2016
DOI: 10.1016/j.renene.2016.01.006
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Analysing RMS and peak values of vibration signals for condition monitoring of wind turbine gearboxes

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Cited by 122 publications
(67 citation statements)
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“…In the case of analysis of current from a defective machine, effective values are higher than in the case of an undamaged device (e.g. for monitoring of induction motor [42], rotor fault [43] or wind turbine gearboxes [44]). This relationship can be transferred to the grinding process, which is carried out with grinding wheels with different wear levels.…”
Section: Acoustic Emission and Force Signalsmentioning
confidence: 99%
“…In the case of analysis of current from a defective machine, effective values are higher than in the case of an undamaged device (e.g. for monitoring of induction motor [42], rotor fault [43] or wind turbine gearboxes [44]). This relationship can be transferred to the grinding process, which is carried out with grinding wheels with different wear levels.…”
Section: Acoustic Emission and Force Signalsmentioning
confidence: 99%
“…Fig. 6 shows an example of a WT gearbox high speed bearing vibration remote monitoring via CMS done by the authors in [20,29]. Here, the relationships between the wind speed and RMS values of the vibration signals have been modelled for normal operation (see [34] for more on the modelling approach).…”
Section: Remote Monitoringmentioning
confidence: 99%
“…Measuring WT health enables the identification of potential defects and abnormal operations which in turn facilitates the proactive planning MRO activities well before failure occurs, hence reducing downtime due to unscheduled service and ensuring that performance obligations are met [20,25]. For more details on the current best practices in WT monitoring see [24,[26][27][28][29][30]. …”
mentioning
confidence: 99%
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“…In addition, although sensing techniques such as vibration monitoring have been shown to be effective when detecting surface damage in bearings [12,13] , they cannot detect subsurface cracks. However, acoustic emission sensors have shown promising results when detecting subsurface crack formation in rolling element bearings [14,15] .…”
Section: Introductionmentioning
confidence: 99%