Can a Machine Be Trained to Reliably Report the Operational Status of Building Equipment Systems through Simply Listening? And If It Can, So What?

  • Paul Woods
  • Hoonsik Seo
  • Ken Parker
  • Richard Burt
  • Emmit Coots
  • Zeena Pinto
  • Seongchan Kim

Abstract

The purpose of this research is to determine the system-wide reliability of the Acoustic Information and Retrieval System (AIRS); and if the reliability is good, describe the potential importance of this new data-acquisition system to architectural research.

Published
2019-06-11
How to Cite
Woods, P., Seo, H., Parker, K., Burt, R., Coots, E., Pinto, Z., & Kim, S. (2019). Can a Machine Be Trained to Reliably Report the Operational Status of Building Equipment Systems through Simply Listening? And If It Can, So What?. ARCC Conference Repository, 1(1). Retrieved from https://arcc-repository.org/index.php/repository/article/view/722