1999
DOI: 10.1006/mssp.1998.1206
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Amplitude and Phase Wavelet Maps for the Detection of Cracks in Geared Systems

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Cited by 99 publications
(58 citation statements)
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“…6(e)] around the 2nd MF harmonic, but about one tooth period ahead of that in the phase signature. This is consistent with the observations in [19]. The similar phase lag can also be identi"ed from the amplitude and phase modulation traces from 1803 to 2003.…”
Section: Cracked Toothsupporting
confidence: 88%
See 1 more Smart Citation
“…6(e)] around the 2nd MF harmonic, but about one tooth period ahead of that in the phase signature. This is consistent with the observations in [19]. The similar phase lag can also be identi"ed from the amplitude and phase modulation traces from 1803 to 2003.…”
Section: Cracked Toothsupporting
confidence: 88%
“…Lin et al [18] introduced a linear WT concept, where the wavelet map is normalised according to the signal amplitude instead of energy. Boulahbal et al [19] used both the WT amplitude and phase simultaneously to assess cracked and chipped tooth faults. Their proposed polar representation could be utilised to help pinpoint the location of gear damage in the WT maps.…”
Section: Time}frequency Analysismentioning
confidence: 99%
“…Wavelets have been established as the most widespread tool in this area, due to their flexibility and their efficient computational implementation. They have already been used in specific case studies for bearing fault detection [7,8] and for other machine components [9,10], as well as for identification of structural dynamic parameters [11][12][13]. In many cases, the application of wavelets has been combined and enriched by using additional features, such as Gaussian/exponential-enveloped functions [14], or denoising methods [15].…”
Section: Introductionmentioning
confidence: 98%
“…Wavelet transforms (WT), however, provide for locality both in time and frequency. Originally developed at the end of the 80s [8,9], wavelet transforms have been gaining popularity for their capability to treat transient signals and have been increasing interest in recent years as a tool for fault detection both in machinery [10][11][12] and in civil engineering structures [13,14] and for other engineering fields [15].…”
Section: Introductionmentioning
confidence: 99%