Early Detection of Mechanical Defects by Neural Networks “Spectral Analysis” (original) (raw)

Springer eBooks, 2013

Abstract

Various methods are implemented to identify the nature of a defect on a rotating machine, by using vibratory measures; they differ in their precision, simplicity of implementation and their sensitivity to errors measurement. The identification of several defects combination is still difficult to implement by conventional signal processing, as the vibration signal that emerges is disturbed, thus making any identification so hard.

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