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Related Concept Videos

Hazard Rate01:11

Hazard Rate

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The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
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Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
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Related Experiment Video

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Error-Rate Estimation Based on Multi-Signal Flow Graph Model and Accelerated Radiation Tests.

Wei He1, Yueke Wang1, Kefei Xing1

  • 1School of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, Hu Nan Province, China.

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|September 2, 2016
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Summary
This summary is machine-generated.

This study introduces a new method to assess space instrument vulnerability to soft errors using a multi-signal flow graph model. The research quantifies the system functional error rate (SFER) and meantime to failure (MTTF) for FPGA platforms.

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Area of Science:

  • Space Science and Engineering
  • Reliability Engineering
  • Radiation Effects

Background:

  • Evaluating single-event effect soft-error vulnerability in space instruments is crucial before launch.
  • Existing methods require robust models for accurate fault diagnosis and reliability prediction.

Purpose of the Study:

  • To introduce a multi-signal flow graph model for analyzing fault diagnosis and meantime to failure (MTTF) in space instruments.
  • To propose a system functional error rate (SFER) model.
  • To present an experimental method and accelerated radiation testing system for FPGA-based signal processing platforms.

Main Methods:

  • Development of a multi-signal flow graph model for fault diagnosis.
  • Proposal of a system functional error rate (SFER) model.
  • Implementation of an accelerated radiation testing system using different ions (O, Si, Cl, Ti) on an FPGA platform.

Main Results:

  • The system functional error rate (SFER) for the tested FPGA signal processing platform was determined to be approximately 10^-3 (error/particle/cm^2).
  • The meantime to failure (MTTF) for the platform was calculated to be approximately 110.7 hours.

Conclusions:

  • The proposed multi-signal flow graph model and experimental approach effectively evaluate the soft-error vulnerability of space instruments.
  • The findings provide critical data for enhancing the reliability of space-based signal processing platforms against radiation-induced errors.