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Comparison of Prognostic Abilities of Palliative Prognostic Index, Laboratory Prognostic Score, and Palliative Prognostic Score

Journal of pain and symptom management, 2024-04

2024

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Artificial intelligence-based data-driven prognostics in industry: A survey

Computers & industrial engineering, 2023-10, Vol.184, p.109605, Article 109605

2023

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The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study

Mechanical systems and signal processing, 2022-04, Vol.168, p.108653, Article 108653

2022

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A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and applied to time-series data of NPP steam generators

Applied soft computing, 2020-04, Vol.89, p.106116, Article 106116

2020

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Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective

Measurement : journal of the International Measurement Confederation, 2022-01, Vol.187, p.110276, Article 110276

2022

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Recent advances in prognostics and health management for advanced manufacturing paradigms

Reliability engineering & system safety, 2018-10, Vol.178, p.255-268

2018

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Successive model-agnostic meta-learning for few-shot fault time series prognosis

Neurocomputing (Amsterdam), 2024-08, Vol.595, Article 127879

2024

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Meta deep learning based rotating machinery health prognostics toward few-shot prognostics

Applied soft computing, 2021-06, Vol.104, p.107211, Article 107211

2021

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Emerging technologies in prognostics for fuel cells including direct hydrocarbon fuel cells

Energy (Oxford), 2023-08, Vol.277, p.127721, Article 127721

2023

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Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

Mechanical systems and signal processing, 2014-01, Vol.42 (1-2), p.314-334

2014

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Improving diagnostics and prognostics of implantable cardioverter defibrillator batteries with interpretable machine learning models

Journal of power sources, 2024-08, Vol.610, Article 234668

2024

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Practical options for selecting data-driven or physics-based prognostics algorithms with reviews

Reliability engineering & system safety, 2015-01, Vol.133, p.223-236

2015

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High expression levels of FANCI correlate with worse prognosis and promote tumor growth of lung adenocarcinoma partly via suppression of M1 macrophages

Gene, 2023-01, Vol.851, p.147053-147053, Article 147053

2023

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Damage characterization of laminated composites using acoustic emission: A review

Composites. Part B, Engineering, 2020-08, Vol.195, p.108039, Article 108039

2020

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Similarity learning hidden semi-Markov model for adaptive prognostics of composite structures

Reliability engineering & system safety, 2024-03, Vol.243, p.109808, Article 109808

2024

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A Wiener-process-inspired semi-stochastic filtering approach for prognostics

Reliability engineering & system safety, 2024-09, Vol.249, Article 110200

2024

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Physics-based prognostics of rolling-element bearings: The equivalent damaged volume algorithm

Mechanical systems and signal processing, 2024-06, Vol.215, Article 111435

2024

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Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods

European journal of operational research, 2018-12, Vol.271 (3), p.775-796

2018

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Prognostics and health management of Lithium-ion battery using deep learning methods: A review

Renewable & sustainable energy reviews, 2022-06, Vol.161, p.112282, Article 112282

2022

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Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications

Mechanical systems and signal processing, 2016-01, Vol.66-67, p.679-698

2016

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Gaussian process regression for forecasting battery state of health

Journal of power sources, 2017-07, Vol.357, p.209-219

2017

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A systematic review of deep transfer learning for machinery fault diagnosis

Neurocomputing (Amsterdam), 2020-09, Vol.407, p.121-135

2020

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Remaining useful life estimation of engineered systems using vanilla LSTM neural networks

Neurocomputing (Amsterdam), 2018-01, Vol.275, p.167-179

2018

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Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism

Reliability engineering & system safety, 2022-05, Vol.221, p.108297, Article 108297

2022

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Potential, challenges and future directions for deep learning in prognostics and health management applications

Engineering applications of artificial intelligence, 2020-06, Vol.92, p.103678, Article 103678

2020

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Comparison of Prognostic Abilities of Palliative Prognostic Index, Laboratory Prognostic Score, and Palliative Prognostic Score

Artificial intelligence-based data-driven prognostics in industry: A survey

The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study

A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and applied to time-series data of NPP steam generators

Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective

Recent advances in prognostics and health management for advanced manufacturing paradigms

Successive model-agnostic meta-learning for few-shot fault time series prognosis

Meta deep learning based rotating machinery health prognostics toward few-shot prognostics

Emerging technologies in prognostics for fuel cells including direct hydrocarbon fuel cells

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

Improving diagnostics and prognostics of implantable cardioverter defibrillator batteries with interpretable machine learning models

Practical options for selecting data-driven or physics-based prognostics algorithms with reviews

High expression levels of FANCI correlate with worse prognosis and promote tumor growth of lung adenocarcinoma partly via suppression of M1 macrophages

Damage characterization of laminated composites using acoustic emission: A review

Similarity learning hidden semi-Markov model for adaptive prognostics of composite structures

A Wiener-process-inspired semi-stochastic filtering approach for prognostics

Physics-based prognostics of rolling-element bearings: The equivalent damaged volume algorithm

Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods

Prognostics and health management of Lithium-ion battery using deep learning methods: A review

Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications

Gaussian process regression for forecasting battery state of health

A systematic review of deep transfer learning for machinery fault diagnosis

Remaining useful life estimation of engineered systems using vanilla LSTM neural networks

Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism

Potential, challenges and future directions for deep learning in prognostics and health management applications

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