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Title: RCM Journey at Sandia National Labs (Presentation Slides).

Abstract

Abstract not provided.

Authors:
;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1148455
Report Number(s):
SAND2007-2201C
523391
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the MARCON (Maintenance and Reliability Conference) held May 9-11, 2007 in Knoxville, TN.
Country of Publication:
United States
Language:
English

Citation Formats

Williams, Edward J.,, and Whitener, Shelley. RCM Journey at Sandia National Labs (Presentation Slides).. United States: N. p., 2007. Web.
Williams, Edward J.,, & Whitener, Shelley. RCM Journey at Sandia National Labs (Presentation Slides).. United States.
Williams, Edward J.,, and Whitener, Shelley. Sun . "RCM Journey at Sandia National Labs (Presentation Slides).". United States. doi:. https://www.osti.gov/servlets/purl/1148455.
@article{osti_1148455,
title = {RCM Journey at Sandia National Labs (Presentation Slides).},
author = {Williams, Edward J., and Whitener, Shelley},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Apr 01 00:00:00 EDT 2007},
month = {Sun Apr 01 00:00:00 EDT 2007}
}

Conference:
Other availability
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  • Sandia National Laboratories has monitored NTS since 1960 in an ongoing effort to obtain prompt yield estimates. The net evolved over several years to its present layout which includes five stations distributed around the Test Site. Each station consists of short-period and wideband (0.1 to 10 Hz) instruments which are recorded on analog tape. Presently the data acquisition system is undergoing a transformation from the analog scheme to a digital system. Over the years, techniques used for the yield estimates have been refined in both areal and master event comparisons with +- 25 percent error estimates. With the new digitalmore » system, some new automated methods will be attempted to reduce the uncertainties in the yield estimates by using a larger statistical base and perhaps new analytical methods. 3 figures.« less
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