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A new obligate CXCL4-CXCL12 heterodimer for studying chemokine heterodimer activities and mechanisms

Scientific reports, 2022-10, Vol.12 (1), p.17204-17204, Article 17204

2022

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A new dynamic predictive maintenance framework using deep learning for failure prognostics

Reliability engineering & system safety, 2019-08, Vol.188, p.251-262

2019

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Acquisition of new technology information for maintenance and replacement policies

International journal of production research, 2017-04, Vol.55 (8), p.2212-2231

2017

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A Fresh New Look on System-level Prognostic: Handling Multi-component Interactions, Mission Profile Impacts, and Uncertainty Quantification

International journal of prognostics and health management, 2021-07, Vol.12 (No.2)

2021

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Probabilistic deep learning methodology for uncertainty quantification of remaining useful lifetime of multi-component systems

Reliability engineering & system safety, 2022-06, Vol.222, p.108383, Article 108383

2022

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Pattern recognition method of fault diagnostics based on a new health indicator for smart manufacturing

Mechanical systems and signal processing, 2020-08, Vol.142, p.106680, Article 106680

2020

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An automated health indicator construction methodology for prognostics based on multi-criteria optimization

ISA transactions, 2021-07, Vol.113, p.81-96

2021

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Health monitoring of bearing and gear faults by using a new health indicator extracted from current signals

Measurement : journal of the International Measurement Confederation, 2019-07, Vol.141, p.37-51

2019

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Model selection for degradation modeling and prognosis with health monitoring data

Reliability engineering & system safety, 2018-01, Vol.169, p.105-116

2018

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A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines

The Artificial intelligence review, 2023-04, Vol.56 (4), p.3659-3709

2023

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Physics informed machine learning model for inverse dynamics in robotic manipulators

Applied soft computing, 2024-09, Vol.163, p.111877, Article 111877

2024

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Advancing multimodal diagnostics: Integrating industrial textual data and domain knowledge with large language models

Expert systems with applications, 2024-12, Vol.255, p.124603, Article 124603

2024

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Explainable RUL estimation of turbofan engines based on prognostic indicators and heterogeneous ensemble machine learning predictors

Engineering applications of artificial intelligence, 2024-07, Vol.133, p.108186, Article 108186

2024

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Physics-informed machine learning in prognostics and health management: State of the art and challenges

Applied mathematical modelling, 2023-12, Vol.124, p.325-352

2023

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Rotor dynamics informed deep learning for detection, identification, and localization of shaft crack and unbalance defects

Advanced engineering informatics, 2023-10, Vol.58, p.102128, Article 102128

2023

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Fault detection and diagnostics in the context of sparse multimodal data and expert knowledge assistance: Application to hydrogenerators

Computers in industry, 2023-10, Vol.151, p.103983, Article 103983

2023

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Method for evaluating an extended Fault Tree to analyse the dependability of complex systems: Application to a satellite-based railway system

Reliability engineering & system safety, 2015-01, Vol.133, p.300-313

2015

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Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations

Journal of intelligent manufacturing, 2023-04, Vol.34 (4), p.1743-1759

2023

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Solving Time Alignment Issue of Multimodal Data for Accurate Prognostics with CNN-Transformer-LSTM Network

2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), 2022, Vol.1, p.280-285

2022

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Dealing with prognostics uncertainties: Combination of direct and recursive remaining useful life estimations

Computers in industry, 2023-01, Vol.144, p.103766, Article 103766

2023

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Adaptive prognostics in a controlled energy conversion process based on long- and short-term predictors

Applied energy, 2021-02, Vol.283, p.116049, Article 116049

2021

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CXCL12-CXCL4 heterodimerization prevents CXCL12-driven breast cancer cell migration

Cellular signalling, 2020-02, Vol.66, p.109488-109488, Article 109488

2020

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New Methodology for Improving the Inspection Policies for Degradation Model Selection According to Prognostic Measures

IEEE transactions on reliability, 2018-09, Vol.67 (3), p.1269-1280

2018

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Online joint estimation and prediction for system-level prognostics under component interactions and mission profile effects

ISA transactions, 2021-07, Vol.113, p.52-63

2021

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Optimal maintenance and replacement decisions under technological change with consideration of spare parts inventories

International journal of production economics, 2013-06, Vol.143 (2), p.472-477

2013

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A new obligate CXCL4-CXCL12 heterodimer for studying chemokine heterodimer activities and mechanisms

A new dynamic predictive maintenance framework using deep learning for failure prognostics

Acquisition of new technology information for maintenance and replacement policies

A Fresh New Look on System-level Prognostic: Handling Multi-component Interactions, Mission Profile Impacts, and Uncertainty Quantification

Probabilistic deep learning methodology for uncertainty quantification of remaining useful lifetime of multi-component systems

Pattern recognition method of fault diagnostics based on a new health indicator for smart manufacturing

An automated health indicator construction methodology for prognostics based on multi-criteria optimization

Health monitoring of bearing and gear faults by using a new health indicator extracted from current signals

Model selection for degradation modeling and prognosis with health monitoring data

A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines

Physics informed machine learning model for inverse dynamics in robotic manipulators

Advancing multimodal diagnostics: Integrating industrial textual data and domain knowledge with large language models

Explainable RUL estimation of turbofan engines based on prognostic indicators and heterogeneous ensemble machine learning predictors

Physics-informed machine learning in prognostics and health management: State of the art and challenges

Rotor dynamics informed deep learning for detection, identification, and localization of shaft crack and unbalance defects

Fault detection and diagnostics in the context of sparse multimodal data and expert knowledge assistance: Application to hydrogenerators

Method for evaluating an extended Fault Tree to analyse the dependability of complex systems: Application to a satellite-based railway system

Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations

Solving Time Alignment Issue of Multimodal Data for Accurate Prognostics with CNN-Transformer-LSTM Network

Dealing with prognostics uncertainties: Combination of direct and recursive remaining useful life estimations

Adaptive prognostics in a controlled energy conversion process based on long- and short-term predictors

CXCL12-CXCL4 heterodimerization prevents CXCL12-driven breast cancer cell migration

New Methodology for Improving the Inspection Policies for Degradation Model Selection According to Prognostic Measures

Online joint estimation and prediction for system-level prognostics under component interactions and mission profile effects

Optimal maintenance and replacement decisions under technological change with consideration of spare parts inventories

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