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An Adaptive Prognostic Approach via Nonlinear Degradation Modeling: Application to Battery Data

IEEE transactions on industrial electronics (1982), 2015-08, Vol.62 (8), p.5082-5096

Si, Xiao-Sheng

2015

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IEEE_Xplore

A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems

Manufacturing letters, 2015-01, Vol.3, p.18-23

2015

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Accelerated Stress Factors Based Nonlinear Wiener Process Model for Lithium-Ion Battery Prognostics

IEEE transactions on industrial electronics (1982), 2022-11, Vol.69 (11), p.11665-11674

2022

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IEEE_Xplore

Using Deep Learning-Based Approach to Predict Remaining Useful Life of Rotating Components

IEEE transactions on systems, man, and cybernetics. Systems, 2018-01, Vol.48 (1), p.11-20

2018

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IEEE_Xplore

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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A Review on Prognostics Methods for Engineering Systems

IEEE transactions on reliability, 2020-09, Vol.69 (3), p.1110-1129

2020

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IEEE_Xplore

Dynamic Bayesian Network-Based Lithium-Ion Battery Health Prognosis for Electric Vehicles

IEEE transactions on industrial electronics (1982), 2021-11, Vol.68 (11), p.10949-10958

2021

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IEEE_Xplore

Particle-Filtering-Based Prognostics for the State of Maximum Power Available in Lithium-Ion Batteries at Electromobility Applications

IEEE transactions on vehicular technology, 2020-07, Vol.69 (7), p.7187-7200

2020

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IEEE_Xplore

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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Improved Remaining Useful Life Estimation of Wind Turbine Drivetrain Bearings Under Varying Operating Conditions

IEEE transactions on industrial informatics, 2021-03, Vol.17 (3), p.1742-1752

2021

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IEEE_Xplore

A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions

IEEE transactions on industrial electronics (1982), 2019-11, Vol.66 (11), p.8792-8802

2019

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IEEE_Xplore

Discriminative Deep Belief Networks with Ant Colony Optimization for Health Status Assessment of Machine

IEEE transactions on instrumentation and measurement, 2017-12, Vol.66 (12), p.3115-3125

2017

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IEEE_Xplore

Comprehensive Risk Assessment in Patients With Pulmonary Arterial Hypertension Referred for Lung Transplantation

Circulation Journal, 2024/02/23, pp.CJ-23-0790

2024

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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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WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

IEEE transactions on systems, man, and cybernetics. Systems, 2022-04, Vol.52 (4), p.2302-2312

2022

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IEEE_Xplore

Assessment of Data Suitability for Machine Prognosis Using Maximum Mean Discrepancy

IEEE transactions on industrial electronics (1982), 2018-07, Vol.65 (7), p.5872-5881

2018

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IEEE_Xplore

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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Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life

Database Systems for Advanced Applications, p.214-228

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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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A Review of Remaining Useful Life Prediction Approaches for Mechanical Equipment

IEEE sensors journal, 2023-12, Vol.23 (24), p.29991-30006

2023

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IEEE_Xplore

Performance-Based Gas Turbine Health Monitoring, Diagnostics, and Prognostics: A Survey

IEEE transactions on reliability, 2018-09, Vol.67 (3), p.1340-1363

2018

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IEEE_Xplore

Real-Time Remaining Useful Life Prediction for a Nonlinear Degrading System in Service: Application to Bearing Data

IEEE/ASME transactions on mechatronics, 2018-02, Vol.23 (1), p.211-222

2018

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IEEE_Xplore

Validation of the NCCN‐IPI for diffuse large B‐cell lymphoma (DLBCL): the addition of β2‐microglobulin yields a more accurate GELTAMO‐IPI

British journal of haematology, 2017-03, Vol.176 (6), p.918-928

2017

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An Adaptive Prognostic Approach via Nonlinear Degradation Modeling: Application to Battery Data

A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems

Accelerated Stress Factors Based Nonlinear Wiener Process Model for Lithium-Ion Battery Prognostics

Using Deep Learning-Based Approach to Predict Remaining Useful Life of Rotating Components

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

A Review on Prognostics Methods for Engineering Systems

Dynamic Bayesian Network-Based Lithium-Ion Battery Health Prognosis for Electric Vehicles

Particle-Filtering-Based Prognostics for the State of Maximum Power Available in Lithium-Ion Batteries at Electromobility Applications

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

Improved Remaining Useful Life Estimation of Wind Turbine Drivetrain Bearings Under Varying Operating Conditions

A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions

Discriminative Deep Belief Networks with Ant Colony Optimization for Health Status Assessment of Machine

Comprehensive Risk Assessment in Patients With Pulmonary Arterial Hypertension Referred for Lung Transplantation

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

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

Assessment of Data Suitability for Machine Prognosis Using Maximum Mean Discrepancy

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

Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life

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

A Review of Remaining Useful Life Prediction Approaches for Mechanical Equipment

Performance-Based Gas Turbine Health Monitoring, Diagnostics, and Prognostics: A Survey

Real-Time Remaining Useful Life Prediction for a Nonlinear Degrading System in Service: Application to Bearing Data

Validation of the NCCN‐IPI for diffuse large B‐cell lymphoma (DLBCL): the addition of β2‐microglobulin yields a more accurate GELTAMO‐IPI

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