The detection of stationary and non-stationary noise in environmental vibration data is an
important issue when considering the precision of the Watt balance, an electromechanical apparatus
for the new definition of the kilogram in the international system of Units (SI). In this paper, the
authors propose a frequency histogram method to find the structure of the stationary noise from large
amount of datasets. For the non-stationary noise, the authors propose a wavelet based denoising
methods to distinguish the transient events from the background “noise”, to find their duration and
content and to identify their location in time.
