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... CNN based method is used for online fault detection of motors in industries as shown in [17]. High dimensional CNN performing both feature extraction and ...
Sep 5, 2022 ， In this paper, a CNN-based machine learning fault diagnosis method is proposed to address the problem of high incidence of motor faults and difficulty in ...
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Nov 20, 2023 ， The CNN-based approach offers superior accuracy in diagnosing faults, facilitating timely prevention measures and potentially saving human lives ...
This study proposes an algorithm to detect faults by introducing convolutional neural networks (CNNs) after converting the fault sound from the rotor into a ...
A motor fault type can be figured out by using ICRM as the 2D input to a CNN model. •. The effectiveness of ICRM for fault diagnosis of a PMSM is experimentally ...
May 5, 2023 ， In this paper, the issue of predicting electrical machine failures by predicting possible anomalies in the data is addressed through time series analysis.
A novel automatic fault diagnosis system is proposed in this study. Data features are enhanced by a normalization module based on color bars first.
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The paper presents a CNN-based TL technique, using vibration analysis for rolling bearing fault diagnosis as a case study. Prior published studies have extract ...
May 10, 2024 ， Based on BLS and CNN, the proposed BLSCNN fault diagnosis model involves the mapping of raw current signals by BLS, generating new ...
Aug 10, 2022 ， Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis, Mech. Syst ...