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:
- Issue Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1344488
- Patent Number(s):
- 9574903
- Application Number:
- 14/134,790
- Assignee:
- UChicago Argonne, LLC
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01D - MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE
- 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. 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 = {2017},
month = {2}
}
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Adaptive independent vector analysis for the separation of convoluted mixtures using EM algorithm
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