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Titlebook: Rotating Machinery and Signal Processing; Proceedings of the F Ahmed Felkaoui,Fakher Chaari,Mohamed Haddar Conference proceedings 2019 Spri

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Effect of Input Data on the Neural Networks Performance Applied in Bearing Fault Diagnosis,es of fault classification. The purpose of this network is to automate the electric motor bearing diagnosis based on vibration signal analysis. The choice of the components of ANN’s inputs (training and testing) has a big challenge for prediction of the machines faults diagnosis. The vibration signa
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Bearing Diagnostics Using Time-Frequency Filtering and EEMD,etection of the impulses that are influenced by the presence of noise, the mode mixing, and the end effect. To detect the shocks due to the defect at an early stage, we propose to use the Time-frequency filtering (TFF) which was recently proposed by Flandrin. This method allows us to denoise the sig
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The Time-Frequency Filtering (TFF) Method Used in Early Detection of Gear Faults in Variable Load ad the periodic impulses are masked by the noise and the part of the signal due to the load. The use directly of the time-frequency methods doesn’t allow detecting these impulses. In this study, we propose to use two different time-frequency methods, ensemble empirical mode decomposition (EEMD) and t
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On-line Adaptive Scaling Parameter in Active Disturbance Rejection Controller,control, do not require the exact modeling of the system equations and used to reject online any types of perturbations. However, the drawback of this tool is the hard task of tuning multi-parameters and takes a long time to achieve performances requirements. In this contribution, an optimization of
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Estimation of Road Disturbance for a Non Linear Half Car Model Using the Independent Component Analesting since it contributes to study the dynamic behavior of the vehicle in one side and to choose a control law later in other side. However most of the used techniques have many drawbacks such us those based on direct measurements of the profile which need costly profilometers or those based on ne
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