Motion of an imbalanced rotor when it rubs against the stator

Kostyuk, A. G.; Shatokhin, V. F.; Volokhovskaya, O. A.

doi:10.1134/s0040601512020085

Cited by 11 publications

(3 citation statements)

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“…The studies for rolling bearing are wide, while most researches concentrate on bearing chock signal rather than casing signal at present. The casing vibration signal is far weaker and more complicated than bearing chock signal as it comprehensively reflects the situations of many parts, combined with energy attenuation, noise effect and signal distortion [4]. All these lead to a great difference between theoretical study and practical application research and increase the difficulty of extracting rolling bearing fault characteristics from casing signal.…”

Section: Introductionmentioning

confidence: 99%

Casing vibration signal characteristic extractions and applications in rolling bearing

Qiao¹,

An²,

Yu³

et al. 2021

J. vibroeng.

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A method of combining autocorrelation function with cyclostationary theory and Hilbert envelope analysis is proposed and applied to extract characteristic frequency of rolling bearing. Meanwhile, mean power ratio is calculated and used to identify the fault types of aero-engine rolling bearing based on single-channel casing vibration signal. To verify the effectiveness of proposed method, a comparing analysis is carried out between traditional studies and proposed new method. Furthermore, the influences on the extraction of characteristics and calculation of mean power ratio are taken into account, including the ones of sensor installation position, fault types, type of experiment rigs, failure mode and rotational speed of rolling bearing. The result shows that the proposed method can diagnose running conditions and identify fault types of rolling bearing accurately and effectively just by single-channel casing vibration signal.

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Section: Introductionmentioning

confidence: 99%

Casing vibration signal characteristic extractions and applications in rolling bearing

Qiao¹,

An²,

Yu³

et al. 2021

J. vibroeng.

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show abstract

“…The casing signal is a comprehensive reflection of many parts [7,8]. The signal distortion, energy attenuation and noise effect drastically increases the weakness and complexity of fault characteristics information of casing signal [9], and tremendously increases the difficulty of fault diagnosis in large-scale rotation machines.…”

Section: Introductionmentioning

confidence: 99%

A novel method of weakness imbalance fault identification and application in aero-hydraulic pump

Yu¹,

Cheng²,

Pan³

et al. 2019

J. vibroeng.

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A method of combining auto-correlation and Hilbert envelope analysis is proposed and used to identify weakness imbalance fault of aero-hydraulic pump, the central part of hydraulic system of aircraft. Firstly, the integral and polynomial least square fitting is applied to convert acceleration signal to velocity one; secondly, the Hilbert envelope spectrum of auto-correlation function of velocity signal is obtained and used to identify the weakness imbalance fault of aero-hydraulic pump; finally, the energy ratio of velocity signal is calculated according to Hilbert envelope spectrum for identifying imbalance fault of aero-hydraulic pump by means of easier and more visual method. Meanwhile, the comparing analysis is carried out between traditional research method and proposed new one. The result shows that the weakness imbalance fault of aero-hydraulic pump can be identified and diagnosed effectively and correctly according to the velocity signal whether Hilbert envelope spectrum or calculation energy ratio while direct acceleration signal cannot.

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“…Rubbing is a kind of common and serious nonlinear fault of aero-engine, which not only affects the service life of the equipments but also is likely to cause tremendous economic loss and casualties. 1 It is important to determine the causes for the rubbing fault characteristics early, and it is of great economic and important theoretical value to find the reason for the fault, improve design, avoid accidents and improve the work-safety of aero-engines. The rubbing fault characteristics of real aero-engines are particularly difficult to be extracted due to the limited number of stops, inconvenience of disassembly, occasionality, and difficulty to emerge.…”

Section: Introductionmentioning

confidence: 99%

A new characteristic analysis method for aero-engine rotor–stator rubbing

Zhang

Huang

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part G:

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Aero-engine fault diagnosis is often studied according to casing signal owing to the inconvenience of assembly and structural limitations. Satisfactory result by cyclic statistics alone is difficult to obtain because casing signal is weak and complex. Based on this, a cyclostationary theory combined with autocorrelation function and Hilbert transform is applied to extract the characteristics of aero-engine rotor–stator rubbing fault according to the aero-engine structure and rotating features with regard to of single-point rubbing and local rubbing. Signal autocorrelation function is analyzed by cyclic autocorrelation function and Hilbert transform, in order to extract rubbing characteristics based on casing signal of aero-engine and reduce inconsistent frequency in the frequency spectrum between time-delay signal of cyclic frequency slice position and original signal. Meanwhile, consideration is given to the influence of rubbing position and sensor installation position in the extraction of rubbing characteristics. Finally, the Hilbert envelope spectrum is compared and analyzed between normal running and occurrence of the rubbing faults of aero-engines. The result indicates that the different cyclic frequency positions slice signal's Hilbert envelop spectrum of signal autocorrelation function, but not original acceleration signal which has outstanding characteristic frequency for rubbing frequency (product between blade numbers and rotating frequency) and its twice frequency when rubbing fault occurs not only in single rubbing but also in local partial rubbing. Meanwhile, when compared with the original vibration signal slice, inconsistent frequency of the autocorrelation function slice in the Hilbert envelope spectrum is decreased considerably.

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Motion of an imbalanced rotor when it rubs against the stator

Cited by 11 publications

References 0 publications

Casing vibration signal characteristic extractions and applications in rolling bearing

Casing vibration signal characteristic extractions and applications in rolling bearing

A novel method of weakness imbalance fault identification and application in aero-hydraulic pump

A new characteristic analysis method for aero-engine rotor–stator rubbing

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