WO2015176937A9 - Confidence estimatation of estimated parameters on the basis of feature values - Google Patents

Confidence estimatation of estimated parameters on the basis of feature values Download PDF

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Publication number
WO2015176937A9
WO2015176937A9 PCT/EP2015/059468 EP2015059468W WO2015176937A9 WO 2015176937 A9 WO2015176937 A9 WO 2015176937A9 EP 2015059468 W EP2015059468 W EP 2015059468W WO 2015176937 A9 WO2015176937 A9 WO 2015176937A9
Authority
WO
WIPO (PCT)
Prior art keywords
estimatation
confidence
basis
feature values
estimated parameters
Prior art date
Application number
PCT/EP2015/059468
Other languages
German (de)
French (fr)
Other versions
WO2015176937A2 (en
Inventor
Felix Klanner
Christian Ruhhammer
Nils HIRSENKORN
Original Assignee
Bayerische Motoren Werke Aktiengesellschaft
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Bayerische Motoren Werke Aktiengesellschaft filed Critical Bayerische Motoren Werke Aktiengesellschaft
Publication of WO2015176937A2 publication Critical patent/WO2015176937A2/en
Publication of WO2015176937A9 publication Critical patent/WO2015176937A9/en

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Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0221Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Medical Informatics (AREA)
  • Computational Mathematics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Operations Research (AREA)
  • Probability & Statistics with Applications (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Automation & Control Theory (AREA)
  • Traffic Control Systems (AREA)
PCT/EP2015/059468 2014-05-21 2015-04-30 Confidence estimatation of estimated parameters on the basis of feature values WO2015176937A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102014209681.2 2014-05-21
DE102014209681.2A DE102014209681A1 (en) 2014-05-21 2014-05-21 Confidence estimate of estimated parameters based on feature values

Publications (2)

Publication Number Publication Date
WO2015176937A2 WO2015176937A2 (en) 2015-11-26
WO2015176937A9 true WO2015176937A9 (en) 2016-06-02

Family

ID=53180721

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2015/059468 WO2015176937A2 (en) 2014-05-21 2015-04-30 Confidence estimatation of estimated parameters on the basis of feature values

Country Status (2)

Country Link
DE (1) DE102014209681A1 (en)
WO (1) WO2015176937A2 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102019218078B4 (en) * 2019-11-22 2024-04-18 Zf Friedrichshafen Ag Determination of a situation in the environment of a motor vehicle

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102004063388A1 (en) * 2004-12-23 2006-07-13 Medav Gmbh Adaptive classification process used in the quality assessment of manufactured products uses quality vector and adaptive limits
US20120314070A1 (en) * 2011-06-09 2012-12-13 GM Global Technology Operations LLC Lane sensing enhancement through object vehicle information for lane centering/keeping

Also Published As

Publication number Publication date
DE102014209681A1 (en) 2015-11-26
WO2015176937A2 (en) 2015-11-26

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