IN2015CH01270A - - Google Patents

Info

Publication number
IN2015CH01270A
IN2015CH01270A IN1270CH2015A IN2015CH01270A IN 2015CH01270 A IN2015CH01270 A IN 2015CH01270A IN 1270CH2015 A IN1270CH2015 A IN 1270CH2015A IN 2015CH01270 A IN2015CH01270 A IN 2015CH01270A
Authority
IN
India
Prior art keywords
energy
asset
predicting
erroneous behavior
signatures
Prior art date
Application number
Inventor
Kaimalilputhenpura Prabha Baburaj
Banerjee Joy
Original Assignee
Wipro 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 Wipro Ltd filed Critical Wipro Ltd
Priority to IN1270CH2015 priority Critical patent/IN2015CH01270A/en
Publication of IN2015CH01270A publication Critical patent/IN2015CH01270A/en
Priority to US14/746,535 priority patent/US10163062B2/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric 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
    • G05B23/0221—Preprocessing 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/08—Feature extraction
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Computational Linguistics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Power Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Fuzzy Systems (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

This disclosure relates generally to predicting health of an energy asset, and more particularly to methods and systems for predicting erroneous behavior of an energy asset using fourier based clustering technique. In one embodiment, a method for determining predicting erroneous behavior of an energy asset is disclosed. The method includes creating one or more energy signatures by performing frequency domain analysis on historical energy data and subsequent clustering of the energy signatures. Further, live energy data is filtered to generate filtered outputs wherein each of the filtered outputs is mapped to a respective cluster. The outlier cluster is identified to predict the erroneous behavior of the energy asset FIG. 1
IN1270CH2015 2015-03-13 2015-03-13 IN2015CH01270A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
IN1270CH2015 IN2015CH01270A (en) 2015-03-13 2015-03-13
US14/746,535 US10163062B2 (en) 2015-03-13 2015-06-22 Methods and systems for predicting erroneous behavior of an energy asset using fourier based clustering technique

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IN1270CH2015 IN2015CH01270A (en) 2015-03-13 2015-03-13

Publications (1)

Publication Number Publication Date
IN2015CH01270A true IN2015CH01270A (en) 2015-04-10

Family

ID=54395684

Family Applications (1)

Application Number Title Priority Date Filing Date
IN1270CH2015 IN2015CH01270A (en) 2015-03-13 2015-03-13

Country Status (2)

Country Link
US (1) US10163062B2 (en)
IN (1) IN2015CH01270A (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
IN2015CH01270A (en) * 2015-03-13 2015-04-10 Wipro Ltd
CN109800890A (en) * 2019-01-31 2019-05-24 网宿科技股份有限公司 A kind of model prediction method and device
US11475010B2 (en) 2020-09-09 2022-10-18 Self Financial, Inc. Asynchronous database caching
US11641665B2 (en) * 2020-09-09 2023-05-02 Self Financial, Inc. Resource utilization retrieval and modification
US20220075877A1 (en) 2020-09-09 2022-03-10 Self Financial, Inc. Interface and system for updating isolated repositories
US11470037B2 (en) 2020-09-09 2022-10-11 Self Financial, Inc. Navigation pathway generation

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6901293B2 (en) * 2003-04-07 2005-05-31 Medtronic, Inc. System and method for monitoring power source longevity of an implantable medical device
US8706421B2 (en) * 2006-02-16 2014-04-22 Microsoft Corporation Shift-invariant predictions
US7711734B2 (en) * 2006-04-06 2010-05-04 Sas Institute Inc. Systems and methods for mining transactional and time series data
JP2010165242A (en) * 2009-01-16 2010-07-29 Hitachi Cable Ltd Method and system for detecting abnormality of mobile body
GB201008785D0 (en) * 2009-12-18 2010-07-14 Univ Gent A counter architecture for online dvfs profitability estimation
US9189485B2 (en) * 2010-04-26 2015-11-17 Hitachi, Ltd. Time-series data diagnosing/compressing method
KR101820834B1 (en) * 2011-07-20 2018-01-22 더 리전트 오브 더 유니버시티 오브 캘리포니아 Dual-pore device
US9696277B2 (en) * 2011-11-14 2017-07-04 The Regents Of The University Of California Two-chamber dual-pore device
JP5648157B2 (en) * 2011-12-28 2015-01-07 株式会社日立ハイテクノロジーズ Semiconductor manufacturing equipment
US8825567B2 (en) 2012-02-08 2014-09-02 General Electric Company Fault prediction of monitored assets
US20140099726A1 (en) * 2012-10-10 2014-04-10 Two Pore Guys, Inc. Device for characterizing polymers
US9535808B2 (en) 2013-03-15 2017-01-03 Mtelligence Corporation System and methods for automated plant asset failure detection
US10295355B2 (en) * 2014-04-04 2019-05-21 Tesla, Inc. Trip planning with energy constraint
IN2015CH01270A (en) * 2015-03-13 2015-04-10 Wipro Ltd

Also Published As

Publication number Publication date
US20160267387A1 (en) 2016-09-15
US10163062B2 (en) 2018-12-25

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