Effectiveness and Sensitivity of Vibration Processing Techniques for Local Fault Detection in Gears

Dalpiaz, Giorgio; Rivola, Alessandro; Rubini, Riccardo

doi:10.1006/mssp.1999.1294

Cited by 269 publications

(155 citation statements)

References 16 publications

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“…The Cepstrum possess the ability to detect sidebands without a thorough inspection in frequency domain. Randal mentioned that there are 3 main applications of cepstrum analysis in gear diagnostics [4], however author believe that in Condition Monitoring of a gearbox, the main application of the Cepstrum analysis is to detect the presence of such sidebands family and its harmonics [4,7]. Initially The cepstrum was defined as the power spectrum of the logarithm of the power spectrum.…”

Section: The Cepstrummentioning

confidence: 99%

Comparative Study of Gearbox Fault Diagnosis by Vibration Measurements

Hartono

Halim

Widodo

et al. 2016

MATEC Web of Conferences

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Abstract.Vibration analysis has been demonstrated to be one of the best tools to detect faults in a gearbox by providing abundant information about the operating condition of a gearbox. However, a gearbox generates complex vibration signals, which makes it difficult to diagnose when a fault occurs. There are several fault diagnosis methods that can be utilized to analyze the underlying signals. The time-frequency method has been used and showed some promising results. On the other hand, it also has its drawback when it is applied to a complex mechanical system such as gearboxes. This paper thus attempts to examine the effectiveness of several diagnosis methods to detect faults in a gearbox from vibration measurements. The results show that the cepstrum method can provide a more accurate indication of a faulty gearbox compared to other diagnosis methods.

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Section: The Cepstrummentioning

confidence: 99%

Comparative Study of Gearbox Fault Diagnosis by Vibration Measurements

Hartono

Halim

Widodo

et al. 2016

MATEC Web of Conferences

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“…From experimental works, it is well known that the most important components in gear vibration spectra are the tooth-meshing frequency and its harmonics, together with sideband structures due to the modulation effect. The increment in the number and amplitude of sidebands may indicate a gear fault condition, and the spacing of the sidebands is related to their source [22,26]. However, according to our knowledge, there are in the literature only a few theoretical studies concerning the effect of sidebands in gear vibration spectrum, and the calculating results are usually not in agreement with the measurements.…”

Section: Parametric Vibration Of a Gear-pair System With Faulted Meshingmentioning

confidence: 99%

Linearization and parametric vibration analysis of some applied problems in multibody systems

Nguyen

Hoang

2009

Multibody Syst Dyn

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The paper deals with the application of the Runge-Kutta method for calculating steady-state periodic vibrations of the parametric vibration systems governed by linearized differential equations. The numerical calculation is also demonstrated by two models of multibody systems and measurements on real objects. Good agreement is obtained between the numerical and experimental results. Consequently, the obtained results can also be applicable to investigate other complicated models of multibody systems which perform the steady-state motions.

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“…TSA has the capability of presenting the vibration information in terms of angular rotation of gear, enabling the comparison between the healthy and faulty gears. FFT was then implemented to the TSA signal to extract the sidebands around gearmesh frequencies that indicate the fault location [6]. However, FFT only could provide the frequency content of the TSA signals and the angular information of the faulty gear is lost.…”

Section: Introductionmentioning

confidence: 99%

Vibration-based Fault Diagnostic of a Spur Gearbox

et al. 2016

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Abstract. This paper presents comparative studies of Fast Fourier Transform (FFT), Short Time Fourier Transform (STFT) and Continuous Wavelet Transform (CWT) as several advanced time-frequency analysis methods for diagnosing an early stage of spur gear tooth failure. An incipient fault of a chipped tooth was investigated in this work using vibration measurements from a spur gearbox test rig. Time Synchronous Averaging was implemented for the analysis to enhance the clarity of fault feature from the gear of interest. Based on the experimental results and analysis, it was shown that FFT method could identify the location of the faulty gear with sufficient accuracy. On the other hand, Short Time Fourier Transform method could not provide the angular location information of the faulty gear. It was found that the Continuous Wavelet Transform method offered the best representation of angle-frequency representation. It was not only able to distinguish the difference between the normal and faulty gearboxes from the joint angle-frequency results but could also provide an accurate angular location of the faulty gear tooth in the gearbox.

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Effectiveness and Sensitivity of Vibration Processing Techniques for Local Fault Detection in Gears

Cited by 269 publications

References 16 publications

Comparative Study of Gearbox Fault Diagnosis by Vibration Measurements

Comparative Study of Gearbox Fault Diagnosis by Vibration Measurements

Linearization and parametric vibration analysis of some applied problems in multibody systems

Vibration-based Fault Diagnostic of a Spur Gearbox

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