Detection of the rubbing-caused impacts for rotor–stator fault diagnosis using reassigned scalogram

Peng, Z.K.; Chu, Fu Lei; Tse, Peter W.

doi:10.1016/j.ymssp.2003.09.007

Cited by 107 publications

(48 citation statements)

References 17 publications

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“…Wavelet analysis method was also widely used to detect rubbing in turbomachinery. For instance, Peng et al [54] conducted a study to determine the effectiveness of using the conventional scalograms as compared to the reassigned scalograms for the detection of rubbing. They found that when rubbing occurred, its rubbing impacts could lead to an increase in vibration amplitude at high frequency region.…”

Section: Blade Rubbingmentioning

confidence: 99%

Condition Monitoring of Blade in Turbomachinery: A Review

Abdelrhman

Hee

Leong

et al. 2014

Advances in Mechanical Engineering

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Blade faults and blade failures are ranked among the most frequent causes of failures in turbomachinery. This paper provides a review on the condition monitoring techniques and the most suitable signal analysis methods to detect and diagnose the health condition of blades in turbomachinery. In this paper, blade faults are categorised into five types in accordance with their nature and characteristics, namely, blade rubbing, blade fatigue failure, blade deformations (twisting, creeping, corrosion, and erosion), blade fouling, and loose blade. Reviews on characteristics and the specific diagnostic methods to detect each type of blade faults are also presented. This paper also aims to provide a reference in selecting the most suitable approaches to monitor the health condition of blades in turbomachinery.

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Section: Blade Rubbingmentioning

confidence: 99%

Condition Monitoring of Blade in Turbomachinery: A Review

Abdelrhman

Hee

Leong

et al. 2014

Advances in Mechanical Engineering

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“…However, the higher order Daubechies wavelet functions will result in the resolution decrease in time domain as the high order Daubechies wavelet functions have longer support in time domain than the low order Daubechies wavelet functions. It is well known that due to the limitation defined by the Heisenberg-Gabor inequality [13] [14] it is impossible for Continuous Wavelet Transform (CWT) to obtain both fine resolutions in time and in frequency at the same window defined in the time-frequency plane, and therefore the tradeoff between time and spectral resolutions is unavoidable. Interestingly, the dependency between the BOI and the Daubechies wavelet function order reveals that there is also an unavoidable tradeoff between the band overlap degree and the time resolution for the DWT.…”

Section: Energy Leakage Of Dwtmentioning

confidence: 99%

On the energy leakage of discrete wavelet transform

Peng

Jackson

Rongong

et al. 2009

Mechanical Systems and Signal Processing

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The energy leakage is an inherent deficiency of Discrete WaveletTransform (DWT) which is often ignored by researchers and practitioners. In this paper, a systematic investigation into the energy leakage is reported. The DWT is briefly introduced first, and then the energy leakage phenomenon is described using a numerical example as an illustration and its effect on the DWT results is discussed.Focusing on the Daubechies wavelet functions, the band overlap between the quadrature mirror analysis filters was studied and the results reveal that there is an unavoidable tradeoff between the band overlap degree and the time resolution for the DWT. The dependency of the energy leakage to the wavelet function order was studied by using a criterion defined to evaluate the severity of the energy leakage. In addition, a method based on resampling technique was proposed to relieve the effects of the energy leakage. The effectiveness of the proposed method has been validated by numerical simulation study and experimental study.

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“…Besides this, wavelet analysis is also widely used to study the vibration responses of rotor rubbing. Peng et al [8] investigated the application of wavelet scalogram and reassigned wavelet scalogram in detecting the impact signals caused by rubbing. They observed that when rubbing occurred, an increase of magnitudes can be observed not only at the fundamental rotational frequency but also at high frequency regions.…”

Section: Introductionmentioning

confidence: 99%

Detection of Early Faults in Rotating Machinery Based on Wavelet Analysis

Lim

Leong

2013

Advances in Mechanical Engineering

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This paper explores the application of wavelet analysis for the detection of early changes in rotor dynamics caused by common machinery faults, namely, rotor unbalance and minor blade rubbing conditions. In this paper, the time synchronised wavelet analysis method was formulated and its effectiveness to detect machinery faults at the early stage was evaluated based on signal simulation and experimental study. The proposed method provides a more standardised approach to visualise the current state of rotor dynamics of a rotating machinery by taking into account the effects of time shift, wavelet edge distortion, and system noise suppression. The experimental results showed that this method is able to reveal subtle changes of the vibration signal characteristics in both the frequency content distribution and the amplitude distortion caused by minor rotor unbalance and blade rubbing conditions. Besides, this method also appeared to be an effective tool to diagnose and to discriminate the different types of machinery faults based on the unique pattern of the wavelet contours. This study shows that the proposed wavelet analysis method is promising to reveal machinery faults at early stage as compared to vibration spectrum analysis.

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Detection of the rubbing-caused impacts for rotor–stator fault diagnosis using reassigned scalogram

Cited by 107 publications

References 17 publications

Condition Monitoring of Blade in Turbomachinery: A Review

Condition Monitoring of Blade in Turbomachinery: A Review

On the energy leakage of discrete wavelet transform

Detection of Early Faults in Rotating Machinery Based on Wavelet Analysis

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