Parameter Identification of a Model Scale Ship Drive Train

Model identification and dynamic analysis of ship propulsion shaft lines

Dynamic response analysis of mechanical structures is usually performed by adopting numerical/analytical models. Finite element (FE) modeling as a numerical approach plays an important role in dynamic response analysis of complex structures. The calculated dynamic responses from FE analysis are only reliable if accurate FE models are used. There are many elements in real mechanical structures w...

Identification and propagation of parametric uncertainty of a hydrostatic drive train model

This paper shows an approach to identify the uncertainty of the parameters in a lumped parameter model from experimental data. This approach is applied to a hydrostatic drivetrain setup in which the behavior of both the hydraulic pump and motor vary as the temperature of the oil changes. The model contains a large amount of parameters, describing the dependency between the speed, pressure and s...

Model-scale experiments of symmetric ship collisions

A Nonlinear Ship Manoeuvering Model: Identification and adaptive control with experiments for a model ship

Complete nonlinear dynamic manoeuvering models of ships, with numerical values, are hard to find in the literature. This paper presents a modeling, identification, and control design where the objective is to manoeuver a ship along desired paths at different velocities. Material from a variety of references have been used to describe the ship model, its difficulties, limitations, and possible s...

Estimation of Scale Parameter Under a Bounded Loss Function

     The quadratic loss function has been used by decision-theoretic statisticians and economists for many years.  In this paper  the estimation of scale parameter under a bounded loss function, which is adequate for assessing quality and quality improvement, is considered with restriction to the principles of invariance and risk unbiasedness. An implicit form of minimum risk scale equivariant ...