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