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

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

Authors

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.

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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://www.arcc-repository.org/index.php/repository/article/view/722