The relationship between kurtosis- and envelope-based indexes for the diagnostic of rolling element bearings

Borghesani, Pietro; Pennacchi, Paolo; Chatterton, Steven

doi:10.1016/j.ymssp.2013.10.007

Cited by 222 publications

(81 citation statements)

References 22 publications

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“…A good surface finish bearing has a theoretical kurtosis of 3, and when the surface finish deteriorates, value of kurtosis increases. The kurtosis index is also chosen as a direct measure of the "impulsiveness" of the signal in many signal processing tools, band-stop filtering algorithm [1], band kurtosis, spectral kurtosis, and kurtogram, for instance [30]. Therefore, the kurtosis of the original signal and the extracted signal is calculated to evaluate the impulsiveness of the signal.…”

Section: Impulsive Signal Extractionmentioning

confidence: 99%

A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing

Lin

Shangfei

et al. 2017

Shock and Vibration

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The fault signals of rolling element bearing are often characterized by the presence of periodic impulses, which are modulated high-frequency harmonic components. The features of early fault in rolling bearing are very weak, which are often masked by background noise. The impulsiveness of the vibration signal has affected the identification of characteristic frequency for the early fault detection of the bearing. In this paper, a novel approach based on morphological operators is presented for impulsive signal extraction of early fault in rolling element bearing. The combination Top-Hat (CTH) is proposed to extract the impulsive signal and enhance the impulsiveness of the bearing fault signal, and the envelope analysis is applied to reveal the fault-related signatures. The impulsive extraction performance of the proposed CTH is compared with that of finite impulse response filter (FIR) by analyzing the simulated bearing fault signals, and the result indicates that the CTH is more effective in extracting impulsive signals. The method is evaluated using real fault signals from defective bearings with early rolling element fault and early fault located on the outer race. The results show that the proposed method is able to enhance the impulsiveness of early bearing fault signals.

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Section: Impulsive Signal Extractionmentioning

confidence: 99%

A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing

Lin

Shangfei

et al. 2017

Shock and Vibration

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“…Actual values of these frequencies are different from the theoretical ones. A frequency-shift, the "jitter", due to the actual kinematic contact among the elements of the bearing and depending mainly on the bearing load appears in real cases as described in [2,13] and [14]. The following theoretical damage frequencies for the SKF NU1040M bearing running at 16.17 Hz are: Knowing the theoretical bearing defect frequencies, it is possible to identify the type of the bearing damage (inner ring, outer ring or rollers) by means of the SES [15][16][17].…”

Section: Damage Typementioning

confidence: 99%

Monitoring of the Damage in Rolling Element Bearings

Chatterton

Borghesani

Pennacchi

et al. 2014

Mechanisms and Machine Science

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Envelope Analysis of vibration signal is the most used and simplest method for the diagnostics of rolling element bearings. This method is based on the identification of bearing damage frequency components in the so-called Envelope Spectrum. If the recognition of the damage type is quite a simple task, the monitoring and the evaluation of the trend of a suitable damage index are complex tasks\ud to be performed in an automatic way. The damage index must be robust against variations of system operating conditions and external vibration sources to avoid\ud misleading results. In the paper, the case of a rolling element bearing in which the defect develops until a permanent failure is described as well as the algorithm\ud implemented for alarm signaling

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“…Therefore, researches carried out into fault diagnosis of bearings and gearboxes have been regarded as a hotspot over the past several decades [1] [2].…”

Section: Introductionmentioning

confidence: 99%

A New Feature Evaluation and Weighting Method Using Three measurement Hybrid Model and Its Application to Fault Diagnosis of Rolling Element Bearing

Wei¹,

Wang²,

Ren³

2018

AJMSM

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The relationship between kurtosis- and envelope-based indexes for the diagnostic of rolling element bearings

Cited by 222 publications

References 22 publications

A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing

A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing

Monitoring of the Damage in Rolling Element Bearings

A New Feature Evaluation and Weighting Method Using Three measurement Hybrid Model and Its Application to Fault Diagnosis of Rolling Element Bearing

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