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Analysis of Frequency Domain Data Generated by a Quartz Crystal

Analysis of Frequency Domain Data Generated by a Quartz Crystal
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Author(s): Fabian N. Murrieta-Rico (Universidad Politécnica de Baja California, Mexico), Moisés Rivas-López (Universidad Politécnica de Baja California, Mexico), Oleg Sergiyenko (Universidad Autónoma de Baja California, Mexico), Vitalii Petranovskii (Universidad Nacional Autónoma de México, Mexico), Joel Antúnez-García (Universidad Nacional Autónoma de México, Mexico), Julio C. Rodríguez-Quiñonez (Universidad Autónoma de Baja California, Mexico), Wendy Flores-Fuentes (Universidad Autónoma de Baja California, Mexico), Abelardo Mercado Herrera (Universidad Politécnica de Baja California, Mexico)and Araceli Gárate García (Universidad Politécnica de Baja California, Mexico)
Copyright: 2023
Pages: 13
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch136

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Abstract

During the monitoring of a process, there are multiple information sources that can generate large amounts of data in a continuous fashion. Accordingly, the appropriate use of data science tools is required. In this work, data was generated from the measurement of the frequency in a signal, whose frequency was defined by a quartz crystal. In order to generate a stable frequency, the quartz crystal was connected to a gate-oscillator. Then the frequency was measured using a frequency counter that implements the principle of rational approximations. In this method, the desired signal is compared with other signals whose frequency is known. After some conditions are fulfilled, the desired frequency is approximated. In this experimental set-up, besides of the desired frequency, other parameters were measured, such as temperature and relative humidity. As a result, a large amount of data was generated and analyzed using the principal components analysis.

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