2010
DOI: 10.1177/1077546309360050
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Auxiliary state variables for rotor crack detection

Abstract: In the present study, a new model-based method for rotor crack detection and crack location is proposed. The finiteelement model of the rotor-bearing system accounts for the breathing mechanism of the crack. The model of the rotor system is augmented with an auxiliary single-degree-of-freedom oscillator. The observer is designed and the estimates of its two auxiliary state variables are proposed as crack indicators. The crack location along the shaft is determined by designing a set of observers, which calcula… Show more

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Cited by 27 publications
(8 citation statements)
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“…Other methods include changes in rotor modal parameters such as its natural frequencies and mode shapes [3,4], state observers [5,6], Kalman filters [7], genetic algorithms [8], wavelet [9,10] or Huang-Hilbert transforms [11], and many others.…”
Section: Controlled Deflection Approach For Rotor Crack Detectionmentioning
confidence: 99%
“…Other methods include changes in rotor modal parameters such as its natural frequencies and mode shapes [3,4], state observers [5,6], Kalman filters [7], genetic algorithms [8], wavelet [9,10] or Huang-Hilbert transforms [11], and many others.…”
Section: Controlled Deflection Approach For Rotor Crack Detectionmentioning
confidence: 99%
“…Morais et al (2008) used orthogonal functions to identify cracks in a horizontal rotating machine. Kulesza and Sawicki (2010) presented a crack detection methodology based on Luenberger state observers. The estimated lateral displacements and velocities of the shaft were used as crack indicators.…”
Section: Introductionmentioning
confidence: 99%
“…Also a novel signal-based approach, based on support vector machine (SVM) and wavelets as an example for a modern machine learning technique, was introduced. When compared to complicated modelbased [20][21][22][23][24][25], modal testing [26,27] or non-traditional [13,14,[28][29][30][31][32] techniques, the methods based on vibration signal analysis are quick, low cost and simple. They utilize popular, commonly used measurement equipment and well-established computational procedures and software.…”
Section: Introductionmentioning
confidence: 99%