Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9671263/9671273/09671605.pdf?arnumber=9671605
Reference27 articles.
1. BaNHFaP: A Bayesian Network Based Failure Prediction Approach for Hard Disk Drives
2. A combined Bayesian network method for predicting drive failure times from SMART attributes
3. A disk failure prediction method based on LSTM network due to its individual specificity
4. Random-forest-based failure prediction for hard disk drives
5. Large Scale Predictive Analytics for Hard Disk Remaining Useful Life Estimation
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1. Consistent Pretext and Auxiliary Tasks With Relative Remaining Useful Life Estimation;IEEE Transactions on Industrial Informatics;2024-04
2. FPTSF: A Failure Prediction of Hard Disks Based on Time Series Features Towards Low Quality Dataset;Lecture Notes in Computer Science;2024
3. Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters;2023 IEEE International Conference on Smart Computing (SMARTCOMP);2023-06
4. e-RULENet: remaining useful life estimation with end-to-end learning from long run-to-failure data;SICE Journal of Control, Measurement, and System Integration;2023-04-10
5. Hard Disk Failure Prediction Based on Blending Ensemble Learning;Applied Sciences;2023-03-04
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