PROPOSAL

Sound-based Predictive Maintenance

Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Novo Nordisk
  • Survey of potential sensor modalities (sounds, ultrasounds, vibrations) and related work (e.g., wind turbines)
    • Starting with sound: Piezo contact mics/transducers, MEMS sensors
  • Characterization of state based on known signatures (classification problem)
  • Characterization of state transitions (HMM)
  • Experimentation on Coffee machine/Blender/3D printer at PitLab
    • 1..k sensors; Local/cloud-based processing.
  • Experimentation on roller compacter/tableting machines at NN