Fault Diagnosis Through the Application of Cyclostationarity to Signals Measured
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
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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.
T. Kebabsa (&) N. Ouelaa M.C. Djamaa R. Khettabi A. Djebala Mechanics and Structures Laboratory, University 8 May 1945, Po Box 401, 24000 Guelma, Algeria e-mail: [email protected] N. Ouelaa e-mail: [email protected] M.C. Djamaa e-mail: [email protected] R. Khettabi e-mail: [email protected] A. Djebala e-mail: [email protected] T. Kebabsa Mechanical Engineering Department, University of Badji Mokhtar, Po Box 12, 23000 Annaba, Algeria J. Antoni Laboratory of Vibration-Acoustics, INSA of Lyon, Bâtiment A. St. Exupéry, 25 bis Avenue Jean Capelle, 69621 Villeurbanne Cedex, France e-mail: [email protected] © Springer International Publishing Switzerland 2017 T. Boukharouba et al. (eds.), Applied Mechanics, Behavior of Materials, and Engineering Systems, Lecture Notes in Mechanical Engineering, DOI 10.1007/978-3-319-41468-3_20
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Keywords Spectral analysis Cyclostationarity Intensity modulation distribution Spectral correlation density Spectral coherence density Turbo-Alternator
1 Introduction Monitoring of vibration analysis machines, has grown significantly due to the evolution of such systems maintenance concepts, to minimize downtime and revision time, the maintenance method adopted is that of conditional preventative maintenance [1, 2]. Reducing production costs and increasing the availability of production tools have indeed become issues that needed to detect and identify any defects at an early stage. Currently, the challenge is more to demonstrate the value of using vibration analysis in the field of maintenance of rotating machines, but to assimilate the basics and know the limitations of each technique of choice. It becomes clear that the failures cannot be tolerated because of the complexity of the machine and its criticality in the process [3, 4]. For effective conditional preventive maintenance, reliable and accurate measurements of the state of the machine must be carried out. The “revolution” in the field of vibration diagnostic of machines is probably using periodic methods that allowed the development of more reliable methods based on cyclostationarity [5, 6] and
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