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Redundancy in designs.

Ted W Yellman1

  • 111614 SE 49 Street, WA, USA. tkyellman@juno.com

Risk Analysis : an Official Publication of the Society for Risk Analysis
|February 24, 2006
PubMed
Summary
This summary is machine-generated.

Redundancy in system design is crucial but not always overemphasized. This analysis explores potential pitfalls and benefits, categorizing related failures and introducing event-sequence analysis as a superior risk assessment method.

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Area of Science:

  • Systems Engineering
  • Risk Analysis
  • Reliability Engineering

Background:

  • Previous risk analysis literature may overstate the drawbacks of design redundancy.
  • Understanding the nuances of redundancy is critical for effective systems design and safety.

Purpose of the Study:

  • To re-evaluate the role of redundancy in systems and procedures.
  • To categorize types of related failures impacting redundancy effectiveness.
  • To introduce and advocate for event-sequence analysis in risk assessment.

Main Methods:

  • Review and critique of existing risk analysis perspectives on redundancy.
  • Definition of key systems risk analysis terminology.
  • Classification of related failures into cascading/induced and common-external-cause types.

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  • Illustration using service experience from commercial jet-engine propulsion systems.
  • Overview of event-sequence analysis.

    • Main Results:

    • Related failures, physical causes of redundancy shortfalls, are categorized into two distinct types: cascading/induced and common-external-cause failures.
    • Each failure type exhibits unique physical characteristics and modeling implications.
    • Commercial jet-engine data exemplifies these failure types.
    • Event-sequence analysis demonstrates superior capability in handling related failures compared to fault-tree analysis.

    Conclusions:

    • A balanced perspective on redundancy in systems design is necessary.
    • Distinguishing between failure types is essential for accurate risk modeling.
    • Event-sequence analysis offers a more effective approach for risk assessment when considering related failures in redundant systems.