A comprehensive study of signal processing techniques of importance for operation modal analysis (OMA) and its application to a high-rise building

Harpal Singh; Niklas Grip; Per Johan Nicklasson

Harpal Singh UiT -- The Arctic University of NorwayUiT -- The Arctic University of Norway
Niklas Grip Lule{\aa} University of Technology
Per Johan Nicklasson UiT -- The Arctic University of Norway

Abstract

Ageing of civil engineering infrastructures such as dams, bridges, tunnels and buildings causes many problems with great consequences, both from practical and economical points of view. The main aim of this paper, together with \cite{singh:2019OMA-Application}, is to describe the state of the art of known methods and how to tackle this important problem. In particular we make a brief description and comparison between the methods. The major challenge for damage detection is the large amount of noise, and presence of harmonic components that leads to erroneous modal identification. New developments in signal processing techniques along with the use of artificial intelligence can play a crucial role in finding solutions for such problems. In this article we also include a new application of OMA, on a high-rise building in Lule{\aa}, Sweden, where some of the most popular OMA techniques have been applied.