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The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencoder.
- Published in:
- Sensors (14248220), 2024, v. 24, n. 8, p. 2382, doi. 10.3390/s24082382
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- Article
Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features.
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- Sensors (14248220), 2022, v. 22, n. 22, p. 8958, doi. 10.3390/s22228958
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- Article
A Novel Image-Based Diagnosis Method Using Improved DCGAN for Rotating Machinery.
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- Sensors (14248220), 2022, v. 22, n. 19, p. 7534, doi. 10.3390/s22197534
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- Article
A Hybrid Leak Localization Approach Using Acoustic Emission for Industrial Pipelines.
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- Sensors (14248220), 2022, v. 22, n. 10, p. 3963, doi. 10.3390/s22103963
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- Article
A Novel Hybrid Deep Learning Method for Fault Diagnosis of Rotating Machinery Based on Extended WDCNN and Long Short-Term Memory.
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- Sensors (14248220), 2021, v. 21, n. 19, p. 6614, doi. 10.3390/s21196614
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- Article
Fault diagnosis of bearing vibration signals based on a reconstruction algorithm with multiple side Information and CEEMDAN method.
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- Journal of Vibroengineering, 2021, v. 23, n. 1, p. 127, doi. 10.21595/jve.2020.21586
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- Article
Sparse Optimistic Based on Lasso-LSQR and Minimum Entropy De-Convolution with FARIMA for the Remaining Useful Life Prediction of Machinery.
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- Entropy, 2018, v. 20, n. 10, p. 747, doi. 10.3390/e20100747
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- Article
Multi-Scale Permutation Entropy Based on Improved LMD and HMM for Rolling Bearing Diagnosis.
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- Entropy, 2017, v. 19, n. 4, p. 176, doi. 10.3390/e19040176
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- Article