A Signal Processing Method To Assess Dynamic System Similarity

Market Overview:

This technology features a robust technique to detect dynamic similarity of two systems based on the statistical properties of their signals. The invention assesses the entire autocorrelation structure of a test and a reference signal series. This is achieved in three steps 1) the test and reference signals are subjected to similar pre-processing to guarantee statistical stationarity; 2) the multivariate periodograms or autocovariance functions are calculated for each series; 3) time- and frequency-domain signal discrimination test statistics are computed and assessed. Equality of the test and reference signals is rejected when the multivariate periodograms are too dissimilar and/or sample autocovariance function of the two signals differ greatly.

Applications:

· System fault diagnosis and similarity assessment of two-time series arising in engineering and non-engineering applications as specified below:

· Engineering: Structural dynamic similarity

· Geophysics: Seismic pattern similarity

· Environmental: Eco-systems dynamics

· Biological: Activity similarity

· Econometrics: Economic dynamics

· Astrophysics: Remote dynamic similarity

· Medical: Diagnostics

· Military: Remote recognition and identification

Benefits:

· Idea is robust and adaptable to many dynamic systems