The paper presents results of an investigation to predict impending failure mechanisms of a gearbox drive train in the sub 15MW class of the Siemens gas turbine product range. Particular emphasis is given to the prediction of gearbox failures and inter-connected components. Experimental results from real-time data show that the application of SVM techniques provides an efficient basis for minimising the impact of unscheduled maintenance requirements, on product lifetime and cost for these units.
Customize your page view by dragging and repositioning the boxes below.
© 2014 ASME
The American Society of Mechanical Engineers
Sorry! You do not have access to this content. For assistance or
to subscribe, please contact us:
Sign in or create your free personal ASME account. This will give you the ability to save search results, receive TOC alerts, RSS feeds, and more.
Sign into or create your free personal account