2026-10-29T21:47:43Zhttps://munzur-rdlopen.rawdatalibrary.net/oai/request

oai:munzur-rdlopen.rawdatalibrary.net:munzur/38032026-10-28T15:47:39Zopenairedrivercom_munzur_1col_munzur_2com_munzur_8col_munzur_154

Identification of optimum working conditions in hydroelectric power plants for cavitationKahraman, GökhanYücel, Halit LütfiTaşgin, YahyaCavitationHydroelectric power plantTurbine wheelTurbine faults in hydroelectric power plants not only reduce the operation time of the plant, but also cause a serious loss of income. One of the most important turbine faults is the turbine wheel wear caused by the cavitation and accordingly the other machine equipment faults which cause excessive vibration. In this study, cavitation intensity that the turbines have been exposed in operating conditions has been investigated. As a result of the calculations, optimum working conditions of the units have been determined with graphs obtained in various operating conditions. The obtained data can be easily applied to all hydroelectric power plants exposed to cavitation, and safe operating conditions can be determined.Elsevier Ltd2019Articlehttps://rdlopen.rawdatalibrary.net/r/munzur/3803https://doi.org/10.1016/j.engfailanal.2018.09.0371350-6307enEngineering Failure Analysisinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://munzur-rdlopen.rawdatalibrary.net/tr/items/munzur/3803