Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313503941> ?p ?o ?g. }
- W4313503941 endingPage "620" @default.
- W4313503941 startingPage "620" @default.
- W4313503941 abstract "Wind turbines are expected to provide on the order of 50% of the electricity worldwide in the near future, and it is therefore fundamental to reduce the costs associated with this form of energy conversion, which regard maintenance as the first item of expenditure. SCADA-based condition monitoring for anomaly detection is commonly presented as a convenient solution for fault diagnosis on turbine components. However, its suitability is generally proven by empirical analyses which are limited in time and based on a circumscribed number of turbines. To cope with this lack of validation, this paper performs a controlled experiment to evaluate the suitability of SCADA-based condition monitoring for fault diagnosis in a fleet of eight turbines monitored for over 11 years. For the controlled experiment, a weakly supervised method was used to model the normal behavior of the turbine component. Such a model is instantiated as a convolutional neural network. The method, instantiated as a threshold-based method, proved to be suitable for diagnosis, i.e. the identification of all drivetrain failures with a considerable advance time. On the other hand, the wide variability between the time the alarm is raised and the fault is observed suggests its limited suitability for prognosis." @default.
- W4313503941 created "2023-01-06" @default.
- W4313503941 creator A5005783739 @default.
- W4313503941 creator A5008957922 @default.
- W4313503941 creator A5039495045 @default.
- W4313503941 creator A5040116896 @default.
- W4313503941 creator A5065889495 @default.
- W4313503941 date "2023-01-04" @default.
- W4313503941 modified "2023-10-14" @default.
- W4313503941 title "Discussion on the Suitability of SCADA-Based Condition Monitoring for Wind Turbine Fault Diagnosis through Temperature Data Analysis" @default.
- W4313503941 cites W2009637664 @default.
- W4313503941 cites W2044883611 @default.
- W4313503941 cites W2057954323 @default.
- W4313503941 cites W2085019962 @default.
- W4313503941 cites W2110000683 @default.
- W4313503941 cites W2127064699 @default.
- W4313503941 cites W2291842222 @default.
- W4313503941 cites W2653623715 @default.
- W4313503941 cites W2747703903 @default.
- W4313503941 cites W2884488055 @default.
- W4313503941 cites W2885324690 @default.
- W4313503941 cites W2896784243 @default.
- W4313503941 cites W2952252672 @default.
- W4313503941 cites W2964239088 @default.
- W4313503941 cites W2991393119 @default.
- W4313503941 cites W3012211020 @default.
- W4313503941 cites W3023426396 @default.
- W4313503941 cites W3036673944 @default.
- W4313503941 cites W3041811889 @default.
- W4313503941 cites W3044400957 @default.
- W4313503941 cites W3088682896 @default.
- W4313503941 cites W3092588609 @default.
- W4313503941 cites W3092945705 @default.
- W4313503941 cites W3110023814 @default.
- W4313503941 cites W3115455310 @default.
- W4313503941 cites W3117709691 @default.
- W4313503941 cites W3128775465 @default.
- W4313503941 cites W3128843649 @default.
- W4313503941 cites W3129968791 @default.
- W4313503941 cites W3131799324 @default.
- W4313503941 cites W3137151386 @default.
- W4313503941 cites W3137316933 @default.
- W4313503941 cites W3153420734 @default.
- W4313503941 cites W3184061371 @default.
- W4313503941 cites W3192899959 @default.
- W4313503941 cites W3207292560 @default.
- W4313503941 cites W4200062369 @default.
- W4313503941 cites W4200523324 @default.
- W4313503941 cites W4200570935 @default.
- W4313503941 cites W4211172221 @default.
- W4313503941 cites W4220723868 @default.
- W4313503941 cites W4221021604 @default.
- W4313503941 cites W4225003213 @default.
- W4313503941 cites W4281680334 @default.
- W4313503941 cites W4281727324 @default.
- W4313503941 cites W4281820000 @default.
- W4313503941 cites W4283074294 @default.
- W4313503941 cites W4285266041 @default.
- W4313503941 cites W4286457306 @default.
- W4313503941 cites W4287010317 @default.
- W4313503941 cites W4296371377 @default.
- W4313503941 doi "https://doi.org/10.3390/en16020620" @default.
- W4313503941 hasPublicationYear "2023" @default.
- W4313503941 type Work @default.
- W4313503941 citedByCount "5" @default.
- W4313503941 countsByYear W43135039412023 @default.
- W4313503941 crossrefType "journal-article" @default.
- W4313503941 hasAuthorship W4313503941A5005783739 @default.
- W4313503941 hasAuthorship W4313503941A5008957922 @default.
- W4313503941 hasAuthorship W4313503941A5039495045 @default.
- W4313503941 hasAuthorship W4313503941A5040116896 @default.
- W4313503941 hasAuthorship W4313503941A5065889495 @default.
- W4313503941 hasBestOaLocation W43135039411 @default.
- W4313503941 hasConcept C105637607 @default.
- W4313503941 hasConcept C113863187 @default.
- W4313503941 hasConcept C116834253 @default.
- W4313503941 hasConcept C119599485 @default.
- W4313503941 hasConcept C121332964 @default.
- W4313503941 hasConcept C124101348 @default.
- W4313503941 hasConcept C127313418 @default.
- W4313503941 hasConcept C127413603 @default.
- W4313503941 hasConcept C133731056 @default.
- W4313503941 hasConcept C144171764 @default.
- W4313503941 hasConcept C146978453 @default.
- W4313503941 hasConcept C152745839 @default.
- W4313503941 hasConcept C154945302 @default.
- W4313503941 hasConcept C165205528 @default.
- W4313503941 hasConcept C172707124 @default.
- W4313503941 hasConcept C175551986 @default.
- W4313503941 hasConcept C200601418 @default.
- W4313503941 hasConcept C2775846686 @default.
- W4313503941 hasConcept C2778449969 @default.
- W4313503941 hasConcept C2779119184 @default.
- W4313503941 hasConcept C41008148 @default.
- W4313503941 hasConcept C59822182 @default.
- W4313503941 hasConcept C739882 @default.
- W4313503941 hasConcept C78519656 @default.
- W4313503941 hasConcept C78600449 @default.