?url_ver=Z39.88-2004&rft_id=10.1177%2F0957650918812510&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.aulast=Fentaye&rft.au=Fentaye%2C+A.D.&rft.aufirst=A.D.&rft.title=Proceedings+of+the+Institution+of+Mechanical+Engineers%2C+Part+A%3A+Journal+of+Power+and+Energy&rft.date=2019&rft.volume=233&rft.issn=09576509&rft.issue=6&rft.atitle=Performance-based+fault+diagnosis+of+a+gas+turbine+engine+using+an+integrated+support+vector+machine+and+artificial+neural+network+method&rft.pages=786-802&rft.genre=article