Bispectral Analysis of the Cutting Process

Simonovski, I.; Boltežar, Miha; Gradišek, Janez; Govekar, Edvard; Grabec, Igor; Kuhelj, A.

doi:10.1006/mssp.2001.1388

Cited by 10 publications

(2 citation statements)

References 16 publications

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“…Examples include statistical parameters (kurtosis [2], root-mean-square (RMS) [3], etc. ), enveloping [4][5][6], short time Fourier transform (STFT) [7], Wigner-Ville distribution [8,9], or bicoherence [10]. A common drawback of the statistical parameters is that they are sensitive to interference from the noise and undesired machineborne vibrations.…”

Section: Introductionmentioning

confidence: 99%

Unified time–scale–frequency analysis for machine defect signature extraction: Theoretical framework

Wang

Gao

Yan

2009

Mechanical Systems and Signal Processing

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Section: Introductionmentioning

confidence: 99%

Unified time–scale–frequency analysis for machine defect signature extraction: Theoretical framework

Wang

Gao

Yan

2009

Mechanical Systems and Signal Processing

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“…They have also received the attention of the structural dynamic researchers to detect non-linear behavior in structural dynamic response, for example -detection of transient signal [24], looseness at the support [22,25], breathing of a crack [26], a cubical (non-linear) stiffness in the system [23,27], faults in the anti-friction bearings, cracks and gears, etc. [28,29], and the use of the HOS in the monitoring of the machining process in manufacturing [30], the early contact detection between two structural components, [34] etc. However none of the earlier studies used the HOS in the rotating machinery for the fault detection.…”

Section: Introductionmentioning

confidence: 99%

Higher Order Spectra for Crack and Misalignment Identification in the Shaft of a Rotating Machine

Sinha

2007

Structural Health Monitoring

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Higher order spectra (HOS) are the tools in signal processing for the identification of the presence of higher harmonics in a signal which is a typical case of a non-linear dynamic behavior in mechanical systems. The breathing of a crack during shaft rotation also exhibits a non-linear behavior. The crack is known to generate 2X (twice the machine RPM) and higher harmonics in addition to 1X component in the shaft response during its rotation. Misaligned shaft also shows such feature as a crack in a shaft. The HOS have now been applied on a small rotating rig to observe its features. Results are found to be encouraging to distinguish these two faults based on a few experiments conducted on a small rig, which are presented here. The presented results though limited suggest the potential of the use of the HOS in the condition monitoring of rotating machinery.

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Fault Detection of DC Electric Motors Using the Bispectral Analysis

Boltežar

Slavič

2006

Meccanica

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Bispectral Analysis of the Cutting Process

Cited by 10 publications

References 16 publications

Unified time–scale–frequency analysis for machine defect signature extraction: Theoretical framework

Unified time–scale–frequency analysis for machine defect signature extraction: Theoretical framework

Higher Order Spectra for Crack and Misalignment Identification in the Shaft of a Rotating Machine

Fault Detection of DC Electric Motors Using the Bispectral Analysis

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