Abstract
In this paper we have used a frequency modulation method for detecting faults in the plain bearings and the gear teeth defects. This method is based mainly on the analysis of some cyclostationarity non-stationary signals. Indeed, a cyclostationary signal has hidden periodicities; that is to say, it is not periodic in the strict sense but some statistical properties of the signal are periodic. This frequency is used to identify the spectral correlation which has the advantage of being a function of a single variable frequency instead of two. The experimental validation is performed on the basis of signals measured in an industrial environment (turbogenerator). The application of this method to non stationed signals has helped to highlight very clearly the presence of defects in the bearings of the gearbox, which has been difficult to demonstrate by spectral analysis.
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Kebabsa, T., Ouelaa, N., Antoni, J., Djamaa, M.C., Khettabi, R., Djebala, A. (2017). Fault Diagnosis Through the Application of Cyclostationarity to Signals Measured. In: Boukharouba, T., Pluvinage, G., Azouaoui, K. (eds) Applied Mechanics, Behavior of Materials, and Engineering Systems. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-41468-3_20
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