Modal extraction on a diesel engine in operation
Publikation: Forskning - peer review › Konferenceartikel i proceeding
Standard
Modal extraction on a diesel engine in operation. / Møller, Nis; Herlufsen, Henrik; Brincker, Rune; Andersen, Palle.
Proceedings of SPIE: The International Society for Optical Engineering. 2000.Publikation: Forskning - peer review › Konferenceartikel i proceeding
Harvard
APA
CBE
MLA
Vancouver
Author
Bibtex
}
RIS
TY - GEN
T1 - Modal extraction on a diesel engine in operation
A1 - Møller,Nis
A1 - Herlufsen,Henrik
A1 - Brincker,Rune
A1 - Andersen,Palle
AU - Møller,Nis
AU - Herlufsen,Henrik
AU - Brincker,Rune
AU - Andersen,Palle
PY - 2000
Y1 - 2000
N2 - In this paper an output only modal testing and identification of a diesel engine is presented. The only loading on the engine is the unknown loading from the engine itself. Two test cases were considered: engine run-up, and engine Run-Down. The response data were analyzed using two different techniques: a non-parametric technique based on Frequency Domain Decomposition (FDD), and a parametric technique working on the raw data in time domain, a data driven Stochastic Subspace Identification (SSI) algorithm. Validating the results of the two techniques and the results of the two test cases against each other, 6 modes could be identified under 65 Hz. The first three modes were rigid body modes, and the last two modes were clear bending modes. Frequency uncertainty was typically of the order of 0.5 Hz, damping ratios were uncertain, but relatively high (3-7%) for the rigid body modes and around 2% for the bending modes.
AB - In this paper an output only modal testing and identification of a diesel engine is presented. The only loading on the engine is the unknown loading from the engine itself. Two test cases were considered: engine run-up, and engine Run-Down. The response data were analyzed using two different techniques: a non-parametric technique based on Frequency Domain Decomposition (FDD), and a parametric technique working on the raw data in time domain, a data driven Stochastic Subspace Identification (SSI) algorithm. Validating the results of the two techniques and the results of the two test cases against each other, 6 modes could be identified under 65 Hz. The first three modes were rigid body modes, and the last two modes were clear bending modes. Frequency uncertainty was typically of the order of 0.5 Hz, damping ratios were uncertain, but relatively high (3-7%) for the rigid body modes and around 2% for the bending modes.
BT - Proceedings of SPIE
T2 - Proceedings of SPIE
ER -