Robust Identification of Glass Breaks Acoustic Signals Based on Wavelet Transformation and Rock Solid Attributes

Ireneusz Bemke, Romuald Zielonko

Abstract

Analysis of acoustic signals is a popular method of wireless detection of glass breaks in alarm systems. In most cases detection of some frequencies is applied for this purpose. Unfortunately, methods like this are not enough resistant to other (false) signals. Better results can be achieved using of JTFA for signal decomposition. To develop a robust method of glass breaks detection the authors applied Wavelet Transformation (WT). First results presented in [1] and [2] did not meet strong requirements of VdS standard. In this paper a new approach based on Rock Solid Attributes (used in geology) and Wavelet Transformation is presented. The main subject of the paper is the application of instantaneous Rock Solid Attributes to improve detectability of true glass breaks signals, and resistance to false signals.

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DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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