A Robust Deep Neural Network for Rolling Element Fault Diagnosis under Various Operating and Noisy Conditions

This study proposes a new intelligent diagnostic method for bearing faults in rotating machinery. The method uses a combination of nonlinear mode decomposition based on the improved fast kurtogram, gramian angular field, and convolutional neural network to detect the bearing state of rotating machin...

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書誌詳細

出版年:	Sensors
主要な著者:	Chun-Yao Lee, Guang-Lin Zhuo, Truong-An Le
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2022-06-01
主題:	intelligent diagnostic bearing faults improved fast kurtogram (IFK) nonlinear mode decomposition (NMD) gramian angular field (GAF) convolutional neural network (CNN)
オンライン･アクセス:	https://www.mdpi.com/1424-8220/22/13/4705