This paper presents the application of new time frequency method, ensemble empirical mode
decomposition (EEMD), in purpose to detect localized faults of damage at an early stage.
EEMD is a self adaptive analysis method for non-linear and non-stationary signals and it
was recently proposed by Huang and Wu to overcome the drawbacks of the traditional
empirical mode decomposition (EMD). The vibration signal is usually noisy. To detect the
fault at an early stage of its development, generally the residual signal is used. There
exist different methods in literature to calculate the residual signal, in this paper we
mention some of them and we propose a new method which is based on EEMD. The results given
by the different methods are compared by using simulated and experimental signals.