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SG10201903611RA - Method and system for determining an error threshold value for machine failure prediction - Google Patents

Method and system for determining an error threshold value for machine failure prediction

Info

Publication number
SG10201903611RA
SG10201903611RA SG10201903611RA SG10201903611RA SG10201903611RA SG 10201903611R A SG10201903611R A SG 10201903611RA SG 10201903611R A SG10201903611R A SG 10201903611RA SG 10201903611R A SG10201903611R A SG 10201903611RA SG 10201903611R A SG10201903611R A SG 10201903611RA
Authority
SG
Singapore
Prior art keywords
determining
threshold value
error threshold
failure prediction
machine failure
Prior art date
Application number
SG10201903611RA
Inventor
Bhandary Chiranjib
Original Assignee
Avanseus Holdings Pte Ltd
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 Avanseus Holdings Pte Ltd filed Critical Avanseus Holdings Pte Ltd
Publication of SG10201903611RA publication Critical patent/SG10201903611RA/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/0751Error or fault detection not based on redundancy
    • G06F11/0754Error or fault detection not based on redundancy by exceeding limits
    • G06F11/076Error or fault detection not based on redundancy by exceeding limits by exceeding a count or rate limit, e.g. word- or bit count limit
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/008Reliability or availability analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/0706Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
    • G06F11/073Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in a memory management context, e.g. virtual memory or cache management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Complex Calculations (AREA)
SG10201903611RA 2019-03-20 2019-04-23 Method and system for determining an error threshold value for machine failure prediction SG10201903611RA (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IN201911010877 2019-03-20

Publications (1)

Publication Number Publication Date
SG10201903611RA true SG10201903611RA (en) 2020-10-29

Family

ID=72515808

Family Applications (1)

Application Number Title Priority Date Filing Date
SG10201903611RA SG10201903611RA (en) 2019-03-20 2019-04-23 Method and system for determining an error threshold value for machine failure prediction

Country Status (2)

Country Link
US (1) US11636001B2 (en)
SG (1) SG10201903611RA (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2023530893A (en) * 2020-06-22 2023-07-20 アイディー メトリクス グループ インコーポレイテッド Data processing and trading decision system
US12072781B2 (en) * 2020-12-23 2024-08-27 Intel Corporation Methods and apparatus for continuous monitoring of telemetry in the field

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110106734A1 (en) * 2009-04-24 2011-05-05 Terrance Boult System and appartus for failure prediction and fusion in classification and recognition
US20180046151A1 (en) * 2015-03-11 2018-02-15 Siemens Indsutry, Inc. Cascaded identification in building automation
US20210002728A1 (en) * 2018-02-27 2021-01-07 Cornell University Systems and methods for detection of residual disease
US10460235B1 (en) * 2018-07-06 2019-10-29 Capital One Services, Llc Data model generation using generative adversarial networks

Also Published As

Publication number Publication date
US11636001B2 (en) 2023-04-25
US20200301769A1 (en) 2020-09-24

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