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Deep Learning in the Biomedical Applications: Recent and Future Status

Applied sciences, 2019-04, Vol.9 (8), p.1526

2019

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A New Multivariate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering

IEEE transactions on cybernetics, 2015-12, Vol.45 (12), p.2626-2639

2015

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From Prognostics and Health Systems Management to Predictive Maintenance 1: Monitoring and Prognostics

1, 2016

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A hybrid CNN-BiLSTM approach-based variational mode decomposition for tool wear monitoring

International journal of advanced manufacturing technology, 2022-03, Vol.119 (5-6), p.3803-3817

2022

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Intelligent prognostics of bearings based on bidirectional long short-term memory and wavelet packet decomposition

International journal of advanced manufacturing technology, 2021-05, Vol.114 (1-2), p.145-157

2021

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A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models

IEEE transactions on reliability, 2012-06, Vol.61 (2), p.491-503

2012

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Fault prognostics of rolling element bearing based on feature extraction and supervised machine learning: Application to shaft wind turbine gearbox using vibration signal

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2021-10, Vol.235 (20), p.5186-5197

2021

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Machine Health Indicator Construction Framework for Failure Diagnostics and Prognostics

Journal of signal processing systems, 2020-06, Vol.92 (6), p.591-609

2020

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A new growing pruning deep learning neural network algorithm (GP-DLNN)

Neural computing & applications, 2020-12, Vol.32 (24), p.18143-18159

2020

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A Methodology for Reliability Analysis of Explainable Machine Learning: Application to Endocrinology Diseases

IEEE access, 2024, Vol.12, p.101921-101935

2024

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Prediction of Oncotype DX recurrence score using deep multi-layer perceptrons in estrogen receptor-positive, HER2-negative breast cancer

Breast cancer (Tokyo, Japan), 2020-09, Vol.27 (5), p.1007-1016

2020

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Review of Post-Prognostics Decision-Making in Prognostics and Health Management

International journal of prognostics and health management, 2020-01, Vol.11 (2)

2020

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Defining and applying prediction performance metrics on a recurrent NARX time series model

Neurocomputing (Amsterdam), 2010-08, Vol.73 (13), p.2506-2521

2010

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Real Time Worker Stress Prediction in a Smart Factory Assembly Line

IEEE access, 2024, Vol.12, p.116238-116249

2024

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Bearing Health Monitoring Based on Hilbert-Huang Transform, Support Vector Machine, and Regression

IEEE transactions on instrumentation and measurement, 2015-01, Vol.64 (1), p.52-62

2015

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Prognostics and Health Management for an Overhead Contact Line System - A Review

International journal of prognostics and health management, 2020-11, Vol.8 (3)

2020

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Data-Driven Methodology to Assess Raw Materials Impact on Manufacturing Systems Breakdowns

International journal of prognostics and health management, 2024-01, Vol.15 (1)

2024

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State of the art and taxonomy of prognostics approaches, trends of prognostics applications and open issues towards maturity at different technology readiness levels

Mechanical systems and signal processing, 2017-09, Vol.94, p.214-236

2017

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A hybrid remaining useful life prognostic method for proton exchange membrane fuel cell

International journal of hydrogen energy, 2018-07, Vol.43 (27), p.12314-12327

2018

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Exact and heuristic algorithms for post prognostic decision in a single multifunctional machine

International journal of prognostics and health management, 2020-11, Vol.8 (2)

2020

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Review on health-conscious energy management strategies for fuel cell hybrid electric vehicles: Degradation models and strategies

International journal of hydrogen energy, 2019-03, Vol.44 (13), p.6844-6861

2019

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Prognostics and Health Management for Maintenance Practitioners - Review, Implementation and Tools Evaluation

International journal of prognostics and health management, 2020-11, Vol.8 (3), p.1-31

2020

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Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics

IEEE transactions on industrial electronics (1982), 2015-01, Vol.62 (1), p.647-656

2015

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Health-Conscious Energy Management for Fuel Cell Hybrid Electric Vehicles Based on Prognostics-Enabled Decision-Making

IEEE transactions on vehicular technology, 2019-12, Vol.68 (12), p.11483-11491

2019

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A data-driven method for multi-step-ahead prediction and long-term prognostics of proton exchange membrane fuel cell

Applied energy, 2022-05, Vol.313, p.118835, Article 118835

2022

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Deep Learning in the Biomedical Applications: Recent and Future Status

A New Multivariate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering

From Prognostics and Health Systems Management to Predictive Maintenance 1: Monitoring and Prognostics

A hybrid CNN-BiLSTM approach-based variational mode decomposition for tool wear monitoring

Intelligent prognostics of bearings based on bidirectional long short-term memory and wavelet packet decomposition

A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models

Fault prognostics of rolling element bearing based on feature extraction and supervised machine learning: Application to shaft wind turbine gearbox using vibration signal

Machine Health Indicator Construction Framework for Failure Diagnostics and Prognostics

A new growing pruning deep learning neural network algorithm (GP-DLNN)

A Methodology for Reliability Analysis of Explainable Machine Learning: Application to Endocrinology Diseases

Prediction of Oncotype DX recurrence score using deep multi-layer perceptrons in estrogen receptor-positive, HER2-negative breast cancer

Review of Post-Prognostics Decision-Making in Prognostics and Health Management

Defining and applying prediction performance metrics on a recurrent NARX time series model

Real Time Worker Stress Prediction in a Smart Factory Assembly Line

Bearing Health Monitoring Based on Hilbert-Huang Transform, Support Vector Machine, and Regression

Prognostics and Health Management for an Overhead Contact Line System - A Review

Data-Driven Methodology to Assess Raw Materials Impact on Manufacturing Systems Breakdowns

State of the art and taxonomy of prognostics approaches, trends of prognostics applications and open issues towards maturity at different technology readiness levels

A hybrid remaining useful life prognostic method for proton exchange membrane fuel cell

Exact and heuristic algorithms for post prognostic decision in a single multifunctional machine

Review on health-conscious energy management strategies for fuel cell hybrid electric vehicles: Degradation models and strategies

Prognostics and Health Management for Maintenance Practitioners - Review, Implementation and Tools Evaluation

Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics

Health-Conscious Energy Management for Fuel Cell Hybrid Electric Vehicles Based on Prognostics-Enabled Decision-Making

A data-driven method for multi-step-ahead prediction and long-term prognostics of proton exchange membrane fuel cell

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