State estimation techniques for rotor unbalance identification
Simona Moschini1; Konstantinos Gryllias1; Wim Desmet1; Bert Pluymers1
1 KULeuven
doi:10.20906/CPS/COB-2015-2728
Resumo
Global warming has been an issue for the international community since the beginning of 90s. As a result the scientific community focused the attention on the research of green house gases (GHG) emission reduction. Recently, new light has been shed as well on energy efficiency solutions. On one hand this means looking for strategies to exploit at best new energy sources for electric energy production. On the other hand energy efficiency is enhanced by monitoring techniques able to check and ensure the reliability of the energy plant. In this framework, the concept of virtual sensing plays a key role. Several physical quantities are relevant to determine the amount of input energy that is dissipated and not conveyed into useful out- put power. Unfortunately, these quantities cannot be directly measured in many practical applications. As a consequence, state estimation techniques come out as extremely helpful tool. The combination of the available measurement data with the information provided by the system dynamic model allows the estimation of different unmeasurable system quantities. In this article a Kalman Filter based algorithm is applied to investigate and assess the health condition of a rotor system with particular attention to the unbalance estimation.
Palavras-chave: Kalman Filter; Rotordynamics; Unbalance; Virtual sensing