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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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Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers

IEEE transactions on industrial informatics, 2022-11, Vol.18 (11), p.8077-8086

2022

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Bayesian transfer learning with active querying for intelligent cross-machine fault prognosis under limited data

Mechanical systems and signal processing, 2023-01, Vol.183, p.109628, Article 109628

2023

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A Novel Bayesian Deep Dual Network With Unsupervised Domain Adaptation for Transfer Fault Prognosis Across Different Machines

IEEE sensors journal, 2022-04, Vol.22 (8), p.7855-7867

2022

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Electrochemical Impedance Spectroscopy Based State-of-Health Estimation for Lithium-Ion Battery Considering Temperature and State-of-Charge Effect

IEEE transactions on transportation electrification, 2022-12, Vol.8 (4), p.4633-4645

2022

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High-Sensitivity Gas Pressure Fabry-Perot Fiber Probe With Micro-Channel Based on Vernier Effect

Journal of lightwave technology, 2019-07, Vol.37 (14), p.3444-3451

2019

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An Enhanced Deep Learning-Based Fusion Prognostic Method for RUL Prediction

IEEE transactions on reliability, 2020-09, Vol.69 (3), p.1097-1109

2020

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A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing

Journal of manufacturing systems, 2021-10, Vol.61, p.757-772

2021

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A hybrid prognosis scheme for rolling bearings based on a novel health indicator and nonlinear Wiener process

Reliability engineering & system safety, 2024-05, Vol.245, p.110014, Article 110014

2024

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A New Incremental Learning for Bearing Fault Diagnosis Under Noisy Conditions Using Classification and Feature-Level Information

IEEE transactions on instrumentation and measurement, 2024, Vol.73, p.1-14

2024

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Double-cross-linked aerogels towards ultrahigh mechanical properties and thermal insulation at extreme environment

Chemical engineering journal (Lausanne, Switzerland : 1996), 2020-11, Vol.399, p.125698, Article 125698

2020

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Intelligent Health Monitoring of Machine Tools Using a Bayesian Multibranch Neural Network

IEEE sensors journal, 2022-06, Vol.22 (12), p.12183-12196

2022

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Geolocation of Formation-Flying Spacecraft Using Relative Position Vector Measurements

Journal of guidance, control, and dynamics, 2022-04, Vol.45 (4), p.764-773

2022

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A dual‐channel transferable RUL prediction method integrated with Bayesian deep learning and domain adaptation for rolling bearings

Quality and reliability engineering international, 2024-07, Vol.40 (5), p.2348-2366

2024

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Cycle life improvement of ZrO2-coated spherical LiNi1/3Co1/3Mn1/3O2 cathode material for lithium ion batteries

Journal of power sources, 2009-03, Vol.188 (2), p.564-569

2009

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N-doped reduced graphene oxide decorated NiSe2 nanoparticles for high-performance asymmetric supercapacitors

Journal of power sources, 2019-06, Vol.425, p.60-68

2019

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Health prognosis of bearings based on transferable autoregressive recurrent adaptation with few-shot learning

Mechanical systems and signal processing, 2024-04, Vol.211, p.111186, Article 111186

2024

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Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data

Engineering applications of artificial intelligence, 2024-03, Vol.129, p.107539, Article 107539

2024

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High energy density and low self-discharge of a quasi-solid-state supercapacitor with carbon nanotubes incorporated redox-active ionic liquid-based gel polymer electrolyte

Electrochimica acta, 2020-01, Vol.331, p.135425, Article 135425

2020

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Novel implementation of homogenization method to predict effective properties of periodic materials

Acta mechanica Sinica, 2013-08, Vol.29 (4), p.550-556

2013

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Improved trajectory similarity-based approach for turbofan engine prognostics

Journal of Mechanical Science and Technology, 2019, 33(10), , pp.4877-4890

2019

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Recent development in structural design and optimization

Acta mechanica Sinica, 2010-12, Vol.26 (6), p.807-823

2010

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Improved redox-active ionic liquid-based ionogel electrolyte by introducing carbon nanotubes for application in all-solid-state supercapacitors

International journal of hydrogen energy, 2020-07, Vol.45 (35), p.17131-17139

2020

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A deep learning based health indicator construction and fault prognosis with uncertainty quantification for rolling bearings

Measurement science & technology, 2023-10, Vol.34 (10), p.105105

2023

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Discovering the sustainable challenges of biomass energy: a case study of Tehran metropolitan

Environment, development and sustainability, 2024-02, Vol.26 (2), p.3957-3992

2024

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A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions

Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers

Bayesian transfer learning with active querying for intelligent cross-machine fault prognosis under limited data

A Novel Bayesian Deep Dual Network With Unsupervised Domain Adaptation for Transfer Fault Prognosis Across Different Machines

Electrochemical Impedance Spectroscopy Based State-of-Health Estimation for Lithium-Ion Battery Considering Temperature and State-of-Charge Effect

High-Sensitivity Gas Pressure Fabry-Perot Fiber Probe With Micro-Channel Based on Vernier Effect

An Enhanced Deep Learning-Based Fusion Prognostic Method for RUL Prediction

A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing

A hybrid prognosis scheme for rolling bearings based on a novel health indicator and nonlinear Wiener process

A New Incremental Learning for Bearing Fault Diagnosis Under Noisy Conditions Using Classification and Feature-Level Information

Double-cross-linked aerogels towards ultrahigh mechanical properties and thermal insulation at extreme environment

Intelligent Health Monitoring of Machine Tools Using a Bayesian Multibranch Neural Network

Geolocation of Formation-Flying Spacecraft Using Relative Position Vector Measurements

A dual‐channel transferable RUL prediction method integrated with Bayesian deep learning and domain adaptation for rolling bearings

Cycle life improvement of ZrO2-coated spherical LiNi1/3Co1/3Mn1/3O2 cathode material for lithium ion batteries

N-doped reduced graphene oxide decorated NiSe2 nanoparticles for high-performance asymmetric supercapacitors

Health prognosis of bearings based on transferable autoregressive recurrent adaptation with few-shot learning

Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data

High energy density and low self-discharge of a quasi-solid-state supercapacitor with carbon nanotubes incorporated redox-active ionic liquid-based gel polymer electrolyte

Novel implementation of homogenization method to predict effective properties of periodic materials

Improved trajectory similarity-based approach for turbofan engine prognostics

Recent development in structural design and optimization

Improved redox-active ionic liquid-based ionogel electrolyte by introducing carbon nanotubes for application in all-solid-state supercapacitors

A deep learning based health indicator construction and fault prognosis with uncertainty quantification for rolling bearings

Discovering the sustainable challenges of biomass energy: a case study of Tehran metropolitan

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