Adaptive model training system and method

Bickford, Randall L; Palnitkar, Rahul M

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A - human necessities
A01 - agriculture
A21 - baking
A22 - butchering
A23 - foods or foodstuffs
A24 - tobacco
A41 - wearing apparel
A42 - headwear
A43 - footwear
A44 - haberdashery
A45 - hand or travelling articles
A46 - brushware
A47 - furniture
A61 - medical or veterinary science
A62 - life-saving
A63 - sports
A99 - subject matter not otherwise provided for in this section
B - performing operations
B01 - physical or chemical processes or apparatus in general
B02 - crushing, pulverising, or disintegrating
B03 - separation of solid materials using liquids or using pneumatic tables or jigs
B04 - centrifugal apparatus or machines for carrying-out physical or chemical processes
B05 - spraying or atomising in general
B06 - generating or transmitting mechanical vibrations in general
B07 - separating solids from solids
B08 - cleaning
B09 - disposal of solid waste
B21 - mechanical metal-working without essentially removing material
B22 - casting
B23 - machine tools
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B25 - hand tools
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B27 - working or preserving wood or similar material
B28 - working cement, clay, or stone
B29 - working of plastics
B30 - presses
B31 - making articles of paper, cardboard or material worked in a manner analogous to paper
B32 - layered products
B33 - additive manufacturing technology
B41 - printing
B42 - bookbinding
B43 - writing or drawing implements
B44 - decorative arts
B60 - vehicles in general
B61 - railways
B62 - land vehicles for travelling otherwise than on rails
B63 - ships or other waterborne vessels
B64 - aircraft
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B66 - hoisting
B67 - opening, closing {or cleaning} bottles, jars or similar containers
B68 - saddlery
B81 - microstructural technology
B82 - nanotechnology
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C - chemistry
C01 - inorganic chemistry
C02 - treatment of water, waste water, sewage, or sludge
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C12 - biochemistry
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C22 - metallurgy
C23 - coating metallic material
C25 - electrolytic or electrophoretic processes
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D - textiles
D01 - natural or man-made threads or fibres
D02 - yarns
D03 - weaving
D04 - braiding
D05 - sewing
D06 - treatment of textiles or the like
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D10 - indexing scheme associated with sublasses of section d, relating to textiles
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F - mechanical engineering
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G - physics
G01 - measuring
G02 - optics
G03 - photography
G04 - horology
G05 - controlling
G06 - computing
G07 - checking-devices
G08 - signalling
G09 - education
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Title: 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:: Bickford, Randall L; Palnitkar, Rahul M

Issue Date:: 2014-11-18

Research Org.:: Intellectual Assets LLC, Lake Tahoe, NV (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1163977

Patent Number(s):: 8892478

Application Number:: 13/803,436

Assignee:: Intellectual Assets LLC (Lake Tahoe, NV)

Patent Classifications (CPCs):: G - PHYSICS G01 - MEASURING G01K - MEASURING TEMPERATURE

G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES

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G - PHYSICS G01 - MEASURING G01K - MEASURING TEMPERATURE
G01K15/005 - {Calibration}

G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
G01N21/274 - {Calibration, base line adjustment, drift correction}

G - PHYSICS G01 - MEASURING G01R - MEASURING ELECTRIC VARIABLES
G01R35/005 - {Calibrating

G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
G05B13/02 - electric
G05B23/0235 - {based on a comparison with predetermined threshold or range, e.g. "classical methods", carried out during normal operation

G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
G06F17/10 - Complex mathematical operations {

G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
G06N20/00 - Machine learning
G06N3/004 - {Artificial life, i.e. computers simulating life}
G06N3/08 - Learning methods
G06N5/02 - Knowledge representation
G06N5/04 - Inference methods or devices

G - PHYSICS G06 - COMPUTING G06Q - DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
G06Q50/06 - Electricity, gas or water supply

H - ELECTRICITY H02 - GENERATION H02J - CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER
H02J3/00 - Circuit arrangements for ac mains or ac distribution networks

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DOE Contract Number:: FG02-04ER83949

Resource Type:: Patent

Resource Relation:: Patent File Date: 2013 Mar 14

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Bickford, Randall L, and Palnitkar, Rahul M. Adaptive model training system and method.  United States: N. p., 2014. 
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                    Bickford, Randall L, & Palnitkar, Rahul M. Adaptive model training system and method.  United States.

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                    Bickford, Randall L, and Palnitkar, Rahul M. Tue .  
        "Adaptive model training system and method".  United States.  https://www.osti.gov/servlets/purl/1163977.

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@article{osti_1163977,

  title        = {Adaptive model training system and method},

  author       = {Bickford, Randall L and Palnitkar, Rahul M},

  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        = {11}

}

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