The hybrid automated reliability predictor
In this paper, we present an overview of the hybrid automated reliability predictor (HARP), under development at Duke and Clemson Universities. The HARP approach to reliability prediction is characterized by a decomposition of the overall model into distinct fault-occurrence/repair and fault/error-handling submodels. The faultoccurrence/repair model can be cast as either a fault tree or as a Markov chain and is solved analytically. Both exponential and Weibull time to failure distributions are allowed. There are a variety of choices available for the specification of the fault/error-handling behavior that may be solved analytically or simulated. Both graphical and textual interfaces are provided to HARP. © 1985 American Institute of Aeronautics and Astronautics, Inc.
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Related Subject Headings
- Aerospace & Aeronautics
- 4017 Mechanical engineering
- 4007 Control engineering, mechatronics and robotics
- 4001 Aerospace engineering
- 0913 Mechanical Engineering
- 0906 Electrical and Electronic Engineering
- 0901 Aerospace Engineering
Citation
Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Aerospace & Aeronautics
- 4017 Mechanical engineering
- 4007 Control engineering, mechatronics and robotics
- 4001 Aerospace engineering
- 0913 Mechanical Engineering
- 0906 Electrical and Electronic Engineering
- 0901 Aerospace Engineering