Publications

@inproceedings{Sarlo2019b,
title = {Modal parameter uncertainty estimates as a tool for automated operational modal analysis: Applications to a smart building},
author = {Rodrigo Sarlo and Pablo A Tarazaga},
doi = {10.1007/978-3-319-74421-6_23},
issn = {21915652},
year = {2019},
date = {2019-01-01},
booktitle = {Conference Proceedings of the Society for Experimental Mechanics Series},
abstract = {textcopyright The Society for Experimental Mechanics, Inc 2019. The knowledge of modal parameter uncertainties derived from operational modal analysis (OMA) can greatly improve automated decisions by providing information about the quality of the modal identification. Yet so far, this information has been largely ignored in continuous monitoring studies on civil infrastructure, especially with respect to buildings. In this paper, we implement an automated version of Covariance Based Stochastic Subspace Identification on a highly instrumented smart building. An expansion of the technique estimates uncertainty bounds for all modal parameters. Through a series of full scale experiments, we demonstrate how uncertainties are valuable tools in various contexts of automation. These include the identification and removal of badly-fitted modes, the identification of periods of high signal-to-noise ratio, and the validation of reference sensors selection.},
keywords = {Automation, Buildings, Instrumentation, Modal analysis, Uncertainty},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{SarloIMAC2018,
title = {Modal Parameter Uncertainty Estimates as a Tool for Automated Operational Modal Analysis : Applications to a Smart Building},
author = {Rodrigo Sarlo and Pablo A Tarazaga},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of 36th International Modal Analysis Conference (IMAC-XXXVI): A Conference on Structural Dynamics, Vol. 1},
publisher = {Springer},
address = {Orlando, Florida},
keywords = {Automation, Buildings, Instrumentation, Modal analysis, Uncertainty},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Sarlo2016c,
title = {Measuring Violin Bow Force During Performance},
author = {Rodrigo Sarlo and David Ehrlich and Pablo A Tarazaga},
year = {2016},
date = {2016-01-01},
booktitle = {Interational Modal Analysis Conference},
publisher = {Society of Experimental Mechanics},
address = {Orlando, Florida},
keywords = {bow, Force, Instrumentation, Strain, violin},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Sarlo2016c,
title = {Measuring violin bow force during performance},
author = {Rodrigo Sarlo and David Ehrlich and Pablo A Tarazaga},
doi = {10.1007/978-3-319-29859-7_5},
issn = {21915652 21915644},
year = {2016},
date = {2016-01-01},
booktitle = {Conference Proceedings of the Society for Experimental Mechanics Series},
volume = {5},
abstract = {textcopyright The Society for Experimental Mechanics, Inc. 2016.Violin bowing is a complex skill and controls a majority of the sound produced by the instrument. Yet despite significant interest in the modal analysis of violins, comparatively little work has been done to study the complexities of this "input." In this work, we have used fiber optic strain sensors, a modern strain sensing technology, to test a novel method for measuring bowing force during violin performance. Gaining greater insight into how violinists vary bowing force to create sound could not only lead to better violin excitation methods for modal analysis but might also key in discovering indicators of violin quality and musician preferences. Live performance testing was performed by a professional violinist on two violins of differing quality and at different volume levels. The results showed a log-linear relation between bowing force and volume. In addition, a bowing gesture named the "average down-up stroke" was found by averaging several similar gestures. Its duration was observably longer for a high quality violin compared to a fair quality sibling. Such a measure could be adapted for various gestures and styles and subsequently be explored as a potential indicator of violin quality or player preference.},
keywords = {[Bow, bow, Force, Instrumentation, Musical Instruments, Strain, Violin]},
pubstate = {published},
tppubtype = {inproceedings}
}