Modal identification of a centrifuge soil model using subspace state space method
نویسندگان
چکیده
منابع مشابه
Operational Modal Analysis using a Fast Stochastic Subspace Identification Method
Stochastic subspace identification methods are an efficient tool for system identification of mechanical systems in Operational Modal Analysis, where modal parameters (natural frequencies, damping ratios, mode shapes) are estimated from measured ambient vibration data of a structure. System identification is usually done for many successive model orders, as the true system order is unknown. The...
متن کاملIdentification of a MIMO state space model of an F/A-18 aircraft using a subspace method
H altitude or impulse response matrix I identity matrix j dummy index M Mach number R correlation coefficient S matrix of singular values STBL left stabiliser position STBR right stabiliser position t, Δt time, time step T projected state matrix multiplied by the instrument TEFL left trailing-edge flap deflection TEFR right trailing-edge flap deflection u system input vector U matrix of past or...
متن کاملSubspace state space model identification for speech enhancement
This paper deals with Kalman filter-based enhancement of a speech signal contaminated by a white noise, using a single microphone system. Such a problem can be stated as a realization issue in the framework of identification. For such a purpose we propose to identify the state space model by using subspace non-iterative algorithms based on orthogonal projections. Unlike Estimate-Maximize (EM)-b...
متن کاملMass Properties Identification of a Rigid Body Using Modal Analysis
In performing vibration analysis of the car engine on the engine support, it is necessary to know the mass properties of the engine including mass, position of the center of mass and mass inertia moments. Because the car engine has a relatively complex geometric shape and is composed of different components with different densities, determining its mass properties faces many challenges. There a...
متن کاملSubspace Identification Using the Parity Space
It is known that most subspace identification algorithms give biased estimates for closed-loop data due to a projection performed in the algorithms. In this work, consistency analysis of SIMPCA is given and the exact input requirement is formulated. The effect of column weighting in subspace identification algorithms is discussed and the column weighting for SIMPCA is designed which gives consi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Soil Dynamics and Earthquake Engineering
سال: 2016
ISSN: 0267-7261
DOI: 10.1016/j.soildyn.2016.06.012