Damage monitoring using vibroacoustic analysis
KU Leuven, Belgium
Apply no later than: October 11, 2015
Project
Complex mechanical systems, such as aircraft, surfaceship, 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 ina probabilistic framework. Different type of sensors will be used and as trategy 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.
Profile
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
You can apply for this job no later than October 11, 2015 via the online application tool
https://icts.kuleuven.be/apps/jobsit...391508?lang=en
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