Application of cepstrum pre-whitening for the diagnosis of bearing faults under variable speed conditions

Borghesani, Pietro; Pennacchi, Paolo; Randall, R.B.; Sawalhi, Nader; Ricci, R.

doi:10.1016/j.ymssp.2012.11.001

Cited by 193 publications

(106 citation statements)

References 10 publications

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“…However, its performance is not very good when encountering strong noise or non-Gaussian noise, especially the fault-unrelated sporadic impulse, which causes the incorrect selection of the optimal filter [109][110][111]. Strategies to solve the problem can be generally divided into two categories: Preprocessing and SK indicator improvement strategies.…”

Section: Spectral Kurtosismentioning

confidence: 99%

Basic research on machinery fault diagnostics: Past, present, and future trends

et al. 2017

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Machinery fault diagnosis has progressed over the past decades with the evolution of machineries in terms of complexity and scale. High-value machineries require condition monitoring and fault diagnosis to guarantee their designed functions and performance throughout their lifetime. Research on machinery Fault diagnostics has grown rapidly in recent years. This paper attempts to summarize and review the recent R&D trends in the basic research field of machinery fault diagnosis in terms of four main aspects: Fault mechanism, sensor technique and signal acquisition, signal processing, and intelligent diagnostics. The review discusses the special contributions of Chinese scholars to machinery fault diagnostics. On the basis of the review of basic theory of machinery fault diagnosis and its practical applications in engineering, the paper concludes with a brief discussion on the future trends and challenges in machinery fault diagnosis.

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Section: Spectral Kurtosismentioning

confidence: 99%

Basic research on machinery fault diagnostics: Past, present, and future trends

et al. 2017

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“…Borghesani et al [28] applied cepstrum prewhitening for diagnostics of rolling element bearings. Due to its moderate computational requirements, it was an appropriate tool for an automatic damage recognition algorithm.…”

Section: Kumar and Singhmentioning

confidence: 99%

Optimal Wavelet Selection for the Size Estimation of Manufacturing Defects of Tapered Roller Bearings with Vibration Measurement using Shannon Entropy Criteria

Deák¹,

Mankovits²,

Kocsis³

2017

SV-JME

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“…However, it is difficult to determine the threshold value of the damage, in particular in different machines. Frequency-domain approaches are usually employed to find the fault's characteristic frequencies via frequency analysis, such as the Fourier spectrum, cepstrum analysis, and the envelope spectrum [8][9][10]. This approach is characterized by its simplicity and intuitive nature for locating the components corresponding to shaft frequency in the spectrum.…”

Section: Introductionmentioning

confidence: 99%

Fault diagnosis of rolling element bearings with a spectrum searching method

Qiu

Zhu

et al. 2017

Meas. Sci. Technol.

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Rolling element bearing faults in rotating systems are observed as impulses in the vibration signals, which are usually buried in noises. In order to effectively detect the fault of bearings, a novel spectrum searching method is proposed. The structural information of spectrum (SIOS) on a predefined frequency grid is constructed through a searching algorithm, such that the harmonics of impulses generated by faults can be clearly identified and analysed. Local peaks of the spectrum are projected onto certain components of the frequency grid, and then the SIOS can interpret the spectrum via the number and power of harmonics projected onto components of the frequency grid. Finally bearings can be diagnosed based on the SIOS by identifying its dominant or significant components. Mathematical formulation is developed to guarantee the correct construction of the SIOS through searching. The effectiveness of the proposed method is verified with simulated signals and experimental signals.

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Application of cepstrum pre-whitening for the diagnosis of bearing faults under variable speed conditions

Cited by 193 publications

References 10 publications

Basic research on machinery fault diagnostics: Past, present, and future trends

Basic research on machinery fault diagnostics: Past, present, and future trends

Optimal Wavelet Selection for the Size Estimation of Manufacturing Defects of Tapered Roller Bearings with Vibration Measurement using Shannon Entropy Criteria

Fault diagnosis of rolling element bearings with a spectrum searching method

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