Model-based on-line sensor fault detection in Wireless Sensor Actuator Networks

Xuewu Dai, Fei Qin, Zhiwei Gao, Kewen Pan, Krishna Busawon

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Citations (Scopus)

Abstract

Wireless Sensor Actuator Networks (WSANs) have shown its advantages of flexibility and cable-free deployment in industrial applications. However, the sensors explore directly to the harsh environment and are the most prone to faults and malfunctioning, which poses a big challenge to the WSAN's applicability in applications with high safety requirements. This paper focuses on highly reliable WSANs equipped with double-sensing system and proposes a model-based on-line sensor fault detection scheme by exploiting information redundancy between sensors and actuators. An optimization method is developed to make the proposed scheme robust to the largely fluctuating end-to-end packet transmission delays due to wireless communications. The performance of the proposed sensor fault detection scheme is demonstrated by the simulation of a pick and place robot.
Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE 13th International Conference on Industrial Informatics (INDIN)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages556-561
ISBN (Print)978147996649315
DOIs
Publication statusPublished - 2015
Event2015 IEEE 13th International Conference on Industrial Informatics (INDIN) - Cambridge
Duration: 1 Jan 2015 → …

Conference

Conference2015 IEEE 13th International Conference on Industrial Informatics (INDIN)
Period1/01/15 → …

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