Parameter estimation in vehicle dynamics: Train, track and fault monitoring (INVITED)
Abstract eng: This paper presents examples for the use of Kalman filtering techniques: Parameters which influence the dynamics of a train are identified from acceleration data. The algorithm identifies critical changes in spring and damper characteristics. Random influences due to the naturally occurring track irregularities are included.
Publisher:
International Union of Theoretical and Applied Mechanics, 2016
Conference Title:
Conference Title:
24th International Congress of Theoretical and Applied Mechanics
Conference Venue:
Montreal (CA)
Conference Dates:
2016-08-21 / 2016-08-26
Rights:
Text je chráněný podle autorského zákona č. 121/2000 Sb.
Record appears in:
Record created 2016-11-15, last modified 2016-11-15
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