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Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis

IEEE transactions on industrial electronics (1982), 2014-05, Vol.61 (5), p.2441-2451

2014

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A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem

IEEE transactions on industrial informatics, 2016-06, Vol.12 (3), p.924-932

2016

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Anomaly Detection and Fault Prognosis for Bearings

IEEE transactions on instrumentation and measurement, 2016-09, Vol.65 (9), p.2046-2054

2016

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Gearbox Fault Diagnosis Based on Improved Variational Mode Extraction

Sensors (Basel, Switzerland), 2022-02, Vol.22 (5), p.1779

2022

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Quantitative Evaluation of Wind Turbine Faults Under Variable Operational Conditions

IEEE transactions on industry applications, 2016-05, Vol.52 (3), p.2061-2069

2016

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Rolling Bearing Fault Diagnosis Based on Successive Variational Mode Decomposition and the EP Index

Sensors (Basel, Switzerland), 2022-05, Vol.22 (10), p.3889

2022

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Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification

Expert systems with applications, 2014-06, Vol.41 (7), p.3391-3401

2014

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Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis–Taguchi system

Expert systems with applications, 2013-11, Vol.40 (15), p.5787-5795

2013

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Condition Monitoring of Wind Turbine Generators Based on SCADA Data and Feature Transfer Learning

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Health Monitoring of Cooling Fans Based on Mahalanobis Distance With mRMR Feature Selection

IEEE transactions on instrumentation and measurement, 2012-08, Vol.61 (8), p.2222-2229

2012

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A novel three-stage multi-population evolutionary algorithm for constrained multi-objective optimization problems

Complex & intelligent systems, 2024-02, Vol.10 (1), p.655-675

2024

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Condition Monitoring of Wind Turbine Generators Using SCADA Data Analysis

IEEE transactions on sustainable energy, 2021-01, Vol.12 (1), p.202-210

2021

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A Data-Driven Approach for Bearing Fault Prognostics

IEEE transactions on industry applications, 2019-07, Vol.55 (4), p.3394-3401

2019

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Spatio-Temporal Fusion Attention: A Novel Approach for Remaining Useful Life Prediction Based on Graph Neural Network

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-12

2022

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Experimental and Modeling Study of the Regular Polygon Angle-spiral Liner in Ball Mills

Chinese journal of mechanical engineering, 2017-03, Vol.30 (2), p.363-372

English ed., 2017

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An Adaptive Condition Monitoring Method of Wind Turbines Based on Multivariate State Estimation Technique and Continual Learning

IEEE transactions on instrumentation and measurement, 2023, Vol.72, p.1-9

2023

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A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction

Reliability engineering & system safety, 2023-06, Vol.234, p.109163, Article 109163

2023

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Effect of Low-Frequency Vibration in Z-Direction (Out-of-Plane) on Slider Dynamics

IEEE transactions on magnetics, 2013-09, Vol.49 (9), p.4977-4981

2013

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A novel data-driven approach for coal-fired boiler under deep peak shaving to predict and optimize NOx emission and heat exchange performance

Energy (Oxford), 2024-09, Vol.304, p.132106, Article 132106

2024

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Overexpression and significance of prion protein in gastric cancer and multidrug‐resistant gastric carcinoma cell line SGC7901/ADR

International journal of cancer, 2005-01, Vol.113 (2), p.213-220

2005

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Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure

Reliability engineering & system safety, 2024-11, Vol.251, p.110383, Article 110383

2024

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Global and local information integrated network for remaining useful life prediction

Engineering applications of artificial intelligence, 2023-11, Vol.126, p.106956, Article 106956

2023

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Spatio-Temporal Propagation: An Extended Message Passing Graph Neural Network for Remaining Useful Life Prediction

IEEE sensors journal, 2024-06, p.1-1

2024

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Remaining Useful Life Prediction Based on Incremental Learning

IEEE transactions on reliability, 2024-06, Vol.73 (2), p.876-884

2024

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Improved Autoencoder Model With Memory Module for Anomaly Detection

IEEE sensors journal, 2024-04, Vol.24 (8), p.12770-12781

2024

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Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis

A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem

Anomaly Detection and Fault Prognosis for Bearings

Gearbox Fault Diagnosis Based on Improved Variational Mode Extraction

Quantitative Evaluation of Wind Turbine Faults Under Variable Operational Conditions

Rolling Bearing Fault Diagnosis Based on Successive Variational Mode Decomposition and the EP Index

Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification

Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis–Taguchi system

Condition Monitoring of Wind Turbine Generators Based on SCADA Data and Feature Transfer Learning

Health Monitoring of Cooling Fans Based on Mahalanobis Distance With mRMR Feature Selection

A novel three-stage multi-population evolutionary algorithm for constrained multi-objective optimization problems

Condition Monitoring of Wind Turbine Generators Using SCADA Data Analysis

A Data-Driven Approach for Bearing Fault Prognostics

Spatio-Temporal Fusion Attention: A Novel Approach for Remaining Useful Life Prediction Based on Graph Neural Network

Experimental and Modeling Study of the Regular Polygon Angle-spiral Liner in Ball Mills

An Adaptive Condition Monitoring Method of Wind Turbines Based on Multivariate State Estimation Technique and Continual Learning

A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction

Effect of Low-Frequency Vibration in Z-Direction (Out-of-Plane) on Slider Dynamics

A novel data-driven approach for coal-fired boiler under deep peak shaving to predict and optimize NOx emission and heat exchange performance

Overexpression and significance of prion protein in gastric cancer and multidrug‐resistant gastric carcinoma cell line SGC7901/ADR

Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure

Global and local information integrated network for remaining useful life prediction

Spatio-Temporal Propagation: An Extended Message Passing Graph Neural Network for Remaining Useful Life Prediction

Remaining Useful Life Prediction Based on Incremental Learning

Improved Autoencoder Model With Memory Module for Anomaly Detection

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