A probabilistic method for certification of analytically redundant systems

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Analytical fault detection algorithms have the potential to reduce the size, power and weight of safety-critical aerospace systems. Analytical redundancy has been successfully applied in many non-safety critical applications. However, acceptance for aerospace applications will require new methods to rigorously certify the impact of such algorithms on the overall system reliability. This paper presents a theoretical method to assess the probabilistic performance for an analytically redundant system. Specifically, a fault tolerant actuation system is considered. The system consists of dual-redundant actuators and an analytical fault detection algorithm to switch between the hardware components. The exact system failure rate per hour is computed using the law of total probability. This analysis requires knowledge of the failure rates for the hardware components. In addition, knowledge of specific probabilistic performance metrics for the fault detection logic is needed. Numerical examples are provided to demonstrate the proposed analysis method.

Original languageEnglish (US)
Pages (from-to)103-116
Number of pages14
JournalInternational Journal of Applied Mathematics and Computer Science
Volume25
Issue number1
DOIs
StatePublished - Mar 1 2015

Fingerprint

Redundant System
Probabilistic Methods
Certification
Fault Detection
Fault detection
Failure Rate
Hardware
Safety-critical Systems
Fault-tolerant Systems
Aerospace applications
System Reliability
Performance Metrics
Redundancy
Actuator
Switch
Actuators
Switches
Logic
Numerical Examples
Demonstrate

Keywords

  • avionics
  • certification
  • fault detection
  • fault-tolerant systems
  • reliability
  • safety-critical systems

Cite this

A probabilistic method for certification of analytically redundant systems. / Hu, Bin; Seiler Jr, Peter J.

In: International Journal of Applied Mathematics and Computer Science, Vol. 25, No. 1, 01.03.2015, p. 103-116.

Research output: Contribution to journalArticle

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