Novel Two-Point Interpolation DFT Method for Frequency Estimation of Sine-Wave Within a Short Time Window

Song, Jian; Zhang, Junhao; Mingotti, Alessandro; Peretto, Lorenzo; Wen, He

doi:10.1109/amps55790.2022.9978847

Cited by 2 publications

(1 citation statement)

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“…Among these, the FFT, which is a fast version of the DFT (discrete Fourier transform), is widely used to deal with the vibration signal to estimate the frequency in real time in virtue of its low-computational burden and high efficiency [31]. In [32], a rectangular-based DFT for frequency estimator is proposed to track the power system frequency in a short observation window. To acquire the chatter frequency of machining processes, a high anti-noise frequency estimator based on DFT using zero padding technique is given in [33], which is named SDFT.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Frequency-Tracking Method Based on Interpolated Kalman Filter Using Vibration and Surface Noise

Li,

Wan,

Pan

et al. 2024

Mathematical Problems in Engineering

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The variation of frequency is a significant indicator of the operation status of rotating machinery. Generally, the frequency is extracted and tracked in real-time based on the vibration signal produced by the rotating machinery. However, various interferences generated from contact sampling and transmitting result in difficulty in obtaining the frequency correctly in real-time from the vibration. To solve this problem, this paper presents an interpolated Kalman filter (IKF) based on the vibration and surface noise signals for real-time frequency tracking. First, the cross-correlation operation is performed on the vibration and surface noise signals sampled synchronously to enhance the energy concentration. After that, a frequency search procedure is carried out to calculate the input of the tracking task. Finally, an IKF-based frequency lock procedure is applied to eliminate the interferences and track the frequency in real time. Besides, a correction procedure is added to prevent the measurement process from tracking the frequency incorrectly. The performance of the proposed method is verified by the experiments based on an ARM-based test bench using standard signals and actual test signals.

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Section: Introductionmentioning

confidence: 99%