T34-01 | Online Framework of Prognostic and Health Management for CMG under Multiphysics
Limei Tian, Danyang Han, Jinsong Yu, Liwen Zhang and Qiang Zhang |
T34-02 | Input-Output Hidden Markov Model to Manage the Remaining Useful Life of System Under Missing Data
Kamrul Islam Shahin, Christophe Simon and Philippe Weber |
T34-03 | Method for Condition Characterization of Industrial Components by Dynamic Discovering of Their Pattern Behavior
Pablo CalvoBascones, Miguel A. Sanz-Bobi and Tomás Álvarez Tejedor |
T34-04 | A Machine Learning Method Applied to the Evaluation of the Condition in a Fleet of Similar Vehicles
Pablo CalvoBascones, Miguel A. Sanz-Bobi, Chiara Brighenti and Mattia Ricatto |
T34-05 | Combination of Probabilistic and Deterministic Models in Degradation Prognostics with Limited Data
Petteri Ojala, Jari Rämö, Minna Niittymäki and Juha Miettinen |
T34-06 | Prognostics for Gas Distribution Networks: Models Based on Interval-Valued Time Series
Victor Krymsky, Ramis Imilbaev and Andrey Yunusov |
T34-07 | Estimating the Remaining Useful Life of a Flow Distribution System
Kamrul Islam Shahin, Christophe Simon and Philippe Weber |
T34-08 | Online Remaining Useful Life Management Considering Operating Conditions to Match the Given Maintenance Date
Kamrul Islam Shahin, Christophe Simon and Philippe Weber |
T34-09 | Degradation and Maintenance Modeling of Dynamic Systems
Yves Langeron, Khac Tuan Huynh and Antoine Grall |
T34-10 | Calculation of the Prediction Interval for Negative Correlation Learning via Delta Method
Simon Hagmeyer and Peter Zeiler |
T34-11 | Industrial Component Wear Classification using Machine Learning Models
Aleksander Jakubowski, Rafał Grądzki and Marcin Derlatka |
T34-12 | Analysis of Lifetime Prediction of the on Board Starter Current
Mariusz Zieja, Justyna Tomaszewska and Mariusz Michalski |
T34-13 | Swarm Artificial Intelligence Systems for Prognosis and Preventive Management in Engineering and Medicine
Sergei Kirillov, Aleksandr Kirillov, Natalia Kirillova and Michael Pecht |
T34-14 | Performance Analysis of Redundant Safety-Instrumented Systems Considering the Imprecision of Information in Proof Tests
Aibo Zhang, Himanshu Srivastav, Anne Barros, Dariusz Mazurkiewicz and Yiliu Liu |
T34-15 | Degradation Modelling using a Phase Type Distribution (PHD)
Ewa Laskowska and Jørn Vatn |
T34-16 | Phase Type Modelling for Approximation of the Geometric Brownian Motion
Jørn Vatn |
T34-17 | Configurable Monitoring of Machine Tools Status in Smart Factories
Luca Landi, Nicola Chiavatti, Luca Grilli and Marco Preteni |
T34-18 | Hybrid Architecture of Deep Convolutional Variational Auto-Encoder for Remaining Useful Life Prediction
Ryad Zemouri, Zeina Al Masry, Ikram Remadna, Sadek Labib Terrissa and Noureddine Zerhouni |
T34-19 | Study of Packaging and Installation of FBG Sensors for Monitoring of Aircraft Systems
Pier Carlo Berri, Cosimo Corsi, Matteo D.L. Dalla Vedova, Alessio D. Laudani, Paolo Maggiore and Cristian Secci |
T34-20 | Comparison of Metaheuristic Optimization Algorithms for Electromechanical Actuator Fault Detection
Matteo D. L. Dalla Vedova, Pier Carlo Berri and Javier Bravo Lendínez |
T34-21 | Back-EMF Reconstruction for Electromechanical Actuators in Presence of Faults
Gaetano Quattrocchi, Pier Carlo Berri, Matteo Davide Lorenzo Dalla Vedova and Paolo Maggiore |
T34-22 | Launch Vehicle Fault Injection and Fault Diagnosis based on Mil-std-1553b Data Bus
Juan Chen, Shilu Xie, Jia Li, Botao Guo and Deyi Wang |
T34-23 | A Novel Degradation State Indicator for Steam Generators of Nuclear Power Plants
Luca PinciroliPiero Baraldi, Ahmed Shokry and Enrico Zio |
T34-24 | Fleet Prognostics for Assets with Heterogeneous Deterioration Characteristics
Junqi Zeng and Zhenglin Liang |
T34-25 | Degradation Modelling of Roller Bearings using Two Different Health Indicators
Bahareh Tajiani and Jørn Vatn |
T34-26 | Model-based Prognostic of the Remaining Useful Life of Bearings Considering Model Parameter Uncertainty
Fatemeh Hosseinpour, Mehdi Behzad and Enrico Zio |
T34-27 | Fault Diagnostics by Conceptors-Aided Clustering
Mingjing Xu, Piero Baraldi and Enrico Zio |
T34-28 | System-Level Prognostics and Health Monitoring Methodology for Complex Inter- Dependent Systems
Wadie Chalgham and Ali Mosleh |
