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Deep convolutional neural network with 2D spectral energy maps for fault diagnosis of gearboxes under variable speed. (2019)
Conference Proceeding
HASAN, M.J. and KIM, J. 2020. Deep convolutional neural network with 2D spectral energy maps for fault diagnosis of gearboxes under variable speed. In Djeddi, C., Jamil, A. and Siddiqi, I. (eds.) Pattern recognition and artificial intelligence: proceedings of the 3rd Mediterranean conference on pattern recognition and artificial intelligence (MedPRAI 2019), 22-23 December 2019, Istanbul, Turkey. Communications in computer and information science (CCIS), 1144. Cham: Springer [online], pages 106-117. Available from: https://doi.org/10.1007/978-3-030-37548-5_9

For industrial safety, correct classification of gearbox fault conditions is necessary. One of the most crucial tasks in data-driven fault diagnosis is determining the best set of features by analyzing the statistical parameters of the signals. Howev... Read More about Deep convolutional neural network with 2D spectral energy maps for fault diagnosis of gearboxes under variable speed..