...Gregory Hagen We present algorithms based on stochastic averaging for estimating nonlinear feedback parameters obtained from time series data with application to noise-driven nonlinear vibration systems, with particular emphasis on limit-cycling thermo-acoustic systems. The harmonic and Gaussian...

...James R. McCusker; Kourosh Danai; David O. Kazmer Model validation is the procedure whereby the fidelity of a model is evaluated. The traditional approaches to dynamic model validation consider model outputs and observations as time series and use their similarity to assess the closeness...

...K. Krishnan Nair; Anne S. Kiremidjian In this paper, a time series based detection algorithm is proposed utilizing the Gaussian Mixture Models. The two critical aspects of damage diagnosis that are investigated are detection and extent. The vibration signals obtained from the structure are modeled...

... is demonstrated on simulated numerical data and time series data measured from an eight degree-of-freedom spring-mass system. Worden , K. , Manson , G. , and Fieller , N. J. , 2000 , “ Damage Detection Using Outlier Analysis ,” J. Sound Vib. , 229 , pp. 647 – 667 . Roberts , S...

...Hoon Sohn; Charles R. Farrar; Norman F. Hunter; Keith Worden This paper casts structural health monitoring in the context of a statistical pattern recognition paradigm. Two pattern recognition techniques based on time series analysis are applied to fiber optic strain gauge data obtained from two...

.... The validation curves attain minima of zero at the boundaries of the validation gate. These in turn are determined by the largest physically possible change a system—in our example vehicles of the IVHS—can undergo in one time step. A fuzzy exponential weighted moving average time series predictor determines...