DETECTION OF PITTING IN GEARS USING A DEEP SPARSE AUTOENCODER

Detection of Pitting in Gears Using a Deep Sparse Autoencoder

In this paper; a new method for gear pitting fault detection is presented.The presented method is developed based on a deep sparse autoencoder.The method integrates dictionary Breast Pump Accessories learning in sparse coding into a stacked autoencoder network.Sparse coding with dictionary learning is viewed as an adaptive feature extraction method

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Detection of Knocking Combustion Using the Continuous Wavelet Transformation and a Convolutional Neural Network

The phenomenon of knock is an abnormal combustion occurring in spark-ignition (SI) engines and forms a barrier that prevents an increase in thermal efficiency while simultaneously reducing CO2 emissions.Since knocking combustion is highly stochastic, a cyclic analysis of in-cylinder pressure is necessary.In this study we propose an approach for eff

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Onset and duration of effect of incobotulinumtoxinA, onabotulinumtoxinA, and abobotulinumtoxinA in the treatment of glabellar frown lines: a randomized, double-blind study

Thomas Rappl,1 Daryousch Parvizi,1 Herwig Friedl,2 Maria Wiedner,1 Simone May,1 Bettina Kranzelbinder,3 Paul Wurzer,1 Bengt Hellbom1,† 1Department of Plastic and Reconstructive Surgery, Medical University Graz, Graz, Austria; 2Institute of Statistics, Graz University of Technology, Graz, Austria; 3Department of Dermatology, Medical Universit

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