• Corpus ID: 17972911

Monte Carlo Simulations for Evaluating Engine NVH Robustness

  title={Monte Carlo Simulations for Evaluating Engine NVH Robustness},
  author={John Batteh and Michael Tiller and Adam Goodman},
This paper describes the use of a designoriented engine cycle simulation model in Modelica for evaluating robustness of engine NVH (Noise, Vibration, and Harshness) to noise factors. This paper highlights the novel use of the cycle simulation model for analytic robustness studies using Monte Carlo simulations. The Monte Carlo simulations allow the robustness of a statistically significant engine population to be examined upfront in the product development process. The paper also discusses a… 
Monte Carlo Simulation with Modelica
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In order to comply with increasing consumer and regulatory demand for improved fuel economy and lower emissions, Ford Motor Company is developing a Hybrid Electric Vehicle (HEV) version of the Escape
Learning Python
This book starts with a thorough introduction to the elements of Python: types, operators, statements, functions, modules, and exceptions, and shows how Python performs common tasks and presents real applications and the libraries available for those applications.
The Modelica Association 392 Modelica
  • 2005
Monte Carlo Simulation of Cycle by Cycle Variability
Engine Excitation Decomposition Methods and V Engine Results
Goodman The Modelica Association 392 Modelica
  • Goodman The Modelica Association 392 Modelica
  • 2005