Adaptive model training system and method
Abstract
An adaptive model training system and method for filtering asset operating data values acquired from a monitored asset for selectively choosing asset operating data values that meet at least one predefined criterion of good data quality while rejecting asset operating data values that fail to meet at least the one predefined criterion of good data quality; and recalibrating a previously trained or calibrated model having a learned scope of normal operation of the asset by utilizing the asset operating data values that meet at least the one predefined criterion of good data quality for adjusting the learned scope of normal operation of the asset for defining a recalibrated model having the adjusted learned scope of normal operation of the asset.
- Inventors:
- Issue Date:
- Research Org.:
- Intellectual Assets LLC, Lake Tahoe, NV, USA
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1129186
- Patent Number(s):
- 8700550
- Application Number:
- 12/798,152
- Assignee:
- Intellectual Assets LLC (Lake Tahoe, NV)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
- DOE Contract Number:
- FG02-04ER83949
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Bickford, Randall L, Palnitkar, Rahul M, and Lee, Vo. Adaptive model training system and method. United States: N. p., 2014.
Web.
Bickford, Randall L, Palnitkar, Rahul M, & Lee, Vo. Adaptive model training system and method. United States.
Bickford, Randall L, Palnitkar, Rahul M, and Lee, Vo. Tue .
"Adaptive model training system and method". United States. https://www.osti.gov/servlets/purl/1129186.
@article{osti_1129186,
title = {Adaptive model training system and method},
author = {Bickford, Randall L and Palnitkar, Rahul M and Lee, Vo},
abstractNote = {An adaptive model training system and method for filtering asset operating data values acquired from a monitored asset for selectively choosing asset operating data values that meet at least one predefined criterion of good data quality while rejecting asset operating data values that fail to meet at least the one predefined criterion of good data quality; and recalibrating a previously trained or calibrated model having a learned scope of normal operation of the asset by utilizing the asset operating data values that meet at least the one predefined criterion of good data quality for adjusting the learned scope of normal operation of the asset for defining a recalibrated model having the adjusted learned scope of normal operation of the asset.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2014},
month = {4}
}
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
Works referenced in this record:
A Survey of Intelligent Control and Health Management Technologies for Aircraft Propulsion Systems
journal, December 2004
- Litt, Jonathan S.; Simon, Donald L.; Garg, Sanjay
- Journal of Aerospace Computing, Information, and Communication, Vol. 1, Issue 12
Real-time sensor validation for autonomous flight control
conference, August 1997
- Bickford, R.; Bickmore, T.; Caluori, V.
- 33rd Joint Propulsion Conference and Exhibit
Real-time sensor validation for propulsion systems
conference, February 2013
- Bickford, R.; Bickmore, T.; Meyer, C.
- AIAA Defense and Civil Space Programs Conference and Exhibit
A survey of design methods for failure detection in dynamic systems
journal, November 1976
- Willsky, Alan S.
- Automatica, Vol. 12, Issue 6
Sequential Probability Ratio Test for Nuclear Plant Component Surveillance
journal, February 1991
- Gross, Kenny C.; Humenik, Keith E.
- Nuclear Technology, Vol. 93, Issue 2
Ground Test Facility Implementation of a Real-Time Turbine Engine Diagnostic System
conference, June 2012
- Bickford, Randall; Malloy, Donald
- 41st AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit
Comments on the sequential probability ratio testing methods
journal, July 1996
- Rácz, A.
- Annals of Nuclear Energy, Vol. 23, Issue 11
Ground Test Data Validation Using a Subscale F/A-22 Engine Inlet Empirical Model
conference, September 2008
- Bickford, Randall L.; Malloy, Donald J.; Monaco, Jeffrey F.
- ASME Turbo Expo 2006: Power for Land, Sea, and Air, Volume 2: Aircraft Engine; Ceramics; Coal, Biomass and Alternative Fuels; Controls, Diagnostics and Instrumentation; Environmental and Regulatory Affairs
Real-time sensor data validation for Space Shuttle Main Engine telemetry monitoring
conference, August 1999
- Bickford, R.; Bickmore, T.; Meyer, C.
- 35th Joint Propulsion Conference and Exhibit
Dynamics sensor validation for reusable launch vehicle propulsion
conference, August 1998
- Herzog, J.; Yue, Y.; Bickford, R.
- 34th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit
Failure detection and localization in component based systems by online tracking
conference, January 2005
- Chen, Haifeng; Jiang, Guofei; Ungureanu, Cristian
- Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05
Fault Detection for a Via Etch Process Using Adaptive Multivariate Methods
journal, November 2005
- Spitzlsperger, G.; Schmidt, C.; Ernst, G.
- IEEE Transactions on Semiconductor Manufacturing, Vol. 18, Issue 4
Real-time flight data validation for rocket engines
conference, August 1996
- Bickford, R.; Bickmore, T.; Meyer, C.
- 32nd Joint Propulsion Conference and Exhibit
On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms
journal, May 2004
- Yamanishi, Kenji; Takeuchi, Jun-ichi; Williams, Graham
- Data Mining and Knowledge Discovery, Vol. 8, Issue 3
Development of a Real-Time Turbine Engine Diagnostic System
conference, June 2012
- Bickford, Randall; Malloy, Donald
- 38th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit