Projects
Structural Health Monitoring and Predictive Maintenance of Complex Systems including Composites and 3D Printed Structures KU Leuven
Fault localization and reconstruction in engineering structures using structural health monitoring (SHM) techniques have been mainly addressed using traditional physical-based methods. Recent advance in data science leverage intelligent SHM systems, which comprise sensors and processing units deployed to transform sensor data into decisions. This enhances the reliability, availability, and also lowers the operation and maintenance costs of ...
Flanders Make DGTwinPrediction_SBO - A Digital Twin for Health Monitoring and Predictive Maintenance Ghent University
In the era of Industrial Internet of Things (IIoT) and Industry 4.0, complex electromechanical systems will be equipped with a variety of sensors providing new opportunities for the development of Health Monitoring and Management Systems ...
Physics-enhanced machine learning for domain-aware predictive maintenance. Ghent University
Unexpected breakdowns in manufacturing occur frequently, resulting in periods of downtime and potential revenue losses. Recent research advancements apply machine learning to predict the occurrence of these breakdowns. Based on the collection of historical data describing the circumstances before these malfunctions appear, models are trained to find patterns in the data that predict the remaining life time of a machine. The main drawback of ...
BAP-2022-83 Structural Health Monitoring and Predictive Maintenance of Complex Structural Systems KU Leuven
The deterioration of large infrastructure systems represents trillions of dollars in public and private domains world-wide. Currently, infrastructure asset managers face numerous challenges to maintain their assets. This includes the inability to predict residual service life of the offshore & coastal infrastructure assets as damage accumulation over time (e.g., corrosion in marine environment, docking impacts due to vessels) and ...
Structural Health Monitoring and Predictive Maintenance of Complex Systems including Composites and 3D Printed Structures KU Leuven
Structural failure in the aerospace, civil and energy sectors can be life threatening for users/passengers and financially catastrophic for operators and the manufacturer. This is the main reason for which critical structures (i.e. aircrafts, wind turbines etc.) spend large part of their life cycle under inspection with the accompanied costs being significant. On-line detection and characterization of minor failures within complex (composite ...
Statistical Relational Learning for Predictive Maintenance. KU Leuven
Within the field of Artificial Intelligence, there is a lot of interest in combining
probability and expressive representations for dealing with complex relational
and dynamic domains. A common approach to reason with these representations
is to rely on existing techniques for propositional models and thus requires to
first ground the underlying model into a propositional representation. This
strategy comes at a cost, ...
Joint R&D 2022: Predictive maintenance: bridging the gap between BMS & operations for more sustainable buildings Vrije Universiteit Brussel
Condition-based maintenance Flanders Make
With this project, Flanders Make wants to answer the question for support by companies to realize predictive maintenance based on continuously monitoring selected machine components. The goal is to spread knowledge concerning predictive maintenance, as well as to lead companies to the correct methodology and technology for their condition monitoring needs. The target audience for this project are both small and large companies, with a focus ...
Cost-efficient strategies for building, transferring and maintenance of in factory spectroscopic sensors KU Leuven
The process of quality control for the inspection of products in industries requires methods that quantify the concentration of chemical constituents before products are distributed to consumers. Nowadays, industries are transforming these processes by adopting methods that are more efficient, waste fewer resources, and are non-destructive for the material that is inspected. Such methods rely on spectroscopy technology in which devices are ...