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MX2016002227A - Sistema y procedimiento de deteccion de anomalias. - Google Patents
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MX2016002227A - Sistema y procedimiento de deteccion de anomalias. - Google Patents

Sistema y procedimiento de deteccion de anomalias.

Info

Publication number
MX2016002227A
MX2016002227A MX2016002227A MX2016002227A MX2016002227A MX 2016002227 A MX2016002227 A MX 2016002227A MX 2016002227 A MX2016002227 A MX 2016002227A MX 2016002227 A MX2016002227 A MX 2016002227A MX 2016002227 A MX2016002227 A MX 2016002227A
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MX
Mexico
Prior art keywords
error vectors
time series
series data
procedure
hardware processor
Prior art date
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MX2016002227A
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English (en)
Other versions
MX368054B (es
Inventor
Puneet Agarwal
Gautam Shroff
Malhotra Pankaj
Vig Lovekesh
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Tata Consultancy Services Ltd
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Publication date
Application filed by Tata Consultancy Services Ltd filed Critical Tata Consultancy Services Ltd
Publication of MX2016002227A publication Critical patent/MX2016002227A/es
Publication of MX368054B publication Critical patent/MX368054B/es

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G06F16/2228—Indexing structures
    • G06F16/2237—Vectors, bitmaps or matrices
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23—Updating
    • G06F16/2365—Ensuring data consistency and integrity
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2433—Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/12—Classification; Matching
    • G06F2218/16—Classification; Matching by matching signal segments
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/10—Interfaces, programming languages or software development kits, e.g. for simulating neural networks

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Computing Systems (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Operations Research (AREA)
  • Probability & Statistics with Applications (AREA)
  • Algebra (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computer Security & Cryptography (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Debugging And Monitoring (AREA)

Abstract

Se proporciona un sistema y un procedimiento de detección de anomalías. Comprendiendo el sistema: un procesador de hardware; y una memoria que almacena instrucciones para configurar el procesador de hardware, en el que el procesador de hardware recibe unos primeros datos de series temporales que comprenden un primer conjunto de puntos, y unos segundos datos de series temporales que comprenden un segundo conjunto de puntos, calcula un primer conjunto de vectores de error para cada punto del primer conjunto, y un segundo conjunto de vectores de error para cada punto del segundo conjunto, comprendiendo cada conjunto de vectores de error uno o más errores de predicción; estima parámetros en base al primer conjunto de vectores de error; aplica (o usa) los parámetros en el segundo conjunto de vectores de error; y detecta una anomalía en los segundos datos de series temporales cuando los parámetros se aplican en el segundo conjunto de vectores de error.
MX2016002227A 2015-04-10 2016-02-19 Sistema y procedimiento de deteccion de anomalias. MX368054B (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IN1516MU2015 2015-04-10

Publications (2)

Publication Number Publication Date
MX2016002227A true MX2016002227A (es) 2017-01-05
MX368054B MX368054B (es) 2019-09-18

Family

ID=55398189

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2016002227A MX368054B (es) 2015-04-10 2016-02-19 Sistema y procedimiento de deteccion de anomalias.

Country Status (7)

Country Link
US (1) US10223403B2 (es)
EP (1) EP3139313B1 (es)
JP (1) JP6313730B2 (es)
AU (2) AU2016201088A1 (es)
BR (1) BR102016003934B1 (es)
CA (1) CA2921054C (es)
MX (1) MX368054B (es)

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BR102016003934A2 (pt) 2016-10-11
EP3139313B1 (en) 2021-07-21
JP2016201088A (ja) 2016-12-01
AU2018203321B2 (en) 2019-06-06
CA2921054C (en) 2020-07-07
JP6313730B2 (ja) 2018-04-18
EP3139313A2 (en) 2017-03-08
US10223403B2 (en) 2019-03-05
US20160299938A1 (en) 2016-10-13
CA2921054A1 (en) 2016-10-10
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AU2018203321A1 (en) 2018-05-31

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