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A Concept of Risk Prioritization in FMEA Analysis for Fluid Power Systems

Author

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  • Joanna Fabis-Domagala

    (Faculty of Mechanical Engineering, Cracow University of Technology, Al. Jana Pawla II 37, 31-864 Cracow, Poland)

  • Mariusz Domagala

    (Faculty of Mechanical Engineering, Cracow University of Technology, Al. Jana Pawla II 37, 31-864 Cracow, Poland)

  • Hassan Momeni

    (Department of Mechanical and Marine Engineering, Western Norway University of Applied Sciences, N5020 Bergen, Norway)

Abstract

FMEA analysis is a tool of quality improvement that has been widely used for decades. Its classical version prioritizes risk of failure by risk priority number (RPN). The RPN is a product of severity (S), occurrence (O), and detection (D), where all of the factors have equal levels of significance. This assumption is one of the most commonly criticized drawbacks, as it has given unreasonable results for real-world applications. The RPN can produce equal values for combinations of risk factors with different risk implications. Another issue is that of the uncertainties and subjectivities of information employed in FMEA analysis that may arise from lack of knowledge, experience, and employed linguistic terms. Many alternatives of risk assessment methods have been proposed to overcome the weaknesses of classical FMEA risk management in which we can distinguish methods of modification of RPN numbers of employing new tools. In this study, we propose a modification of the traditional RPN number. The main difference is that severity and occurrence are valued based on subfactors. The detection number remained unchanged. Additionally, the proposed method prioritizes risk in terms of implied risk to the systems by implementing functional failures (effects of potential failures). A typical fluid power system was used to illustrate the application of this method. The method showed the correct failure classification, which meets the industrial experience and other research results of failures of fluid power systems.

Suggested Citation

  • Joanna Fabis-Domagala & Mariusz Domagala & Hassan Momeni, 2021. "A Concept of Risk Prioritization in FMEA Analysis for Fluid Power Systems," Energies, MDPI, vol. 14(20), pages 1-16, October.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6482-:d:652990
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    References listed on IDEAS

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    1. Yuan Guo & Ge Xiong & Liangcai Zeng & Qingfeng Li, 2021. "Modeling and Predictive Analysis of Small Internal Leakage of Hydraulic Cylinder Based on Neural Network," Energies, MDPI, vol. 14(9), pages 1-14, April.
    2. Chang, Chia-Hsun & Kontovas, Christos & Yu, Qing & Yang, Zaili, 2021. "Risk assessment of the operations of maritime autonomous surface ships," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    3. Joanna Fabis-Domagala & Mariusz Domagala & Hassan Momeni, 2021. "A Matrix FMEA Analysis of Variable Delivery Vane Pumps," Energies, MDPI, vol. 14(6), pages 1-14, March.
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    Cited by:

    1. Joanna Fabis-Domagala & Mariusz Domagala, 2022. "A Concept of Risk Prioritization in FMEA of Fluid Power Components," Energies, MDPI, vol. 15(17), pages 1-14, August.
    2. Ievgen Babeshko & Oleg Illiashenko & Vyacheslav Kharchenko & Kostiantyn Leontiev, 2022. "Towards Trustworthy Safety Assessment by Providing Expert and Tool-Based XMECA Techniques," Mathematics, MDPI, vol. 10(13), pages 1-25, June.
    3. Ferenc Bognár & Csaba Hegedűs, 2022. "Analysis and Consequences on Some Aggregation Functions of PRISM (Partial Risk Map) Risk Assessment Method," Mathematics, MDPI, vol. 10(5), pages 1-19, February.
    4. Israa Azzam & Keith Pate & Jose Garcia-Bravo & Farid Breidi, 2022. "Energy Savings in Hydraulic Hybrid Transmissions through Digital Hydraulics Technology," Energies, MDPI, vol. 15(4), pages 1-24, February.

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