Signal moments for the short‐time Fourier transform associated with Hardy–Sobolev derivatives

Liu, Ming-Sheng; Kou, Kit Ian; Morais, J.; Dang, Pei

doi:10.1002/mma.3254

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…Applying (6) to (9) [28] I t (ω) = e −jωt i ω (t), so the STFT and the SFFT obtain the same result except for the phase factor e −jωt . Since the energy density spectrum is an absolute square, the phase factor e −jωt does not affect it and either the STFT or the SFFT can be used to generate the joint distribution, P SP (t, ω), (5) and (10)…”

Section: B Filtering In the Frequency-domain: The Short Frequency Fomentioning

confidence: 98%

Short-Frequency Fourier Transform for Fault Diagnosis of Induction Machines Working in Transient Regime

Burriel-Valencia

Puche-Panadero

Martínez-Román

et al. 2017

IEEE Trans. Instrum. Meas.

113

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Transient-based methods for fault diagnosis of induction machines are attracting a rising interest, due to their reliability and ability to adapt to a wide range of induction machine (IM)'s working conditions. These methods compute the time-frequency (TF) distribution of the stator current, where the patterns of the related fault components can be detected. A significant amount of recent proposals in this field have focused on improving the resolution of the TF distributions, allowing a better discrimination and identification of fault harmonic components. Nevertheless, as the resolution improves, computational requirements (power computing and memory) greatly increases, restricting its implementation in low cost devices for performing on-line fault diagnosis. To address these drawbacks, in this paper the use of the short frequency Fourier transform (SFFT) for fault diagnosis of IMs working under transient regimes is proposed. The SFFT not only keeps the resolution of traditional techniques, such as the short time Fourier transform (STFT), but also achieves a drastic reduction of computation time and memory resources, making this proposal suitable for on-line diagnosis. This method is theoretically introduced and experimentally validated using a laboratory test bench.

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Section: B Filtering In the Frequency-domain: The Short Frequency Fomentioning

confidence: 98%

Short-Frequency Fourier Transform for Fault Diagnosis of Induction Machines Working in Transient Regime

Burriel-Valencia

Puche-Panadero

Martínez-Román

et al. 2017

IEEE Trans. Instrum. Meas.

113

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Evaluation of hydrologic and meteorological impacts on dengue fever incidences in southern Taiwan using time-frequency analysis methods

Tsai

Yeh

Hsiao

2018

Ecological Informatics

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Fast time-frequency manifold learning and its reconstruction for transient feature extraction in rotating machinery fault diagnosis

Ding

Lin

et al. 2019

Measurement

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Signal moments for the short‐time Fourier transform associated with Hardy–Sobolev derivatives

Abstract: Communicated by T. Qian

Cited by 3 publications

References 23 publications

Short-Frequency Fourier Transform for Fault Diagnosis of Induction Machines Working in Transient Regime

Short-Frequency Fourier Transform for Fault Diagnosis of Induction Machines Working in Transient Regime

Evaluation of hydrologic and meteorological impacts on dengue fever incidences in southern Taiwan using time-frequency analysis methods

Fast time-frequency manifold learning and its reconstruction for transient feature extraction in rotating machinery fault diagnosis

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