Technical Programme

Session: T34Prognostics and System Health Management


Online Framework of Prognostic and Health Management for CMG under Multiphysics
Limei Tian, Danyang Han, Jinsong Yu, Liwen Zhang and Qiang Zhang


Input-Output Hidden Markov Model to Manage the Remaining Useful Life of System Under Missing Data
Kamrul Islam Shahin, Christophe Simon and Philippe Weber


Method for Condition Characterization of Industrial Components by Dynamic Discovering of Their Pattern Behavior
Pablo CalvoBascones, Miguel A. Sanz-Bobi and Tomás Álvarez Tejedor


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


Combination of Probabilistic and Deterministic Models in Degradation Prognostics with Limited Data
Petteri Ojala, Jari Rämö, Minna Niittymäki and Juha Miettinen


Prognostics for Gas Distribution Networks: Models Based on Interval-Valued Time Series
Victor Krymsky, Ramis Imilbaev and Andrey Yunusov


Estimating the Remaining Useful Life of a Flow Distribution System
Kamrul Islam Shahin, Christophe Simon and Philippe Weber


Online Remaining Useful Life Management Considering Operating Conditions to Match the Given Maintenance Date
Kamrul Islam Shahin, Christophe Simon and Philippe Weber


Degradation and Maintenance Modeling of Dynamic Systems
Yves Langeron, Khac Tuan Huynh and Antoine Grall


Calculation of the Prediction Interval for Negative Correlation Learning via Delta Method
Simon Hagmeyer and Peter Zeiler


Industrial Component Wear Classification using Machine Learning Models
Aleksander Jakubowski, Rafał Grądzki and Marcin Derlatka


Analysis of Lifetime Prediction of the on Board Starter Current
Mariusz Zieja, Justyna Tomaszewska and Mariusz Michalski


Swarm Artificial Intelligence Systems for Prognosis and Preventive Management in Engineering and Medicine
Sergei Kirillov, Aleksandr Kirillov, Natalia Kirillova and Michael Pecht


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


Degradation Modelling using a Phase Type Distribution (PHD)
Ewa Laskowska and Jørn Vatn


Phase Type Modelling for Approximation of the Geometric Brownian Motion
Jørn Vatn


Configurable Monitoring of Machine Tools Status in Smart Factories
Luca Landi, Nicola Chiavatti, Luca Grilli and Marco Preteni


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


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


Comparison of Metaheuristic Optimization Algorithms for Electromechanical Actuator Fault Detection
Matteo D. L. Dalla Vedova, Pier Carlo Berri and Javier Bravo Lendínez


Back-EMF Reconstruction for Electromechanical Actuators in Presence of Faults
Gaetano Quattrocchi, Pier Carlo Berri, Matteo Davide Lorenzo Dalla Vedova and Paolo Maggiore


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


A Novel Degradation State Indicator for Steam Generators of Nuclear Power Plants
Luca PinciroliPiero Baraldi, Ahmed Shokry and Enrico Zio


Fleet Prognostics for Assets with Heterogeneous Deterioration Characteristics
Junqi Zeng and Zhenglin Liang


Degradation Modelling of Roller Bearings using Two Different Health Indicators
Bahareh Tajiani and Jørn Vatn


Model-based Prognostic of the Remaining Useful Life of Bearings Considering Model Parameter Uncertainty
Fatemeh Hosseinpour, Mehdi Behzad and Enrico Zio


Fault Diagnostics by Conceptors-Aided Clustering
Mingjing Xu, Piero Baraldi and Enrico Zio


System-Level Prognostics and Health Monitoring Methodology for Complex Inter- Dependent Systems
Wadie Chalgham and Ali Mosleh