Angular resampling for vibration analysis in wind turbines under non-linear speed fluctuation

Villa, Luisa F.; Reñones, Aníbal; Perán, José R.; Miguel, Luis

doi:10.1016/j.ymssp.2011.01.022

Cited by 115 publications

(60 citation statements)

References 9 publications

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“…Thus, the estimated position was used for resampling vibration signals. A disadvantage of our approach over other approaches, such as the one presented in [19], is its higher computational cost due to the implementation of the observer used for position estimation. Experimental results for different generator operating conditions were presented.…”

Section: Discussionmentioning

confidence: 99%

“…Unlike [19], the proposed resampling method does not perform interpolation of the vector of acquisition times so that, for the same amount of data the number of interpolations is reduced by half.…”

Section: Sampling Of Vibrations Signalsmentioning

confidence: 99%

“…In any case, it is necessary to identify the operating frequencies and calculate the specific frequencies of faulty components. However, the main problem for condition monitoring of wind turbines is their operation at variable speed and load, which makes necessary to modify standard signal processing techniques to take into account such conditions [19].…”

Section: Introductionmentioning

confidence: 99%

“…The proposed technique is based on a resampling of the acquired signals in order to obtain a speed independent vibration spectrum. Unlike previous works, such as [19], the resampling is obtained using a reduced order observer which allows estimating rotor position using generator voltage and current measurements, without the need of a position sensor. Moreover, due to high resolution in the position provided by the observer, a higher number of position samples per revolution is obtained, which makes the proposed resampling less sensitive to the interpolation method used.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Fault Detection Technique for Variable-speed Wind Turbines Using Vibrations and Electrical Measurements

Bossio¹,

Bossio²,

Angelo³

2014

Eletrônica de Potência

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Section: Discussionmentioning

confidence: 99%

Section: Sampling Of Vibrations Signalsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Fault Detection Technique for Variable-speed Wind Turbines Using Vibrations and Electrical Measurements

Bossio¹,

Bossio²,

Angelo³

2014

Eletrônica de Potência

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“…A typical example is provided by the vibrations of bearings under nonstationary regimes, where order analysis has been successfully applied to the signal envelope or to time-frequency energy distributions [15][16][17]. The IAS also turns out essential to resample machine signals in the angular domain in all applications where synchronization to the machine kinematics is essential to correctly identify and analyze transient events in the machine cycle [18][19][20]. The advantage of synchronizing signals to the angular domain has been fully highlighted within the cyclostationary framework, where the notion of machine cycle is central [21,22].…”

Section: Introductionmentioning

confidence: 99%

A multi-order probabilistic approach for Instantaneous Angular Speed tracking debriefing of the CMMNO׳14 diagnosis contest

Leclère

André²,

Antoni

2016

Mechanical Systems and Signal Processing

107

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The aim of this work is to propose a novel approach for the estimation of the Instantaneous Angular Speed (IAS) of rotating machines from vibration measurements. This work is originated from the organisation, by the authors of this paper, of a contest during the conference CMMNO 2014, that was held in Lyon, december 2014. One purpose of the contest was to extract the IAS of a wind turbine from a gearbox accelerometer signal. The analysis of contestant contributions led to the observation that the main source of error in this exercise was the wrong association of one selected and tracked harmonic component with one mechanical periodic phenomenon, this association being assumed as an a priori hypothesis by all the methods used by the contestants. The approach proposed in this work does not need this kind of a priori assumption. A majority (but not necessarily all) periodical mechanical events are considered from a preliminary analysis of the kinematics of the machine (harmonics of shaft rotation speeds, meshing frequencies ...). The IAS is then determined from probability density functions that are constructed from instantaneous spectra of the signal. The efficiency and robustness of the proposed approach are illustrated in the frame of the CMMNO 2014 contest case.

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Residual signal feature extraction for gearbox planetary stage fault detection

Skrimpas

Ursin²,

Sweeney³

et al. 2017

Wind Energy

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Faults in planetary gears and related bearings, e.g. planet bearings and planet carrier bearings, pose inherent difficulties on their accurate and consistent detection associated mainly to the low energy in slow rotating stages and the operating complexity of planetary gearboxes. In this work, statistical features measuring the signal energy and Gaussianity are calculated from the residual signals between each pair from the first to the fifth tooth mesh frequency of the meshing process in a multi-stage wind turbine gearbox. The suggested algorithm includes resampling from time to angular domain, identification of the expected spectral signature for proper residual signal calculation and filtering of any frequency component not related to the planetary stage. Two field cases of planet carrier bearing defect and planet wheel spalling are presented and discussed, showing the efficiency of the followed approach and the possibility of characterizing a fault as localized or distributed.

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Angular resampling for vibration analysis in wind turbines under non-linear speed fluctuation

Cited by 115 publications

References 9 publications

A Fault Detection Technique for Variable-speed Wind Turbines Using Vibrations and Electrical Measurements

A Fault Detection Technique for Variable-speed Wind Turbines Using Vibrations and Electrical Measurements

A multi-order probabilistic approach for Instantaneous Angular Speed tracking debriefing of the CMMNO׳14 diagnosis contest

Residual signal feature extraction for gearbox planetary stage fault detection

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