DocumentCode
711981
Title
Transient Position Recognition of Roller Coaster Based on the Detected Motion Signal Characteristics
Author
Zhao Liu ; Lei Wang ; Bo Xie ; Yutian Zhu ; Zhengrong Miao ; Jun Yao
Author_Institution
Coll. of Mech. Eng., Tongji Univ., Shanghai, China
fYear
2015
fDate
24-26 April 2015
Firstpage
1011
Lastpage
1015
Abstract
The operation of the roller coaster is a typical position-dependent non-stationary process, and its vibration signal analysis is closely related to the transient position. For further study, experiments were taken on the roller coaster of a certain amusement park. The mixed signals of motion and vibration were collected by the pre-developed data acquisition instrument. Data smoothing processing is performed by subsection curve fitting method and the detected motion signal is extracted to analyze its characteristics. The dynamic model of roller coaster is established to study the corresponding relations between the motion signal characteristics and the transient position of roller coaster. The analysis results show that the characteristics of movement detected signal could effectively reflect the transient position of the roller coaster and could provide the theoretical and practical foundation for further study on the position-dependent non-stationary signal process.
Keywords
entertainment; motion estimation; position measurement; signal detection; vibrational signal processing; amusement park; data acquisition instrument; data smoothing processing; motion signal characteristics; motion signal extraction; position-dependent nonstationary signal process; roller coaster; subsection curve fitting method; transient position recognition; vibration signal analysis; Dynamics; Employee welfare; Fitting; Polynomials; Transient analysis; Vehicles; Vibrations; Position-dependent non-stationary process; Roller coaster; motion signal characteristics; position recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4673-6849-0
Type
conf
DOI
10.1109/ICISCE.2015.228
Filename
7120768
Link To Document