Home
About Us
Services
Training Courses
Activities
Our Projects
Publishing
Innovation Challenges
News
Contact
Cerca
Menu
Menu
Publishing
Sei in:
Home
1
/
Publishing
2022
Estimation of the Lower Heating Value of Solid Recovered Fuel Based on Swir Hyper-Spectral Images and Machine Learning
Calculation Of The Collapse Rating Of Individual Pipe Joints For OCTG Casing And Tubing
A general model for life-cycle cost analysis of Condition-Based Maintenance enabled by PHM capabilities
A reliability-centered methodology for identifying renovation actions for improving resilience against heat waves in power distribution grids
Optimal Management of the Flow of Parts for Gas Turbines Maintenance by Reinforcement Learning and Artificial Neural Networks
Gaussian Fields for Predicting Drift of Oil and Gas Pipes
Deep reinforcement learning based on proximal policy optimization for the maintenance of a wind farm with multiple crews
Optimization of the Operation and Maintenance of renewable energy systems by Deep Reinforcement Learning
2021
Optimal Prognostics and Health Management-driven inspection and maintenance strategies for industrial systems
A physics-informed machine learning framework for predictive maintenance applied to turbomachinery assets
An Interdisciplinary Approach For Investigating an Accident Originating From Leakage In A Gasketed Bolted Joint
Agent-Based Modeling and Reinforcement Learning for Optimizing Energy Systems Operation and Maintenance: the Pathmind Solution
Deep Reinforcement Learning for Optimizing Operation and Maintenance of Energy Systems Equipped with PHM Capabilities
A Supervised Classification Method Based on Logistic Regression with Elastic-Net Penalization for Heat Waves Identification to Enhance Resilience Planning in Electrical Power Distribution Grids
2020
Industrial Equipment Reliability Estimation: a Bayesian Weibull Regression Model with Covariate Selection
Towards Developing a Novel Framework for Practical PHM: a Sequential Decision Problem solved by Reinforcement Learning and Artificial Neural Networks
Partially Observable Markov Decision Processes for Optimal Operations of Gas Transmission Networks
Challenges to IoT-enabled Predictive Maintenance for Industry 4.0
A Risk-Based Diagnostic Campaign Optimization for Electric Power Distribution Networks
Unsupervised Domain Adaptation for Dynamic in Weighing Motion System of Freight Rail Carriages Under Varying Ballast Conditions
Enhancements of Reliability Centered Maintenance Analysis and its Application to the Railway Industry
Optimal Part Flow in Maintenance Service Contracts of Gas Turbines
IRIS: a Novel Approach to Monitoring Risk in Safety Critical Plants
Pipe Drift Estimation Based on the Measurements of Geometrical Parameters from a Single Pipe
2019
Probabilistic model data of time-dependent accident scenarios for a mixing tank mechanical system
An evidential similarity-based regression method for the prediction of equipment remaining useful life in presence of incomplete degradation trajectories
A Reinforcement Learning Framework for Optimal Operation and Maintenance of Power Grids
Portfolio optimization of safety measures for the prevention of time-dependent accident scenarios
Portfolio Decision Analysis for Risk-Based Maintenance of Gas Networks
A Reinforcement Learning approach to optimal part ow management for gas turbine maintenance
A Novel Method for Sensor Data Validation based on the analysis of Wavelet Transform Scalograms
2018
A fuzzy expectation maximization based method for estimating the parameters of a multi-state degradation model from imprecise maintenance outcomes
A Markov Decision Process framework for optimal operation of monitored multi-state systems
A heterogeneous ensemble approach for the prediction of the remaining useful life of packaging industry machinery
Optimal allocation of Prognostics and Health Management capabilities to improve the reliability of a power transmission network
Development of a methodology for systematic analysis of risk reduction by protective measures in tyre production machinery
An advanced early fault detection tool for predictive maintenance of a fleet of industrial gas turbines
Homogeneous Continuous-Time, Finite-State Hidden Semi-Markov Modeling for Enhancing Empirical Classification System Diagnostics of Industrial Components
A Reinforcement Learning Framework for Optimization of Power Grid Operations and Maintenance
2017
Handling reliability big data: a similarity-based approach for clustering a large fleet of assets
A Fault Diagnostic tool based on a First Principle Model Simulator
A Clustering Approach for Mining Reliability Big Data for Asset Management
An unsupervised clustering method for assessing the degradation state of cutting tools used in the packaging industry
Comparison of Weibayes and Markov Chain Monte Carlo methods for the reliability analysis of turbine nozzle components with right censored data only
Aggregation of Importance Measures for decision making in reliability engineering
Availability model of a PHM-equipped component
Portfolio optimization of safety measures for reducing risks in nuclear systems
Reliability model of a component equipped with PHM capabilities
2016
Availability Assessment of Oil and Gas Processing Plants Operating under Dynamic Arctic Weather Conditions
Development of a Bayesian multi-state degradation model for up-to-date reliability estimations of working industrial components
Improving scheduled maintenance by missing data reconstruction: a double-Loop Monte Carlo approach
Risk-based optimization of pipe inspections in large underground networks with imprecise information
Semi-Markov model for the oxidation degradation mechanism in gas turbine nozzles
Need support? Please contact
ats@aramis3d.com
Scorrere verso l’alto