2000
DOI: 10.1006/mssp.2000.1296
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Helicopter Transmission Fault Detection via Time-Frequency, Scale and Spectral Methods

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Cited by 39 publications
(9 citation statements)
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“…This method characterized the faults well and can differentiate between different fault classes. In the time-frequency analysis, some methods have been proposed for particular faults such as Randall [79], Williams et al [89], Girondin et al [32], Hood et al [41] and also Ehinger et al [24].…”
Section: Manned Helicoptersmentioning
confidence: 99%
“…This method characterized the faults well and can differentiate between different fault classes. In the time-frequency analysis, some methods have been proposed for particular faults such as Randall [79], Williams et al [89], Girondin et al [32], Hood et al [41] and also Ehinger et al [24].…”
Section: Manned Helicoptersmentioning
confidence: 99%
“…This method characterized the faults well and can differentiate between different fault classes. For the time-frequency analysis, some methods have been proposed for particular faults, such as Randall [42], Schwartz et al [43], Williams et al [44], Girondin et al [45], Hood et al [46], Ehinger et al [47] and also Hassan et al [48].…”
Section: A Analytical Model-based Approachesmentioning
confidence: 99%
“…Since the autocorrelation computed from OSS is a real signal, this relation to the Fourier transform clarifies that negative scale values need not to be considered since the magnitude spectrum is an even function of frequency. While in [13] the implementation of the scale transform based on (3) was used, in this paper the algorithm for computing the direct scale transform (DST) as presented in [25] was applied. DST is derived from (2), by approximating the integral in (2) as follows:…”
Section: Suggested Rhythm Descriptorsmentioning
confidence: 99%