Analysis of middle bearing failure in rotor jet engine using tip-timing and tip-clearance techniques

Rządkowski, Romuald; Rokicki, Edward; Piechowski, L.; Szczepanik, Ryszard

doi:10.1016/j.ymssp.2016.01.014

Cited by 32 publications

(17 citation statements)

References 25 publications

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“…Przysowa et al [2,3] presented a tip-timing system and its measurements of last-stage rotor blades in a vacuum spin chamber during run-down. A review of tip-timing models is presented in Rzadkowski et al [4]. The crack propagation using tip-timing of rotor blades is presented in Rzadkowski at el.…”

Section: Introductionmentioning

confidence: 99%

Tip-Timing Measurements and Numerical Analysis of Last-Stage Steam Turbine Mistuned Bladed Disc During Run-Down

Rządkowski

Kubitz

Maziarz

et al. 2019

J. Vib. Eng. Technol.

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Background This paper presents the experimental and numerical studies of last-stage low-pressure (LP) mistuned steam turbine bladed discs during run-down. Methods The natural frequencies and mode shapes of the turbine bladed disc were calculated using an FE model. The influence of the shaft on the modal properties, such as natural frequencies and mode shapes, was considered. The tip-timing method was used to find the mistuned bladed disc modes and frequencies. Conclusions The experimental results from the tip-timing analysis show that the mistuning in combination with shaft coupling suppresses pure nodal diameter type blade vibrations associated with the fundamental mode shape of a cantilevered blade. Vibration modes emerge when even a single blade is vibrating due to the well-known mode localization caused by mistuning. The numerical results confirm this.

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Section: Introductionmentioning

confidence: 99%

Tip-Timing Measurements and Numerical Analysis of Last-Stage Steam Turbine Mistuned Bladed Disc During Run-Down

Rządkowski

Kubitz

Maziarz

et al. 2019

J. Vib. Eng. Technol.

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“…e extracted vibrations of this single blade can then be analyzed for possible occurrence of blade rubbing [19], blade cracks or loosing [20], or other blade faults [21,22] by analyzing time differences of blade passages in different rotor revolutions. e tip-timing method requires special measurement equipment [23][24][25][26] and has its long history, well presented by Rzadkowski et al [27].…”

Section: Introductionmentioning

confidence: 99%

Rotor Blades Diagnosis Method Based on Differences in Phase Shifts

Grądzki

Lindstedt

Kulesza

et al. 2018

Shock and Vibration

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In this work, an innovative diagnosis method of rotor blades is presented. A measurement signal of blade tip displacement is divided into two observation zones, in which two peaks of an additional template signal are introduced. Cross-correlation and power spectral density functions of the measurement and template signals in these two distinct zones are calculated. Next, the phase shift between the two cross-correlation functions is obtained by calculating the ratio of the two power spectral density functions. The changes in parameters of an analytical description of this phase shift are used to determine a distinct and easy-to-analyze image of the technical condition of the tested blade. A graphical portrait indicating the technical condition of all blades in the annulus is developed. Although not directly measured, environmental signals (e.g., external disturbances and sensor’s noise) affecting the diagnostic process are included in the method. It is demonstrated that, by using the proposed signal processing technique, a negative influence of these disturbances is eliminated and the reliability of the machine technical condition indications is improved. The approach is demonstrated using experimental results of turbine engine blade displacements. High effectiveness of the method and measurement equipment has been confirmed in a wide range of analyzed tip-timing results obtained in different periods of the measurement process.

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“…How to monitor the blade condition on-line has been a research hotspot in recent years. Among many monitoring methods, blade tip timing is considered to be one of the most promising methods due to the advantages of its ability to make non-contact measurements and its low cost [ 4 , 5 , 6 , 7 ]. However, BTT data is always an under-sampled signal due to the restriction of probe quantities [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

A Blade Defect Diagnosis Method by Fusing Blade Tip Timing and Tip Clearance Information

Zhang

Duan

2018

Sensors

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Blade tip timing (BTT) technology is considered the most promising method for blade vibration measurements due to the advantages of its simplicity and non-contact measurement capacity. Nevertheless, BTT technology still suffers from two problems, which are (1) the requirements of domain expertise and prior knowledge of BTT signals analysis due to severe under-sampling; and (2) that the traditional BTT method can only judge whether there is a defect in the blade but it cannot judge the severity and the location of the defect. Thus, how to overcome the above drawbacks has become a big challenge. Aiming at under-sampled BTT signals, a feature learning method using a convolutional neural network (CNN) is introduced. In this way, some new fault-sensitive features can be adaptively learned from raw under-sampled data and it is therefore no longer necessary to rely on prior knowledge. At the same time, research has found that tip clearance (TC) is also very sensitive to the blade state, especially regarding defect severity and location. A novel analysis method fusing TC and BTT signals is proposed in this paper. The goal of this approach is to integrate tip clearance information with tip timing information for blade fault detection. The method consists of four key steps: First, we extract the TC and BTT signals from raw pulse data; second, TC statistical features and BTT deep learning features will be extracted and fused using the kernel principal component analysis (KPCA) method; then, model training and selection are carried out; and finally, 16 sets of experiments are carried out to validate the feasibility of the proposed method and the classification accuracy achieves 95%, which is far higher than the traditional diagnostic method.

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Analysis of middle bearing failure in rotor jet engine using tip-timing and tip-clearance techniques

Cited by 32 publications

References 25 publications

Tip-Timing Measurements and Numerical Analysis of Last-Stage Steam Turbine Mistuned Bladed Disc During Run-Down

Tip-Timing Measurements and Numerical Analysis of Last-Stage Steam Turbine Mistuned Bladed Disc During Run-Down

Rotor Blades Diagnosis Method Based on Differences in Phase Shifts

A Blade Defect Diagnosis Method by Fusing Blade Tip Timing and Tip Clearance Information

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