Improved Reliability Models for Mechanical and Electrical Components at Navigation Lock and Dam and Flood Risk Management Facilities

Abstract

This work developed the use of Expert-Opinion Elicitation (EOE) to help estimate the characteristic life (CL) of mechanical and electrical (ME) components at US Army Corps of Engineers (USACE) navigation projects. This effort developed improved reliability models for the ME components at the USACE navigation facilities. Current USACE ME reliability methods use generic component failure rate data from US Department of Defense (DoD) Military Standard (MIL-STD) 756B, in which failure rate data is processed for components that function in operating environments, failure modes, and maintenance practices different from those at USACE navigation and flood risk management projects. The reliability of the ME system from this data set yields very conservative results, very often overestimating the time-dependent reliability of the entire ME system. EOE will be used to define the CL for a list of critical ME components at USACE navigation and flood risk management projects. These elicited values for CL will form the basis for failure rates to be used with the existing methods for ME system reliability calculations. Additional work on fault trees for ME systems is being completed as part of dam safety and levee risk assessment procedures development.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2013
Accession Number
ADA582967

Entities

People

  • David L. Buccini
  • James W. Bartek
  • Robert C. Patev
  • Stuart Foltz

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Army Corps Of Engineers
  • Civil Engineering
  • Delphi Method
  • Department Of Defense
  • Engineering
  • Engineers
  • Environment
  • Failure Mode And Effect Analysis
  • Flood Control
  • Flood Hazards
  • Floods
  • Geotechnical Engineering
  • Mechanical Engineering
  • Navigation
  • Risk
  • Risk Analysis
  • Risk Management

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Facility/Structural Engineering.
  • Riverine Ecology