Diagnosing of rolling-element bearings using amplitude level-based decomposition of machine vibration signal

Dybała, Jacek

doi:10.1016/j.measurement.2018.05.031

Cited by 32 publications

(11 citation statements)

References 30 publications

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“…Huang_2021 [115] Attoui_2020 [116] Wang_2019b [28] Klausen_2019 [117] Dybała_2018 [118] Qiu_2018 [119] Li_2016d [120] Dolenc_2016 [121] Harmouche_2015 [122] Hafeez_2003 [123] Zakhezin_2010 [124] Wang_2019c [125] Feng_2017 [126] Guoji_2014 [127] Gelman_2005 [128] Elbhbah_2013 [129] Cardona-Morales_2014 [130] Time-frequency-based methods…”

Section: Fft Order Domain Envelope Spectrum and Envelope Order Spectrum Cepstrummentioning

confidence: 99%

“…With reference to first order spectral methods, Hafeez et al in [123] adopt the frequency and phase spectral analysis to diagnose the bearings vibrations root cause and found that phases are useful to detect misalignments, being related to relative motion between parts. Dybala, in [118], presents a method based on spectral analysis to automatically identify the amplitude level for signal decomposition, obtaining results in identifying bearing damages at the early stage of development better than with the classic vibration analysis. Klausen and Robbersmyr in [117] developed the whitened cross-correlation spectrum (WCCS) method based on the cross-correlation between the whitened vibration signal and its envelope, with good performances in the bearings damages early detection.…”

Section: Stft Wavelet Wigner-ville (Wv) Distribution Hilbert-huang Transform Cohen Class Functionsmentioning

confidence: 99%

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A Review on Vibration-Based Condition Monitoring of Rotating Machinery

et al. 2022

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Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal functioning states are related to specific patterns that can be extracted from vibration signals. Extensively studied issues concern the different methodologies used for carrying out the main phases (signal measurements, pre-processing and processing, feature selection, and fault diagnosis) of a malfunction automatic diagnosis. In addition, vibration-based condition monitoring has been applied to a number of different mechanical systems or components. In this review, a systematic study of the works related to the topic was carried out. A preliminary phase involved the analysis of the publication distribution, to understand what was the interest in studying the application of the method to the various rotating machineries, to identify the interest in the investigation of the main phases of the diagnostic process, and to identify the techniques mainly used for each single phase of the process. Subsequently, the different techniques of signal processing, feature selection, and diagnosis are analyzed in detail, highlighting their effectiveness as a function of the investigated aspects and of the results obtained in the various studies. The most significant research trends, as well as the main innovations related to the various phases of vibration-based condition monitoring, emerge from the review, and the conclusions provide hints for future ideas.

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Section: Fft Order Domain Envelope Spectrum and Envelope Order Spectrum Cepstrummentioning

confidence: 99%

Section: Stft Wavelet Wigner-ville (Wv) Distribution Hilbert-huang Transform Cohen Class Functionsmentioning

confidence: 99%

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

et al. 2022

View full text Add to dashboard Cite

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“…Among these techniques, envelope detection or high frequency resonance technique has been found to be the most effective over the time span of last three decades. Some researchers, in recent times, have also attempted iterated singular value decomposition–based in-band noise reduction (Ren et al, 2019) and amplitude level–based decomposition (Dybala, 2018) of bearing vibration signal to improve SNR. A time–frequency domain technique such as wavelet transform was also attempted to analyze quasiperiodic or nonstationary vibration signals (Lin and Qu, 2000; Paliwal et al, 2017; Wang et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Amplitudes of components in vibration spectra of rolling bearings with localized defects under harmonic loads

Tingarikar

Choudhury

2020

Journal of Vibration and Control

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In the present work, an attempt has been made to obtain the vibration response with relative amplitudes of the spectral components for a rolling element bearing with localized defect on different elements under the action of harmonic radial load. The bearing has been assumed as a multi-degree-of-freedom system, and the frequency of harmonic load has been considered to be the shaft frequency. The vibration spectra have been obtained using envelope detection technique. The modulating effects of the harmonic load has resulted in additional sidebands at shaft frequency about the components which are otherwise caused by static load for defects on the outer race and the rolling element. For inner race defect, no additional components exist because the modulating frequency is equal to the shaft frequency at which the sidebands appear even for the static load. A detailed experimental investigation has also been carried out in the present work to validate the theoretical results. The results of theoretical and experimental investigations show the amplitudes of spectral components for both the studies are of the same order and their normalized values have fair agreement between them.

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“…The use of favorable bearing methods to dampen the dynamic actions transferred from shafts to bearing housings (use of slide bearings instead of rolling bearings) [18,19,20,21,22]. Shaping of the gear housing in order to minimize vibration at a preset forced gearing [1,23,24,25]. The use of damping inserts inside the toothed wheel disk or in the housing under the bearings [1,3,7,10].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Selected Operational Factors on the Vibroactivity of Upper Gearbox Housings Made of Composite Materials

Figlus

Kozioł

Kuczyński

2019

Sensors

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This paper presents the results of laboratory tests in which evaluation was performed regarding the effect of selected operating factors on the vibroactivity of upper gearbox housings made of three different fiber reinforced polymer composite materials with diverse layouts (cross and random) and types of reinforcing fibers: glass fiber and carbon fiber. The results of tests for composite housings were compared with those for a steel housing. The tests showed that composite housings had a weight lower by more than 60% compared to the steel housing. A multisensor measuring system consisting of vibration acceleration transducers, a directional microphone and a data acquisition card with software was used for the study. Tests of the vibroactivity of upper gear housings were carried out at different loads and rotational speeds of toothed gears. The study showed that composite housings are less sensitive to changes in the rotational speed that steel housings. The tests showed that at a higher rotational speed of the gear transmission, housings made of composite materials had a comparable or lower level of vibration. Tests and analyses of the vibroactivity of housings performed at different loads of the gear allow the conclusion that composite housings, despite a considerably lower weight than steel housings, are less sensitive to changes in the load of the gearing.

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Diagnosing of rolling-element bearings using amplitude level-based decomposition of machine vibration signal

Cited by 32 publications

References 30 publications

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

Amplitudes of components in vibration spectra of rolling bearings with localized defects under harmonic loads

The Effect of Selected Operational Factors on the Vibroactivity of Upper Gearbox Housings Made of Composite Materials

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