Abstract
This paper presents an algorithm for isolating a useful acoustic signal (corresponding to damage accumulation) against the background of a signal used to model the performance of an industrial rotary equipment. Acoustic emission signals induced by deformation and fracture were studied using a uniaxial tensile test on woven laminate samples cut along the fiber and weft directions. The background signal is a random composition of acoustic pulses used to model the performance of an industrial rotary equipment. A comparison of useful and noise signals enables us to develop two algorithms based on frequency filtering of a signal and its decomposition into empirical modes. These algorithms can be used to isolate useful AE pulses against the background of all signal intensities under consideration.
Highlights
The steadily increasing requirement for the specific weight of samples designed for automotive, aircraft and space engineering is one of the main reasons to replace metal parts with various composites [1,2,3,4,5,6]
This paper presents an algorithm for isolating a useful acoustic signal against the background of a signal used to model the performance of an industrial rotary equipment
Acoustic emission signals induced by deformation and fracture were studied using a uniaxial tensile test on woven laminate samples cut along the fiber and weft directions
Summary
The steadily increasing requirement for the specific weight of samples designed for automotive, aircraft and space engineering is one of the main reasons to replace metal parts with various composites (carbon–carbon, carbon fiber and fiberglass, woven, knitted, stitched, etc.) [1,2,3,4,5,6]. Abstract: This paper presents an algorithm for isolating a useful acoustic signal (corresponding to damage accumulation) against the background of a signal used to model the performance of an industrial rotary equipment.
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