conjunction with the International Electrotechnical Commission and Telcordia standard, in real industrial production. Eight years of historical faults have been analyzed and used to derive the fault models of the components. The model and analysis have been used for the analysis of real electronic products. The reuse of components could make an improvement to the reliability of the equipment.

Suggested Citation

  • Massimo Conti & Simone Orcioni, 2020. "Modeling of Failure Probability for Reliability and Component Reuse of Electric and Electronic Equipment," Energies, MDPI, vol. 13(11), pages 1-18, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:2843-:d:366725
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    References listed on IDEAS

    as
    1. Zhang, Zhengxin & Si, Xiaosheng & Hu, Changhua & Lei, Yaguo, 2018. "Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods," European Journal of Operational Research, Elsevier, vol. 271(3), pages 775-796.
    2. Almalki, Saad J. & Nadarajah, Saralees, 2014. "Modifications of the Weibull distribution: A review," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 32-55.
    3. Danny Pigini & Massimo Conti, 2017. "NFC-Based Traceability in the Food Chain," Sustainability, MDPI, vol. 9(10), pages 1-20, October.
    4. Keshav Parajuly & Henrik Wenzel, 2017. "Product Family Approach in E-Waste Management: A Conceptual Framework for Circular Economy," Sustainability, MDPI, vol. 9(5), pages 1-14, May.
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    Cited by:

    1. Jie Liu & Qiu Tang & Wei Qiu & Jun Ma & Junfeng Duan, 2021. "Probability-Based Failure Evaluation for Power Measuring Equipment," Energies, MDPI, vol. 14(12), pages 1-16, June.
    2. A. M. Sakura R. H. Attanayake & R. M. Chandima Ratnayake, 2023. "Digitalization of Distribution Transformer Failure Probability Using Weibull Approach towards Digital Transformation of Power Distribution Systems," Future Internet, MDPI, vol. 15(2), pages 1-17, January.
    3. Santos, Augusto César de Jesus & Cavalcante, Cristiano Alexandre Virgínio & Wu, Shaomin, 2023. "Maintenance policies and models: A bibliometric and literature review of strategies for reuse and remanufacturing," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    4. Jessika Luth Richter & Sahra Svensson‐Hoglund & Carl Dalhammar & Jennifer D. Russell & Åke Thidell, 2023. "Taking stock for repair and refurbishing: A review of harvesting of spare parts from electrical and electronic products," Journal of Industrial Ecology, Yale University, vol. 27(3), pages 868-881, June.

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    Keywords

    WEEE; reliability; reuse;
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