Spatiotemporal information fusion for fault detection in shipboard auxiliary systems

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

doi:10.1109/acc.2013.6580426

Spatiotemporal information fusion for fault detection in shipboard auxiliary systems

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

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2013 American Control Conference, ACC 2013
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3846-3851
Number of pages	6
ISBN (Print)	9781479901777
DOIs	https://doi.org/10.1109/acc.2013.6580426
State	Published - 2013
Event	2013 1st American Control Conference, ACC 2013 - Washington, DC, United States Duration: Jun 17 2013 → Jun 19 2013

Publication series

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

Other

Other	2013 1st American Control Conference, ACC 2013
Country	United States
City	Washington, DC
Period	6/17/13 → 6/19/13

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/acc.2013.6580426

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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). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/acc.2013.6580426

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title = "Spatiotemporal information fusion for fault detection in shipboard auxiliary systems",

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.",

author = "Soumalya Sarkar and Nurali Virani and Murat Yasar and Asok Ray and Soumik Sarkar",

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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., 6580426, Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 3846-3851, 2013 1st American Control Conference, ACC 2013, Washington, DC, United States, 6/17/13. https://doi.org/10.1109/acc.2013.6580426

Spatiotemporal information fusion for fault detection in shipboard auxiliary systems. / Sarkar, Soumalya; Virani, Nurali; Yasar, Murat; Ray, Asok; Sarkar, Soumik.

2013 American Control Conference, ACC 2013. Institute of Electrical and Electronics Engineers Inc., 2013. p. 3846-3851 6580426 (Proceedings of the American Control Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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