Issue 10, 2015

A statistical method for assessing network stability using the Chow test

Abstract

A statistical method is proposed for the assessment of stability in noise monitoring networks. The technique makes use of a variation of the Chow test applied between multiple measurement nodes placed at different locations and its novelty lies in the way it utilises a simple statistical test based on linear regression to uncover complex issues that can be difficult to expose otherwise. Measurements collected by a noise monitoring network deployed in the center of Pisa are used to demonstrate the capabilities and limitations of the test. It is shown that even in urban environments, where great soundscape variations are exhibited, accurate and robust results can be produced regardless of the proximity of the compared sensors as long as they are located in acoustically similar environments. Also it is shown that variations of the same method can be applied for self-testing on data collected by single stations. Finally it is presented that the versatility of the test makes it suitable for detection of various types of issues that can occur in real life network implementations; from slow drifts away from calibration, to severe, abrupt failures and noise floor shifts.

Graphical abstract: A statistical method for assessing network stability using the Chow test

Article information

Article type
Paper
Submitted
10 Jul 2015
Accepted
07 Sep 2015
First published
15 Sep 2015

Environ. Sci.: Processes Impacts, 2015,17, 1841-1850

Author version available

A statistical method for assessing network stability using the Chow test

K. Sotirakopoulos, R. Barham, B. Piper and L. Nencini, Environ. Sci.: Processes Impacts, 2015, 17, 1841 DOI: 10.1039/C5EM00325C

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements