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Title: Transient multivariable sensor evaluation

Abstract

A method and system for performing transient multivariable sensor evaluation. The method and system includes a computer system for identifying a model form, providing training measurement data, generating a basis vector, monitoring system data from sensor, loading the system data in a non-transient memory, performing an estimation to provide desired data and comparing the system data to the desired data and outputting an alarm for a defective sensor.

Inventors:
;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1344488
Patent Number(s):
9,574,903
Application Number:
14/134,790
Assignee:
UChicago Argonne, LLC ANL
DOE Contract Number:  
W-31-109-ENG-38
Resource Type:
Patent
Resource Relation:
Patent File Date: 2013 Dec 19
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 47 OTHER INSTRUMENTATION

Citation Formats

Vilim, Richard B., and Heifetz, Alexander. Transient multivariable sensor evaluation. United States: N. p., 2017. Web.
Vilim, Richard B., & Heifetz, Alexander. Transient multivariable sensor evaluation. United States.
Vilim, Richard B., and Heifetz, Alexander. Tue . "Transient multivariable sensor evaluation". United States. doi:. https://www.osti.gov/servlets/purl/1344488.
@article{osti_1344488,
title = {Transient multivariable sensor evaluation},
author = {Vilim, Richard B. and Heifetz, Alexander},
abstractNote = {A method and system for performing transient multivariable sensor evaluation. The method and system includes a computer system for identifying a model form, providing training measurement data, generating a basis vector, monitoring system data from sensor, loading the system data in a non-transient memory, performing an estimation to provide desired data and comparing the system data to the desired data and outputting an alarm for a defective sensor.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Feb 21 00:00:00 EST 2017},
month = {Tue Feb 21 00:00:00 EST 2017}
}

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Works referenced in this record:

Adaptive independent vector analysis for the separation of convoluted mixtures using EM algorithm
conference, March 2008

  • Lee, Intae; Hao, Jiucang; Lee, Te-Won
  • Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • DOI: 10.1109/ICASSP.2008.4517567