Fault diagnosis method for machinery in unsteady operating condition by instantaneous power spectrum and genetic programming

Nonlinear model identification of an experimental ball-and-tube system using a genetic programming approach

“…Due to the ability of GP in searching for structures, various techniques have been exploited by a number of researchers in order to increase the performance of GP as a modeling tool technique for system identification purposes [14][15][16][17][18][19][20][21][22].…”

“…In recent years, genetic programming (GP) [14][15][16][17][18][19][20][21][22], a member of the evolutionary computation field, has been applied to fault detection, modeling and identification of nonlinear systems. GP is a stochastic process for automatically generating computer programs and was introduced by John Koza [23], based on the idea of genetic algorithms.…”

Adaptive noise cancelling and time–frequency techniques for rail surface defect detection

“…The time-domain analysis methods are to identify the quantities of a signal related to its time behaviour such as the maximum amplitude, root mean square (rms) value, kurtosis and crest factor of a signal, while the frequency-domain analysis methods are to analyse the contents of a signal related to its frequency behaviour, like power spectrum, cepstrum and higher-order spectrum of a signal. [7][8][9][10][11]. Since machinery operating in nonstationary mode generates a signature which at each instant of time has a distinct frequency, it is desirable to use time-frequency analysis technique to see how frequency changes with time.…”

Rényi Entropy Based Statistical Complexity Analysis for Gear Fault Prognostics under Variable Load

“…Additionally, there are methods that exploit some statistical properties of the acquired vibrations like instantaneous power spectrum [5,8,22].…”