< Back to previous page

Project

Vibroacoustic based condition monitoring of rotating machinery under non stationary operating conditions

The mechanical failures account for more than 60% of breakdowns of industrial machinery, leading to huge loss. Therefore, the identification of impending mechanical fault is crucial to prevent the system from malfunction. The research would be focused on application of several sensors of multiple natures, like temperature, vibration, acoustics, on various faulty machinery. This project entails development, improving and testing of vibroacoustic based condition monitoring algorithms suitable for application under non stationary operating conditions. These algorithms will be used for early, accurate, robust and cost effective fault detection, isolation (determining which component fails) and identification (failure mode and severity) to assist in life cycle management of the structural integrity of rotating machinery that are critical to the economy of Belgium. The project will focus specifically on rotating machinery that contain bearings, gears and blades as key components. The developed algorithms will be tested and evaluated on simulated data, on benchmark cases and on a number of different test setups at KU Leuven. These setups will combine monitoring strategies to explore the monitoring of each of these components individually under non stationary operating conditions, but will also allow for studying the interactions of the dynamics of each of these components with each other

Date:24 Nov 2017 →  24 Nov 2021
Keywords:Condition monitoring
Disciplines:Control systems, robotics and automation, Design theories and methods, Mechatronics and robotics, Computer theory, Manufacturing engineering, Other mechanical and manufacturing engineering, Product development
Project type:PhD project