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Real-time Estimation of the Remaining Lifetime of Components

Brinkschulte, Lars; Geimer, Marcus

Abstract (englisch):

The availability of off-highway machines is gaining in importance, particularly with respect to seasonal use, such as agriculture. For example, machine failures can lead to considerable income losses during harvesting. At KIT, a method for the development of real-time capable models for the determination of the component loads of off-highway machines was developed. The strength calculation of the piston of an axial piston pump serves as an example of use. The stresses in the component are determined by a multi-body simulation coupled with a structure simulation, and are then used to create an artificial neural network. The quality of the generated models is shown on the basis of the criteria accuracy, reproducibility and computation time.

DOI: 10.1007/s41321-017-0034-3
Zitationen: 2
Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2017
Sprache Englisch
Identifikator ISSN: 2366-1097
KITopen-ID: 1000074146
Erschienen in ATZoffhighway worldwide
Verlag Vieweg Verlag
Band 10
Heft 3
Seiten 54-60
Schlagwörter availability, axial piston pump, multi-body simulation, artificial neural network
Nachgewiesen in Dimensions
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