Identification of instantaneous attributes of torsional shaft signals using the Hilbert transform

Andrade, Manuel A.; Messina, A.R.; Rivera, C.A.; Olguı́n, D.

doi:10.1109/pes.2004.1373113

Cited by 19 publications

(23 citation statements)

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“…Hilbert transform on these IMFs yield their analytic form, from which instantaneous amplitude, phase and frequency are computed which gives the modal information. In power systems this technique has been applied to torsional filter [19], inter-area oscillations [16], [20] and generator coherency [21].…”

Section: Hilbert-huang Transformmentioning

confidence: 99%

Identifying inter-area oscillations using Hilbert-Huang trasformation for improving damping through PSS

Mandadi¹,

Kumar²

2013

Third International Conference on Computational Intelligence and Information Technology (CIIT 2013)

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Hilbert-Huang transform (HHT) is applied to wide area measurement system (WAMS) data in order to identify inter-area oscillations present in the system. HHT is used to extract instantaneous frequency of multicomponent signal using Empirical Mode Decomposition (EMD) and Hilbert transform. Upon identification of oscillatory modes, these oscillations are damped through power system stabilizers (PSS) connected to the exciters of the generators. Conventional PSS uses a local signal like generator speed deviation or real power output deviation. Here, two signals have been considered for PSS. The first signal is local signal that is the speed deviation of the generator at which PSS is connected. The second signal is a global signal. Several global signals have been tested. The global signals used are the remote rotor speed deviations, tie-line real power and voltage magnitude. The proposed method has been applied to two-area test system and the simulation results are presented.

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Section: Hilbert-huang Transformmentioning

confidence: 99%

Identifying inter-area oscillations using Hilbert-Huang trasformation for improving damping through PSS

Mandadi¹,

Kumar²

2013

Third International Conference on Computational Intelligence and Information Technology (CIIT 2013)

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“…It is well known that SSOs are characterized by multi-component and non-stationary signals [4,13]. To increase the potential of the simplified-RNTA, a complementary application using an IIR band-pass filter bank is implemented.…”

Section: Procedures Of Proposed Algorithmmentioning

confidence: 99%

“…Another scheme composed by bi-orthogonal wavelet transform and complex wavelet transform was used to detect and extract torsional oscillating features from a remnant signal [12]. In a similar way, the Hilbert-Huang transform [13] and the time frequency distribution (TFD) algorithm [14] were employed to characterize the time-energy-frequency representation of SSOs; however, the mode mixing and signal noise affects the accuracy of the extracted information.…”

Section: Introductionmentioning

confidence: 99%

Simplified Recursive Newton-type Algorithm for Instantaneous Modal Parameter Estimation of Sub-synchronous Oscillations

Barocio

Zuniga

Vázquez

et al. 2012

Electric Power Components and Systems

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A method for instantaneous identification of parameters from sub-synchronous oscillations is proposed. The developed methodology uses an infinite impulse response band-pass filter bank to separate a generator unit multi-component speed signal into mono-components. A simplified recursive Newton-type algorithm is employed to estimate modal parameters from the separated mono-components, with special emphasis on damping estimation. Simulations with the IEEE second benchmark on sub-synchronous resonance as a test power system are used to assess the proposed method. Digital signal processor hardware is employed to validate the algorithm using actual signals.

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“…It has, since then, been applied to problems in biomedical engineering [17], image processing [18] and structural safety [19]. In power systems, the HH method has been applied to identify instantaneous attributes of torsional shaft signals [20] and to analyze inter area oscillations [21,22]. The empirical mode decomposition (EMD) method has also been used to detect and localize transient features of power system events [23].…”

Section: Estimating Nonstationary Distortionsmentioning

confidence: 99%

Enhanced Empirical Mode Decomposition Applied to Waveform Distortions

Ribeiro

2009

Time‐Varying Waveform Distortions in Power Systems

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With the pervading application of power electronics and other nonlinear time-varying loads and equipment in modern power systems, distortions in line voltage and current are becoming an increasingly complex issue. In tightly coupled power systems such as the integrated power system (IPS) onboard all-electric ships and islanded microgrids, the estimation and visualization of time-varying waveform distortions present an interesting research avenue [1]. Accurately estimating time-varying distorted voltage and current signals will help to determine innovative power quality indices and thresholds, equipment derating levels and adequate mitigation methods including harmonic filter design. In this context, it is no longer appropriate to use 'harmonics' to describe the higher modes of oscillations present in nonstationary and nonlinear waveform distortions. Harmonics imply stationarity and linearity among the modes of oscillations, while the focus of this chapter is on time-varying waveform distortions. Key issues specific to the problem of estimating time-varying modes in distorted line voltages and currents are: (a) distortion magnitudes are small, and typically range from 1-10% (voltage) and 10-30% (current) of the fundamental, (b) the fundamental frequency may not be constant during the observation, due to load fluctuations and system transients, (c) typical distortion frequencies of interest in electric power quality studies may lie within an octave -posing a challenge of separation. Time-Varying Waveform Distortions in Power Systems Edited by Paulo F. Ribeiro

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Identification of instantaneous attributes of torsional shaft signals using the Hilbert transform

Cited by 19 publications

References 0 publications

Identifying inter-area oscillations using Hilbert-Huang trasformation for improving damping through PSS

Identifying inter-area oscillations using Hilbert-Huang trasformation for improving damping through PSS

Simplified Recursive Newton-type Algorithm for Instantaneous Modal Parameter Estimation of Sub-synchronous Oscillations

Enhanced Empirical Mode Decomposition Applied to Waveform Distortions

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