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Outlier Detection for Sensor Systems (ODSS): A MATLAB Macro for Evaluating Microphone Sensor Data Quality.

Robert Vasta1, Ian Crandell2, Anthony Millican3

  • 1Department of Mathematics, Virginia Tech, Blacksburg, VA 24061, USA. rvasta@vt.edu.

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|October 14, 2017
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Summary
This summary is machine-generated.

This study introduces a MATLAB tool for quickly assessing microphone sensor performance and detecting data irregularities. It helps ensure data quality in microphone array applications, like those in wind tunnels.

Keywords:
acoustic arraysanalyticsanomaliesoutliers

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Area of Science:

  • Acoustics and Signal Processing
  • Sensor Technology
  • Data Quality Assurance

Background:

  • Microphone sensor systems are crucial for data acquisition in various applications.
  • Large data volumes from these systems necessitate robust monitoring.
  • Potential microphone failures and data anomalies pose challenges to data integrity.

Purpose of the Study:

  • To develop and present methods for evaluating microphone sensor performance.
  • To introduce a MATLAB graphical interface for rapid identification of data irregularities.
  • To demonstrate the utility of the developed methods and interface in a practical application.

Main Methods:

  • Development of algorithms for microphone performance evaluation.
  • Implementation of a user-friendly MATLAB graphical interface.
  • Application and testing of the methodology on a microphone array in a wind tunnel environment.

Main Results:

  • The developed methods and interface enable rapid assessment of microphone sensor data.
  • Irregularities and potential failures in microphone performance can be effectively identified.
  • Successful demonstration of the system's capability in a real-world wind tunnel scenario.

Conclusions:

  • The presented approach provides an efficient means for monitoring microphone sensor data quality.
  • The MATLAB interface facilitates prompt detection of anomalies, improving data reliability.
  • This methodology is valuable for applications relying on accurate acoustic data acquisition.