@inproceedings{9f570142e9f74593b7b214bb7fb3fa01,
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",
year = "2013",
doi = "10.1109/acc.2013.6580426",
language = "English (US)",
isbn = "9781479901777",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3846--3851",
booktitle = "2013 American Control Conference, ACC 2013",
address = "United States",
note = "2013 1st American Control Conference, ACC 2013 ; Conference date: 17-06-2013 Through 19-06-2013",
}