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Residual Life Prediction Method of Industrial Equipment Based on Deep Learning and Attention Mechanism

https://doi.org/10.2139/ssrn.4803714
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Multivariate gated recurrent unit for battery remaining useful life prediction: A deep learning approach
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Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life
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Video Summarization with Long Short-Term Memory
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A multimodal and hybrid deep neural network model for Remaining Useful Life estimation
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Data-driven smart manufacturing
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Remaining useful life estimation of engineered systems using vanilla LSTM neural networks
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A review of irregular time series data handling with gated recurrent neural networks
inferredcites →https://doi.org/10.1016/j.promfg.2018.02.170openalex-extracted
Manufacturing in the fourth industrial revolution: A positive prospect in Sustainable Manufacturing
inferredcites →https://doi.org/10.1016/j.ress.2017.11.021openalex-extracted
Remaining useful life estimation in prognostics using deep convolution neural networks
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Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction
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A hybrid deep learning based traffic flow prediction method and its understanding
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A hybrid model of LSTM neural networks with a thermodynamic model for condition-based maintenance of compressor fouling
inferredcites →https://doi.org/10.1109/access.2022.3203406openalex-extracted
A Deep Learning Model for Remaining Useful Life Prediction of Aircraft Turbofan Engine on C-MAPSS Dataset
inferredcites →https://doi.org/10.1109/etfa45728.2021.9613682openalex-extracted
Challenges of machine learning-based RUL prognosis: A review on NASA's C-MAPSS data set
inferredcites →https://doi.org/10.1109/icpeca51329.2021.9362539openalex-extracted
5G Intelligent Network Trust Model Based on Subjective Logic
inferredcites →https://doi.org/10.1109/icphm.2017.7998311openalex-extracted
Long Short-Term Memory Network for Remaining Useful Life estimation
inferredcites →https://doi.org/10.1109/icphm.2018.8448804openalex-extracted
Uncertainty Prediction of Remaining Useful Life Using Long Short-Term Memory Network Based on Bootstrap Method
inferredcites →https://doi.org/10.1109/icufn.2016.7536997openalex-extracted
An implementation of a high throughput data ingestion system for machine logs in manufacturing industry
inferredcites →https://doi.org/10.1109/jsen.2020.3033153openalex-extracted
A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes
inferredcites →https://doi.org/10.1109/ojies.2020.3046044openalex-extracted
Performance Supervised Plant-Wide Process Monitoring in Industry 4.0: A Roadmap
inferredcites →https://doi.org/10.1109/tie.2017.2711530openalex-extracted
Building Occupancy Estimation with Environmental Sensors via CDBLSTM
inferredcites →https://doi.org/10.1109/tie.2019.2891463openalex-extracted
A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions
inferredcites →https://doi.org/10.1109/tie.2020.2972443openalex-extracted
Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach
inferredcites →https://doi.org/10.1109/tip.2017.2778563openalex-extracted
Recurrent Spatial-Temporal Attention Network for Action Recognition in Videos
inferredcites →https://doi.org/10.1109/tnnls.2016.2582798openalex-extracted
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-extracted
Long Short-Term Memory
inferredcites →https://doi.org/10.1177/09544100221103731openalex-extracted
Long short-term memory neural network with scoring loss function for aero-engine remaining useful life estimation
inferredcites →https://doi.org/10.1515/itms-2017-0007openalex-extracted
Deep Convolutional Neural Networks: Structure, Feature Extraction and Training
inferredcites →https://doi.org/10.2991/amcce-18.2018.99openalex-extracted
A FP-CNN method for aircraft fault prognostics
inferredcites →https://doi.org/10.3390/s20205770openalex-extracted
A Deep Machine Learning Method for Concurrent and Interleaved Human Activity Recognition
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Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder
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Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks
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