Spatiotemporal information fusion for fault detection in shipboard auxiliary systems

Soumalya Sarkar, Nurali Virani, Murat Yasar, Asok Ray, Soumik Sarkar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

This paper addresses the issues of data analysis and sensor fusion that are critical for information management leading to (real-time) fault detection and classification in distributed physical processes (e.g., shipboard auxiliary systems). The proposed technique utilizes a semantic framework for multi-sensor data modeling, where the complexity is reduced by pruning the sensor network through an information-theoretic (e.g., mutual information-based) approach. The underlying algorithms are developed to achieve high reliability and computational efficiency while retaining the essential spatiotemporal characteristics of the physical system. The concept is validated on a simulation test bed of shipboard auxiliary systems.

Original languageEnglish (US)
Title of host publication2013 American Control Conference, ACC 2013
Pages3846-3851
Number of pages6
StatePublished - Sep 11 2013
Event2013 1st American Control Conference, ACC 2013 - Washington, DC, United States
Duration: Jun 17 2013Jun 19 2013

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2013 1st American Control Conference, ACC 2013
CountryUnited States
CityWashington, DC
Period6/17/136/19/13

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Sarkar, S., Virani, N., Yasar, M., Ray, A., & Sarkar, S. (2013). Spatiotemporal information fusion for fault detection in shipboard auxiliary systems. In 2013 American Control Conference, ACC 2013 (pp. 3846-3851). [6580426] (Proceedings of the American Control Conference).