Improving monitoring of PWR electrical power plants 'in core' instrumentation with time-frequency signal analysis

Flandrin, Patrick; Garreau, Damien; Puyal, C.

doi:10.1109/icassp.1989.266912

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…Wahl CCC 1070-9622193/01065-12 and Bolton [1990] used it to identify structureborne noise components. Flandrin, Garreau, and Puyal [1989] recently proposed its use in the area of machinery condition monitoring and diagnostics; Forrester [1990] is investigating its use in gear fault detection.…”

Section: Introductionmentioning

confidence: 99%

Pseudo Wigner–Ville Time-Frequency Distribution and Its Application to Machinery Condition Monitoring

Shin

Jeon

1993

Shock and Vibration

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Machinery operating in a nonstationary mode generates a signature that at each instant of time has a distinct frequency. A Time-frequency domain representation is needed to characterize such a signature. Pseudo Wigner–Ville distribution is ideally suited for portraying a nonstationary signal in the time-frequency domain and is carried out by adapting the fast Fourier transform algorithm. The important parameters affecting the pseudo Wigner–Ville distribution are discussed and sensitivity analyses are also performed. Practical examples of an actual transient signal are used to illustrate its dynamic features jointly in time and frequency.

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Section: Introductionmentioning

confidence: 99%

Pseudo Wigner–Ville Time-Frequency Distribution and Its Application to Machinery Condition Monitoring

Shin

Jeon

1993

Shock and Vibration

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“…TFDs have been demonstrated as an effective analysis tool for tracking time-varying signals [3] , [4] , [5] . In some of our previously published work {6} , [7J , [8] , we showed that we can detect time-frequency features in the data which correlated remarkably well with documented failure indications.…”

Section: Introductionmentioning

confidence: 99%

<title>Time-frequency distributions for propulsion-system diagnostics</title>

Griffin¹,

Tulpule²

1991

SPIE Proceedings

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The Wigner-Ville Distribution and its smoothed versions, i.e., Choi-Williams and gaussian kernels, are evaluated for propulsion systeni diagnostics. The approach is intended for off-line kernel design by using the ambiguity domain to select the appropriate gaussian kernel. The features produced by the Wigner-Ville Distribution and its smoothed versions correlate remarkably well with documented failure indications. The selection of the kernel on the other hand is very subjective for our unstructured data.

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Applications of time-frequency analysis to signals from manufacturing and machine monitoring sensors

1996

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Improving monitoring of PWR electrical power plants 'in core' instrumentation with time-frequency signal analysis

Cited by 6 publications

References 3 publications

Pseudo Wigner–Ville Time-Frequency Distribution and Its Application to Machinery Condition Monitoring

Pseudo Wigner–Ville Time-Frequency Distribution and Its Application to Machinery Condition Monitoring

<title>Time-frequency distributions for propulsion-system diagnostics</title>

Applications of time-frequency analysis to signals from manufacturing and machine monitoring sensors

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