Projects
Condition Monitoring of Rolling Element Bearings based on Artificial Intelligence: from Kernel Methods to Simulation-based Transfer Learning KU Leuven
Rolling element bearings are commonly used in rotating machinery as critical components to transmit power and carry loads while boosting the relative motion between two structures. The condition of bearings plays a prominent role in machinery's overall health and thus has become the primary target in condition monitoring research. In recent years, Artificial Intelligence (AI) is quickly seeping into every corner of both the academic and ...
A Hybrid Approach for Condition Monitoring of Machinery KU Leuven
The main maintenance approaches able to monitor complex equipment conditions for diagnostic and prognostic purposes are model-based, statistical, and Artificial Intelligence-based; to the best candidate’s knowledge, little efforts have been put into approaches’ hybridization so far. On the whole, a lack of clarity on this issue appears from the literature analysis: some authors, indeed, consider an erroneously called hybrid approach what it ...
Condition monitoring of rotating machinery exploiting encoder and video measurements: development of novel encoder-based gear fault indicators by exploiting direct fault measurements as a ground truth KU Leuven
Condition monitoring of rotating machinery gains importance in a number of industrial applications including wind turbines and automotive, in order to optimally schedule maintenance and to guarantee operation safety and production efficiency. Diagnostic indicators serve as tools to evaluate the condition of a rotating component and can be subdivided into two types. Indirect diagnostic indicators are based on signal processing and machine ...
Development of digital twins of mechatronic systems for condition monitoring KU Leuven
The focus of this PhD track is on the development and deployment of Digital Twins (DTs) in service to condition monitoring and prognostics. In the era of Industrial Internet of Things (IIoT) and Industry 4.0, mechatronics systems such as wind turbines and transmissions will be equipped with a variety of sensors providing new information for the development of novel designs, monitoring systems and controllers, aiming at higher machine ...
Condition-based maintenance and inventory management in aftermarket services KU Leuven
Capital assets, such as manufacturing equipment, require maintenance to remain functioning. Maintenance can be performed when a component breaks down and needs replacement (i.e., corrective maintenance, CM), or the maintenance and part replacement can be performed preventively. Preventive maintenance can be planned on a periodic basis (i.e., periodic maintenance, PM), or it can be triggered by a certain monitored condition (i.e., ...
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 ...
Supporting human capital in digital transformation for process optimization and condition-based maintenance. KU Leuven
The digital transformation to industry 4.0 is creating new digitized machines, production lines and installations. Thanks in part to advanced sensors and the use of artificial intelligence, existing assets can be optimized in terms of maintenance, energy efficiency, life span, and productivity, among other things. This digitalization requires the sharpening of existing or the acquisition of new competencies, for example by following the ...
Integrated condition-based maintenance of multi-component manufacturing equipment Ghent University
The technology to capture and interpret information related to the health (condition) of a manufacturing system is maturing rapidly. However, the translation to efficient maintenance policies, that take into account some important operational processes, must still be thoroughly investigated and is the focus of this research proposal. We will develop more efficient integrated
condition-based maintenance policies for multi-component ...
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 ...