Experimental Study of Real Gear Transmission Defects Using Sound Perception
The aim of this paper is to study gear defects able to appear on rotating machines using sound perception. To assimilate a real gear defect, the experimental setup was left operating under given load during several days. Measurements have been taken each
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Abstract The aim of this paper is to study gear defects able to appear on rotating machines using sound perception. To assimilate a real gear defect, the experimental setup was left operating under given load during several days. Measurements have been taken each 2 h on the input and output shafts. Acoustic sounds are performed using the processing software «DynamX V.7». These sounds are analyzed with the paired comparison method to find a correlation between the sounds perception and the scalar indicators. The results show that perception tests allowed classifying gear defect sounds in degradation order. The correlation between objective and subjective aspects highlights an important relationship between scalar indicators (kurtosis, Crest Factor, the spectral center of gravity SCG and the root mean square RMS) and the difference between gear sounds characterized by the sounds distance in the proximity space. Vibratory analysis is also performed to follow up the gear degradation state and to confirm sound perception results obtained from the proposed approach.
Keywords Sound perception Real gear defects Classifying gear defect Scalar indicators
N. Ouelaa (&) R. Younes A. Djebala Mechanics and Structures Laboratory, University of Guelma, B.P. 401, Guelma, Algeria e-mail: [email protected] R. Younes e-mail: [email protected] A. Djebala e-mail: [email protected] N. Hamzaoui 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_21
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1 Introduction The monitoring and the diagnosis of the defects of rotating machines belong to the programs of conditional maintenance, and are 75 % based on vibration analysis. Regarding the procedures of maintenance, one can classify the stages of intervention in two levels: • the first level devoted to the monitoring, uses scalar indicators (total level, Peak factor, Kurtosis, Factor K, etc.,) to announce the defect presence, • the second level characterized by the diagnosis, intervenes after the stage of monitoring and uses much more detailed indicators (Spectrum, Zoom, Envelope, Cepstrum, etc.,), in order to more precisely locate the nature and the position of the defect. The use of these indicators still encounters some difficulties of interpretation in the case of complex industrial machines which have several defects. Many researchers still work on the improvement or the development of the indicators resulting from vibratory or acoustic signals. The experience feedback is based mainly on the competence of the maintenance man and especially to acoustical and vibratory perception related to mechanical defects. We use an acoustic approach of perception in order to propose an optimization of the indicato
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