Information Extraction Using Spectral Analysis of the Chattering of the Smooth Variable Structure Filter

Smooth variable Structure Filter (SVSF) is a model-based robust nonlinear filtering technique, based on the structure concept formulated in predictor-corrector form. It used for estimating states of system and against noise modeling uncertainties. ensures stability face model mismatch resulting from poor or fault, at expense corrective actions, which cause chattering. The chattering contains footprints that can be exploited to identify faults determine their severity. In this paper, information extraction investigated spectral contents signal. To verify effectiveness developed framework analysis, two case studies are considered. First, power spectrum signal has been employed potential recovering temporal spectrogram studied, using Short Time Fourier Transform (STFT) an underdamped second-order system. Then, proposed strategy applied detect measure severity leakage friction as well bulk modulus electro-hydraulic actuator.