Fault prognostics in rotating machinery

For the Department of Mechanical Engineering, Production Engineering, Machine Design and Automation (PMA) Section we are looking for an (Electro-mechanical) engineer with strong background and interest in signal processing, measurements and vibroacoustic condition monitoring/fault detection/diagnosis/prognostics in complex electromechanical systems.
The proposed research track runs at the KU Leuven Noise and Vibration Research Group which currently counts 74 researchers and is part of the Mechanical Engineering Department, a vibrant environment of close to 250 researchers (www.mech.kuleuven.be). Doctoral training is provided in the framework of the Leuven Arenberg Doctoral School (https://set.kuleuven.be/phd).
The Noise and Vibration Research Group has a longstanding history and internationally highly recognized expertise in the fields of numerical modeling, engineering dynamics, automotive engineering, vibro-acoustic analysis, identification and robust optimal control of (non-)linear systems, active control, numerical modeling and lightweight structure design and analysis. The Noise and Vibration research group is also recognized for its yearly Acoustics (ISAAC) and Modal Analysis (ISMA) courses and for organizing the biennial ISMA Noise and Vibration Engineering Conference (www.isma-isaac.be). Furthermore, the group is Partner of the Strategic Research Centre Flanders Make and coordinates the Flanders Make Department of Mechatronics and Design Methods.
The research group's international research flavour is illustrated amongst others by the large portfolio of research projects (http://www.mech.kuleuven.be/en/pma/research/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.

The vibroacoustic signature of a machine contains pivotal information about the state of the machine and its components. Sensors are placed as close as possible to the components of interest and a plethora of signal processing tools and methods have been proposed in order to monitor the condition of the machine and further accurately and on time detect the development of a fault. Nowadays the condition monitoring is more and more connected with the Integrated Health Management and the Maintenance. Consequently it gets important for the industry not only to identify the fault but also to estimate the Remaining Useful Life of the component in order to prepare in an optimum way the maintenance actions and the operation planning.
The PhD research will focus on the development and application of methodologies in order to perform prognostics and estimation of the Remaining Useful Life (RUL) in complex electromechanical systems. The main objectives will be the development of novel and effective methods and techniques for feature extraction, feature selection and feature quality assessment in order to estimate online the fault degradation and the RUL in rotating machinery under steady and variable operating conditions (variable speed & load). The uncertainty propagation in the degradation process will be investigated in a probabilistic framework. The performance and the effectiveness of the prognostic techniques will be evaluated, demonstrated and validated through numerical simulation, experimental studies and well established signal databases.

We are looking for a highly motivated, enthusiastic, communicative and eager to learn researcher with a Master of Science in Engineering (preferably in Mechanical or Electrical Engineering). The candidate should have a strong background and interest in signal processing, measurements and particularly in vibroacoustic condition monitoring/fault detection/diagnosis/prognostics in complex electromechanical systems.
The candidate is expected to:
• Have a very good knowledge of English (spoken and written)
• Be team player
• Be able to work independently, accurately and methodically
• Have the willing to present research findings at national and international conferences
• Have the willing to publish research findings in international journals

Full-time employment in an international context
Starting a PhD track on this topic is required.
Start date: as soon as possible

For more information please contact Prof. Dr. Ir. Konstantinos Gryllias, tel.: +32 16 32 30 00, mail: konstantinos.gryllias@kuleuven.be
You can apply for this job no later than October 11, 2015 via the online application tool (Bij publicatie komt hier automatisch de link naar de online sollicitatiepagina.)
KU Leuven carries out an equal opportunity and diversity policy.


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