2016
DOI: 10.1177/1077546315587146
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Model-based fatigue crack identification in rotors integrated with active magnetic bearings

Abstract: This paper investigates the behavior of a rotor-bearing system with a breathing crack, under the action of active magnetic bearings, implemented to suppress the vibration induced by the presence of the crack and the unbalance. In such a case, identification of the crack with help of vibration signals may be difficult; other observables such as the controller current may be utilized for the purpose. Linear system equations of motion together with the switching crack excitation function are used to develop the i… Show more

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Cited by 28 publications
(8 citation statements)
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“…Silva and Pederiva (2013) used SVM, fuzzy logic and ANN to detect faults in rotating parts of induction motor and further stated the superiority of SVM over other processes. Singh and Tiwari (2016, 2017) considered an active magnetic bearing mounted cracked Jeffcott rotor and monitored crack using vibration signal and controller current. With all the recent discoveries in the methodologies used to detect and diagnose faults, the proof to the fact clearly delivers their importance in the field of complex systems such as rotor shaft.…”
Section: Problems In Rotor Dynamicsmentioning
confidence: 99%
“…Silva and Pederiva (2013) used SVM, fuzzy logic and ANN to detect faults in rotating parts of induction motor and further stated the superiority of SVM over other processes. Singh and Tiwari (2016, 2017) considered an active magnetic bearing mounted cracked Jeffcott rotor and monitored crack using vibration signal and controller current. With all the recent discoveries in the methodologies used to detect and diagnose faults, the proof to the fact clearly delivers their importance in the field of complex systems such as rotor shaft.…”
Section: Problems In Rotor Dynamicsmentioning
confidence: 99%
“…Table 1 summarizes the numerical data utilized for the simulation purpose to generate responses of the system at both AMBs locations. The assumed values of unbalance eccentricity in the range of 10 −4 m have been taken from Singh and Tiwari (2015). Similarly, the values of initial radial offset, a, and manually added misalignment, ∆, between the rotor and AMB axes are assumed depending upon the condition that these values are less than AMB air gap, s 0 .…”
Section: Generation Of Numerically Simulated Responsesmentioning
confidence: 99%
“…8. The phase diagrams for both response signals have been plotted in accordance with phase correction method (Singh and Tiwari 2015) utilizing reference signal following Fig. 4.…”
Section: Quantitative Estimation Of Unbalanced and Misaligned Amb Parmentioning
confidence: 99%
“…The SFD has highly nonlinear characteristics, which creates high-amplitude bi-stable and nonsynchronous responses for the rotors. The large-amplitude response can result in rotor rubs and fatigue [27]. The rotating machinery support of the aeroengine will endure a severe bad working condition when the aircraft operates at high speeds.…”
Section: Introductionmentioning
confidence: 99%