Identification of statistical patterns in complex systems via symbolic time series analysis

Shalabh Gupta, Amol Khatkhate, Asok Ray, Eric Keller

    Research output: Contribution to journalArticle

    6 Citations (Scopus)

    Abstract

    Identification of statistical patterns from observed time series of spatially distributed sensor data is critical for performance monitoring and decision making in human-engineered complex systems, such as electric power generation, petrochemical, and networked transportation. This paper presents an information-theoretic approach to identification of statistical patterns in such systems, where the main objective is to enhance structural integrity and operation reliability. The core concept of pattern identification is built upon the principles of Symbolic Dynamics, Automata Theory, and Information Theory. To this end, a symbolic time series analysis method has been formulated and experimentally validated on a special-purpose test apparatus that is designed for data acquisition and real-time analysis of fatigue damage in polycrystalline alloys.

    Original languageEnglish (US)
    Pages (from-to)477-490
    Number of pages14
    JournalISA Transactions
    Volume45
    Issue number4
    DOIs
    StatePublished - Jan 1 2006

    Fingerprint

    Automata theory
    Symbolic Analysis
    Electric power generation
    time series analysis
    Time series analysis
    Information theory
    Time Series Analysis
    Fatigue damage
    Structural integrity
    complex systems
    Petrochemicals
    Large scale systems
    Time series
    Data acquisition
    Complex Systems
    Identification (control systems)
    Decision making
    Monitoring
    automata theory
    Sensors

    All Science Journal Classification (ASJC) codes

    • Instrumentation
    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Applied Mathematics

    Cite this

    Gupta, Shalabh ; Khatkhate, Amol ; Ray, Asok ; Keller, Eric. / Identification of statistical patterns in complex systems via symbolic time series analysis. In: ISA Transactions. 2006 ; Vol. 45, No. 4. pp. 477-490.
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    Identification of statistical patterns in complex systems via symbolic time series analysis. / Gupta, Shalabh; Khatkhate, Amol; Ray, Asok; Keller, Eric.

    In: ISA Transactions, Vol. 45, No. 4, 01.01.2006, p. 477-490.

    Research output: Contribution to journalArticle

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