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A Novel Prognostics Approach Using Shifting Kernel Particle Filter of Li-Ion Batteries Under State Changes

IEEE transactions on industrial electronics (1982), 2021-04, Vol.68 (4), p.3485-3493

2021

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Challenges and Opportunities of System-Level Prognostics

Sensors (Basel, Switzerland), 2021-11, Vol.21 (22), p.7655

2021

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Diagnostics 101: A Tutorial for Fault Diagnostics of Rolling Element Bearing Using Envelope Analysis in MATLAB

Applied sciences, 2020-10, Vol.10 (20), p.7302

2020

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A Novel Kalman Filter-Based Prognostics Framework for Performance Degradation of Quadcopter Motors

IEEE transactions on instrumentation and measurement, 2024, Vol.73, p.1-12

2024

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A Trade-Off Analysis between Sensor Quality and Data Intervals for Prognostics Performance

Sensors (Basel, Switzerland), 2022-09, Vol.22 (19), p.7220

2022

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Model-Based Fault Diagnosis of a Planetary Gear: A Novel Approach Using Transmission Error

IEEE transactions on reliability, 2016-12, Vol.65 (4), p.1830-1841

2016

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Prognostics and Health Management of Engineering Systems: An Introduction

1st ed. 2017., 2016

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Information Value-Based Fault Diagnosis of Train Door System under Multiple Operating Conditions

Sensors (Basel, Switzerland), 2020-07, Vol.20 (14), p.3952

2020

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A Tutorial for Feature Engineering in the Prognostics and Health Management of Gears and Bearings

Applied sciences, 2020-08, Vol.10 (16), p.5639

2020

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Gear fault diagnosis using transmission error and ensemble empirical mode decomposition

Mechanical systems and signal processing, 2018-08, Vol.108, p.262-275

2018

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Transfer Learning-Based Fault Diagnosis under Data Deficiency

Applied sciences, 2020-11, Vol.10 (21), p.7768

2020

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A Comparative Study of Fault Diagnosis for Train Door System: Traditional versus Deep Learning Approaches

Sensors (Basel, Switzerland), 2019-11, Vol.19 (23), p.5160

2019

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A Study Toward Appropriate Architecture of System-Level Prognostics: Physics-Based and Data-Driven Approaches

IEEE access, 2021, Vol.9, p.157960-157972

2021

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A Robust Health Indicator for Rotating Machinery Under Time-Varying Operating Conditions

IEEE access, 2022, Vol.10, p.4993-5001

2022

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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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Prediction of remaining useful life under different conditions using accelerated life testing data

Journal of Mechanical Science and Technology, 2018, 32(6), , pp.2497-2507

2018

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A Comparative Study of Data-Driven Prognostic Approaches under Training Data Deficiency

Aerospace, 2024-09, Vol.11 (9), p.741

2024

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State-of-Charge Estimation of Batteries for Hybrid Urban Air Mobility

Aerospace, 2023-06, Vol.10 (6), p.550

2023

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Co-Estimating State of Charge and Capacity of Automotive Lithium-Ion Batteries Under Deep Degradation Using Multiple Estimators

Applied sciences, 2024-10, Vol.14 (20), p.9569

2024

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Inspection Interval Optimization for Aircraft Composite Tail Wing Structure Using Numerical-Analysis-Based Approach

Mathematics (Basel), 2022-10, Vol.10 (20), p.3836

2022

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Convolutional neural network for gear fault diagnosis based on signal segmentation approach

Structural health monitoring, 2019-11, Vol.18 (5-6), p.1401-1415

2019

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System-Level Fault Diagnosis for an Industrial Wafer Transfer Robot with Multi-Component Failure Modes

Applied sciences, 2023-09, Vol.13 (18), p.10243

2023

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A python based tutorial on prognostics and health management using vibration signal: signal processing, feature extraction and feature selection

Journal of Mechanical Science and Technology, 2022, 36(8), , pp.4083-4097

2022

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Bayesian gated-transformer model for risk-aware prediction of aero-engine remaining useful life

Expert systems with applications, 2024-03, Vol.238, p.121859, Article 121859

2024

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Probabilistic prognosis of fatigue crack growth for asphalt concretes

Engineering fracture mechanics, 2015-06, Vol.141, p.212-229

2015

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A Novel Prognostics Approach Using Shifting Kernel Particle Filter of Li-Ion Batteries Under State Changes

Challenges and Opportunities of System-Level Prognostics

Diagnostics 101: A Tutorial for Fault Diagnostics of Rolling Element Bearing Using Envelope Analysis in MATLAB

A Novel Kalman Filter-Based Prognostics Framework for Performance Degradation of Quadcopter Motors

A Trade-Off Analysis between Sensor Quality and Data Intervals for Prognostics Performance

Model-Based Fault Diagnosis of a Planetary Gear: A Novel Approach Using Transmission Error

Prognostics and Health Management of Engineering Systems: An Introduction

Information Value-Based Fault Diagnosis of Train Door System under Multiple Operating Conditions

A Tutorial for Feature Engineering in the Prognostics and Health Management of Gears and Bearings

Gear fault diagnosis using transmission error and ensemble empirical mode decomposition

Transfer Learning-Based Fault Diagnosis under Data Deficiency

A Comparative Study of Fault Diagnosis for Train Door System: Traditional versus Deep Learning Approaches

A Study Toward Appropriate Architecture of System-Level Prognostics: Physics-Based and Data-Driven Approaches

A Robust Health Indicator for Rotating Machinery Under Time-Varying Operating Conditions

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

Prediction of remaining useful life under different conditions using accelerated life testing data

A Comparative Study of Data-Driven Prognostic Approaches under Training Data Deficiency

State-of-Charge Estimation of Batteries for Hybrid Urban Air Mobility

Co-Estimating State of Charge and Capacity of Automotive Lithium-Ion Batteries Under Deep Degradation Using Multiple Estimators

Inspection Interval Optimization for Aircraft Composite Tail Wing Structure Using Numerical-Analysis-Based Approach

Convolutional neural network for gear fault diagnosis based on signal segmentation approach

System-Level Fault Diagnosis for an Industrial Wafer Transfer Robot with Multi-Component Failure Modes

A python based tutorial on prognostics and health management using vibration signal: signal processing, feature extraction and feature selection

Bayesian gated-transformer model for risk-aware prediction of aero-engine remaining useful life

Probabilistic prognosis of fatigue crack growth for asphalt concretes

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