Sökning: "teknisk system"
Visar resultat 6 - 10 av 762 avhandlingar innehållade orden teknisk system.
6. Dynamics Study of an Automobile Exhaust System
Sammanfattning : Low vibration levels are a critical objective in automobile exhaust system design. It is therefore important for design engineers to be able to predict, describe and assess the dynamics of various system design proposals during product development. LÄS MER
7. Indirect System Identification for Unknown Input Problems : With Applications to Ships
Sammanfattning : System identification is used in engineering sciences to build mathematical models from data. A common issue in system identification problems is that the true inputs to the system are not fully known. In this thesis, existing approaches to unknown input problems are classified and some of their properties are analyzed. LÄS MER
8. Dynamic characteristics of automobile exhaust system components
Sammanfattning : Demands on emission control, and low vibration and noise levels have made the design of automobile exhaust systems a much more complex task over the last few decades. This, combined with increasing competition in the automobile industry, has rendered physical prototype testing impractical as the main support for design decisions. LÄS MER
9. Transparency for future semi-automated systems : effects of transparency on operator performance, workload and trust
Sammanfattning : More and more complex semi-automated systems are being developed, aiding human operators to collect and analyze data and information and even to recommend decisions and act upon these. The goal of such development is often to support the operators make better decisions faster, while at the same time decrease their workload. LÄS MER
10. System identification of large-scale linear and nonlinear structural dynamicmodels
Sammanfattning : System identification is a powerful technique to build a model from measurement data by using methods from different fields such as stochastic inference, optimization and linear algebra. It consists of three steps: collecting data, constructing a mathematical model and estimating its parameters. LÄS MER