Damage monitoring using vibroacoustic analysis

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 in mechanical structures.
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.
Complex mechanical systems, such as aircraft, surface ship, submarines, wind turbines and power plants often have widely varying usage patterns. Due to their cost and importance, their usage is generally reported by measuring quantities such as flight hours for aircraft, years for bridges and roads and number of starts for diesel engines. As faults and anomalies are experienced over time, premature replacements of parts and periodic maintenance become more frequent to assure safety of the most heavily used structures. A solution to this problem is the online condition monitoring and failure diagnosis/prognosis by analyzing the vibroacoustic signature of the complex mechanical structure which contains pivotal information about the state of the machinery and its critical structural components.
The PhD research will focus on the development and application of methodologies in order to perform damage identification and monitoring in mechanical 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 degradation of the mechanical structure under steady and variable operating conditions. The uncertainty propagation in the degradation process will be investigated in a probabilistic framework. Different type of sensors will be used and a strategy allowing the identification of the best positions and the number of sensors to be mounted will be developed. The performance and the effectiveness of the damage diagnostic techniques will be evaluated, demonstrated and validated through numerical simulation and experimental studies.
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 in complex mechanical 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, Dr. Bert Pluymers, tel.: +32 16 32 25 29, mail: bert.pluymers@kuleuven.be or Prof. Dr. Ir. Wim Desmet, tel.: +32 16 32 25 27, mail: wim.desmet@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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