Cracked rotor vibrations by multifractal analysis

TL;DR

This paper explores the use of multifractal analysis to diagnose cracks in rotors by examining the complexity and regularity of their vibration signals, providing a potential method for early damage detection.

Contribution

It demonstrates that multifractal analysis can effectively distinguish between cracked and healthy rotors based on their dynamical system properties.

Findings

Multifractal analysis indicates damage in rotor vibrations.

Complexity and regularity metrics correlate with rotor health.

Method offers a new approach for rotor fault diagnosis.

Abstract

Multifractal analysis has been used to diagnoze cracked and healthy rotors. Is has been shown that the complexity and regularity criteria of the dynamical systems defined by the multiple scaling of the time series can indicate the damages of the rotating shaft.