The proposed research track runs at the KU Leuven Mecha(tro)nic System Dynamics (LMSD) division which currently counts more than 100 researchers and is part of the Department of Mechanical Engineering, a vibrant environment of more than 300 researchers (www.
mech.kuleuven.be). Doctoral training is provided in the framework of the Leuven Arenberg Doctoral School (https : / / set.
kuleuven.be / phd). LMSD has a longstanding history and internationally highly recognized expertise in the fields of condition monitoring, numerical modeling, engineering dynamics, automotive engineering, vibro-acoustic analysis, identification and robust optimal control of (non-) linear systems, active control and lightweight structure design and analysis.
It is also recognized for its yearly Modal Analysis (ISMA) and Acoustics (ISAAC) courses and for organizing the biennial ISMA Noise and Vibration Engineering Conference (www.
isma-isaac.be). The research group has a long track record of combining excellent fundamental academic research with industrially relevant applications, leading to dissemination in both highly ranked academic journals as well as on industrial fora.
Furthermore, the group contributes to the Dynamics of Mechanical and Mechatronic Systems (DMMS) University Core Lab of Flanders Make.
Flanders Make (https : / / www.flandersmake.be / en) is the strategic research centre for the manufacturing industry in Flanders, stimulating open innovation through excellent research.
The research group's international research flavour is illustrated amongst others by the large portfolio of research projects (https : / / www.
mech.kuleuven.be / en / mod / Projects) which includes regional, national and international funded activities through which the group cooperates with leading mechatronic and machine & vehicle-building companies in Flanders and throughout Europe.
More information on the research group can be found on the website : https : / / www.mech.kuleuven.be / en / research / mod / about and our Linked.
In page : https : / / www.linkedin.com / showcase / noise-&-vibration-research-group / . The PhD will be co-supervised by Prof Konstantinos Gryllias and Dr. Hervé Denayer.
Manufacturing companies continuously try to increase their productivity by avoiding machine downtime and increasing the quality of the delivered products.
Hence, monitoring and diagnosing the health of the production lines and machines during operation is crucial. A necessary step to achieve this goal is to find robust and cost-efficient monitoring solutions for timely detection of anomalies and quality issues in machines and vehicles.
Acoustic monitoring provides a solution, in particular for applications where 1) it is too costly to install sensors on all components which might fail, 2) it is too difficult or impossible to install and / or integrate a sensor on the components or subsystems.
Acoustic monitoring techniques could offer a solution for such cases where conventional, often vibration-based approaches can’t be applied.
However, current acoustic monitoring systems have two main problems : lack of robustness and difficult deployment in industrial environments.
Therefore, this PhD track targets to develop a more robust and easier to deploy acoustic monitoring toolchain for the detection of anomalies and quality issues in machines and vehicles, based on novel measurement techniques, acoustic modeling methods, advanced denoising approaches, signal processing and machine learning.
The new methodologies will be tested and validated on dedicated test rigs exploiting the state of the art equipment which is available within the research group.
If you recognize yourself in the story below, then you have the profile that fits the project and the research group.
I read technical papers, understand the nuances between different theories and implement and improve methodologies myself.
I work with a sufficient degree of independence to follow my plan and achieve the goals. I indicate timely when deviations of the plan are required, if goals cannot be met or if I want to discuss intermediate results or issues.
I iterate on my work and my approach based on the feedback of my supervisors which steer the direction of my research.
I see these events as an occasion to disseminate my work to an audience of international experts and research colleagues, and to learn about the larger context of my research and the research project.
kuleuven.be / phd), known for its strong focus on both future scientists and scientifically trained professionals who will valorise their doctoral expertise and competences in a non-academic context.
More information on the training opportunities can be found on the following link : https : / / set.kuleuven.be / phd / dopl / whytraining.
This strategic positioning and the strong presence of the university, international research centers, and industry, lead to a safe town with high quality of life, welcome to non-Dutch speaking people and with ample opportunities for social and sport activities.
The mixture of cultures and research fields are some of the ingredients making the university of Leuven the most innovative university in Europe (KU Leuven is the Most Innovative University of Europe Faculty of Arts).
Further information can be found on the website of the university : https : / / www.kuleuven.be / english / living