Sampling schedule optimization of embedded wireless sensors for degradation monitoring

Petek Yantay, Rong Pan, O. Arda Vanli

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

Abstract

Inexpensive wireless sensors can be embedded in structural materials to detect defects. These sensors provide in-situ diagnosis of the system's health, thus invaluable information to decision makers for system maintenance and repair. For example, lamb wave sensors that are embedded in carbon fiber composites can monitor the material integrity by detecting and quantifying fiber delaminations and breakages. Although they are relatively easy to be deployed, their lifetimes are limited due to power consumption and they cannot be replaced without interrupting the operation of system. In this paper, we discuss a sampling method that is based on the material's degradation model for activating sensors and collecting health information. We are interested in predicting the time of failure with a few numbers of signals and with statistical efficiency. Our method is good for the in-situ health monitoring, where the system's failure time is of concern and the sensor's power conservation is required.

Original languageEnglish (US)
Title of host publicationPHM 2013 - 2013 IEEE International Conference on Prognostics and Health Management, Conference Proceedings
DOIs
StatePublished - Dec 6 2013
Event2013 IEEE International Conference on Prognostics and Health Management, PHM 2013 - Gaithersburg, MD, United States
Duration: Jun 24 2013Jun 27 2013

Publication series

NamePHM 2013 - 2013 IEEE International Conference on Prognostics and Health Management, Conference Proceedings

Other

Other2013 IEEE International Conference on Prognostics and Health Management, PHM 2013
CountryUnited States
CityGaithersburg, MD
Period6/24/136/27/13

Keywords

  • Bayesian estimation
  • Condition monitoring
  • Degradation models
  • Wiener process

ASJC Scopus subject areas

  • Health Informatics
  • Health Information Management

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  • Cite this

    Yantay, P., Pan, R., & Vanli, O. A. (2013). Sampling schedule optimization of embedded wireless sensors for degradation monitoring. In PHM 2013 - 2013 IEEE International Conference on Prognostics and Health Management, Conference Proceedings [6621414] (PHM 2013 - 2013 IEEE International Conference on Prognostics and Health Management, Conference Proceedings). https://doi.org/10.1109/ICPHM.2013.6621414