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Title: An Introduction to the Bernoulli CUSUM.

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:
1374022
Report Number(s):
SAND2016-7394C
646277
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Reliability and Maintainability Symposium (RAMS) held January 23-26, 2017 in Orlando, FL.
Country of Publication:
United States
Language:
English

Citation Formats

Crowder, Stephen V. An Introduction to the Bernoulli CUSUM.. United States: N. p., 2016. Web. doi:10.1109/RAM.2017.7889762.
Crowder, Stephen V. An Introduction to the Bernoulli CUSUM.. United States. doi:10.1109/RAM.2017.7889762.
Crowder, Stephen V. 2016. "An Introduction to the Bernoulli CUSUM.". United States. doi:10.1109/RAM.2017.7889762. https://www.osti.gov/servlets/purl/1374022.
@article{osti_1374022,
title = {An Introduction to the Bernoulli CUSUM.},
author = {Crowder, Stephen V.},
abstractNote = {Abstract not provided.},
doi = {10.1109/RAM.2017.7889762},
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.

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  • Abstract not provided.
  • An important aspect of detection of anomalies in signals is the identification of changes in signal behavior caused by noise, jumps, changes in band-width, sudden pulses and signal bias. A methodology is developed to identify, isolate and characterize these anomalies using a modification of the cumulative sum (CUSUM) approach. The new algorithm performs anomaly detection at three levels and is implemented on a general purpose computer. 7 refs., 4 figs.
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