Recurrent neural networks for long-term prediction in machine condition monitoring-Reference-Cited by-同舟云学术

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Recurrent neural networks for long-term prediction in machine condition monitoring

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Container-title:Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510)
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Author:

Malhi A.,Gao R.X.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/9320/29628/01351492.pdf?arnumber=1351492

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. RUL Prediction Using a Fusion of Attention-Based Convolutional Variational AutoEncoder and Ensemble Learning Classifier;IEEE Transactions on Reliability;2023-03

2. A New Approach for Remaining Useful Life Estimation Using Deep Learning;Automatic Control and Computer Sciences;2023-02

3. Data-driven remaining useful life prediction via multiple sensor signals and deep long short-term memory neural network;ISA Transactions;2020-02

4. Long Range Dependence Prognostics for Bearing Vibration Intensity Chaotic Time Series;Entropy;2016-01-08

5. Using multi-sensor data fusion for vibration fault diagnosis of rolling element bearings by accelerometer and load cell;Information Fusion;2014-07

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