Improvement of the sensitivity of the scalar indicators (crest factor, kurtosis) using a de-noising method by spectral subtraction: application to the detection of defects in ball bearings

Dron, Jean-Paul; Bolaers, Fabrice; Rasolofondraibe, Lanto

doi:10.1016/s0022-460x(03)00483-8

Cited by 121 publications

(68 citation statements)

References 7 publications

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“…Many researchers, such as [7][8][9], have found the Kurtosis value to be more useful, when it is compared with the RMS, crest factor, and peak value. Peak and RMS can directly reflect the energy level of the vibration.…”

Section: Related Literaturementioning

confidence: 99%

“…al. [8] have shown the interest of spectral subtraction for the improvement of the sensitivity of scalar indicators (crest factor, kurtosis) within the application of conditional maintenance by vibratory analysis on ball bearings. Furthermore they considered as the case of a bearing in good conditions of use, the distribution of amplitudes in the signal is of Gaussian kind.…”

Section: Related Literaturementioning

confidence: 99%

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Fault Diagnosis of Shaft- Ball Bearing System Using One-Way Analysis of Variance

Yüzükırmızı

Arslan

2014

MCA

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Abstract-Roller bearing is one of the most widely used and critical elements in rotating machinery. In consequence, bearing fault diagnosis in machines, as well as to discriminate the different fault conditions have been a great interest. In this study, firstly, analytical model of a shaft-ball bearing system is developed. The shaft is assumed to be perfectly rigid and uniform, and supported by two radial ball bearings. Then, the effect of localized defects on bearing running surfaces (i.e. surfaces of inner and outer rings and balls) on the shaft vibrations are obtained using the simulation program. Then, vibration signatures are analyzed by one-way analysis of variance (ANOVA) method. Finally, post-hoc tests are applied to differentiate the ball bearing element's localized defects in shaft-ball bearing simulation model.

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Section: Related Literaturementioning

confidence: 99%

Section: Related Literaturementioning

confidence: 99%

Fault Diagnosis of Shaft- Ball Bearing System Using One-Way Analysis of Variance

Yüzükırmızı

Arslan

2014

MCA

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“…Visibly noticed are revolution methods based on mechanical signal processing, which are divided into two main categories, detection and diagnosis, and are based on time-frequency methods and temporal methods or a combination of both. Thus, many methods are born, the scalar indicators such as kurtosis, skew, crest factor (Dron et al, 2004;Pachaud et al, 1997), demodulation and detection of the envelope (Sheen, 2004(Sheen, , 2008, amplitude modulation (Stack et al, 2004), detection of vibration modes (Rizos et al, 1990), de-noising vibratory signals , the spectral density analysis (Krejcar and Frischer, 2011), the Fast Fourier Transform (Lenort, 1995) (Bendjama and Boucherit, 2016), blind source separation (Wang et al, 2014), fuzzy logic (Liu et al, 1996). El-Thalji and Jantunen (2015) and Rai and Upadhyay (2016) reviewed almost all the techniques used in the domain predicting defects.…”

Section: Introductionmentioning

confidence: 99%

A new method for automatic defects detection and diagnosis in rolling element bearings using Wald test

Chiter

Zegadi

Bekka

et al. 2018

jtam

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To detect and to diagnose, the localized defect in rolling bearings, a statistical model based on the sequential Wald test is established to generate a "hypothetical" signal which takes the state zero in absence of the defect, and the state one if a peak of resonance caused by the defect in the bearing is present. The autocorrelation of this signal allows one to reveal the periodicity of the defect and, consequently, one can establish the diagnosis by comparing the frequency of the defect with the characteristic frequencies of the bearing. The originality of this work is the use of the Wald test in the signal processing domain. Secondly, this method permits the detection without considering the level of noise and the number of observations, it can be used as a support for the Fast Fourier Transform. Finally, the simulated and experimental signals are used to show the efficiency of this method based on the Wald test.

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“…An adaptive noise estimate for each band has been proposed [5]. Furthermore, the spectral subtraction approach has also been applied to other kinds of sounds such as underwater acoustic sounds [6], machine monitoring [7,8], hearing aid [9], pulmonary sounds [10][11][12], etc.…”

Section: Introductionmentioning

confidence: 99%

Pipelined Architecture of Multi-Band Spectral Subtraction Algorithm for Speech Enhancement

Bahoura

2017

Electronics

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Abstract:In this paper, a new pipelined architecture of the multi-band spectral subtraction algorithm has been proposed for real-time speech enhancement. The proposed hardware has been implemented on field programmable gate array (FPGA) device using Xilinx system generator (XSG), high-level programming tool, and Nexys-4 development board. The multi-band algorithm has been developed to reduce the additive colored noise that does not uniformly affect the entire frequency band of useful signal. All the algorithm steps have been successfully implemented on hardware. Pipelining has been employed on this hardware architecture to increase the data throughput. Speech enhancement performances obtained by the hardware architecture are compared to those obtained by MATLAB simulation using simulated and actual noises. The resource utilization, the maximum operating frequency, and power consumption are reported for a low-cost Artix-7 FPGA device.

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Improvement of the sensitivity of the scalar indicators (crest factor, kurtosis) using a de-noising method by spectral subtraction: application to the detection of defects in ball bearings

Cited by 121 publications

References 7 publications

Fault Diagnosis of Shaft- Ball Bearing System Using One-Way Analysis of Variance

Fault Diagnosis of Shaft- Ball Bearing System Using One-Way Analysis of Variance

A new method for automatic defects detection and diagnosis in rolling element bearings using Wald test

Pipelined Architecture of Multi-Band Spectral Subtraction Algorithm for Speech Enhancement

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