Data mining technology for failure prognostic of avionics

  • Skormin V
  • Gorodetski V
  • Popyack L
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Adverse environmental conditions have combined cumulative effects
leading to performance degradation and failures of avionics. Classical
reliability addresses statistically-generic devices and is less suitable
for the situations when failures are not traced to manufacturing but
rather to unique operational conditions of particular hardware units. An
approach aimed at the accurate assessment of the probability of failure
of any avionics unit utilizing the known history-of-abuse from
environmental and operational factors is presented herein. The suggested
prognostic model utilizes information downloaded from dedicated
monitoring systems of flight-critical hardware and stored in a database.
Such a database can be established from the laboratory testing of
hardware and supplemented with real operational data. This approach
results in a novel knowledge discovery from data technology that can be
efficiently used in a wide area of applications and provide a
quantitative basis for the modern maintenance concept known as
service-when-needed. An illustrative numerical example is provided

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  • V. A. Skormin

  • V. I. Gorodetski

  • L. J. Popyack

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