skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Availability and System Failure Modeling.

Abstract

Abstract not provided.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
OSTI Identifier:
1372600
Report Number(s):
SAND2016-6842C
645684
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Intersolar North America in San Francisco, CA.
Country of Publication:
United States
Language:
English

Citation Formats

Klise, Geoffrey Taylor. Availability and System Failure Modeling.. United States: N. p., 2016. Web.
Klise, Geoffrey Taylor. Availability and System Failure Modeling.. United States.
Klise, Geoffrey Taylor. 2016. "Availability and System Failure Modeling.". United States. doi:. https://www.osti.gov/servlets/purl/1372600.
@article{osti_1372600,
title = {Availability and System Failure Modeling.},
author = {Klise, Geoffrey Taylor},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 7
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:
  • Implementing corrective actions from the Failure Reporting, Analysis and Corrective Action System (FRACAS) is one of the methods from the reliability integrity approach used to ensure that magnets can achieve reliability and availability goals. FRACAS achieves early feedback by monitoring magnets from assembly through operation, thereby saving time and reducing the number of items that may have a particular design or manufacturing process defect. This paper will discuss the FRACAS program as it has developed in the Magnet Systems Division of the Superconducting Super Collider Laboratory, the type of information FRACAS has accumulated on the magnets, and corrective actions implementedmore » to help achieve the reliability and availability goals.« less
  • Implementing corrective actions from the Failure Reporting, Analysis and Corrective Action System (FRACAS) is one of the methods from the reliability integrity approach used to ensure that magnets can achieve reliability and availability goals. FRACAS achieves early feedback by monitoring magnets from assembly through operation, thereby saving time and reducing the number of items that may have a particular design or manufacturing process defect. This paper will discuss the FRACAS program as it has developed in the Magnet Systems Division of the Superconducting Super Collider Laboratory, the type of information FRACAS has accumulated on the magnets, and corrective actions implementedmore » to help achieve the reliability and availability goals.« less
  • Materiel availability (A{sub m}) is a new US Department of Defense Key Performance Parameter (KPP) implemented through a mandatory Sustainment Metric consisting of an Availability KPP and two supporting Key System Attributes (KSAs), materiel reliability and ownership cost. Sandia National Laboratories (Sandia), in conjunction with several US Army organizations, developed the analytical foundation, assumptions, and brigade-level modeling approach to support lifecycle, fleet-wide A{sub m} modeling and analysis of a complex Army weapon system. Like operational availability (A{sub o}), A{sub m} is dependent on reliability, but A{sub m} is also affected by other factors that do not impact A{sub o}. Themore » largest influences on A{sub m} are technology insertion and reset downtimes. A{sub m} is a different metric from A{sub o}. Whereas A{sub o} is an operational measure, A{sub m} is more of a programmatic measure that spans a much larger timeframe, additional sources of downtime, and additional sources of unscheduled maintenance.« less
  • Abstract not provided.