… machinery via signal processing-based methods. In this paper, a new intelligent fault diagnosis
scheme based on the extraction of statistical parameters … Statistical parameters are then …

… reviews the statistical parameters from four perspectives. The first one is the commonly used
traditional statistical parameters, including dimensional and dimensionless parameters. A …

… feature set F, we first applied the mon-layer GRBM with parameters as: number of the neurons
in the hidden layer = 200, number of the learning epochs = 150, the initial learning rate = …

… Some traditional temporal statistical parameters, such as Mean, Standard Deviation, Root …
vibration level of rotating machinery. Nonetheless, these statistical parameters, established to …

… The parameter k determines the length of D j , which could be chosen according … rotating
machinery based on a novel statistical feature extraction and evaluation method. The statistical …

… that the model generated by regression provides too poor a fit for the changes in statistical
parameters with speed (which are not at all smooth in the case of rotating machinery). …

… Moreover, blind filters require a proper parameter tuning which … Rotating machinery signals
are better described as periodic in the angular domain defined by the reference shaft rotation …

… statistical property and residual signals is developed for estimating the fault severity of rotating
machinery… the feature matrix and calculate the statistic parameter (mean) in the second …

… new statistical approach in order to extract the instantaneous speed for rotating machines
using … In order to limit the model parameters and to have a faster algorithm, we can impose the …

… Information such as statistical variation of fatigue and fracture properties, as well as … patterns,
which include repairs and change of operating parameters. The effects of these operational …