Conference Topics (but not limited to)

PHM Theory and Method

  • Condition-based and predictive maintenance
  • Detection, diagnostics & prognostics Methods
  • Verification and validation
  • Machine Learning (incl. deep Learning)
  • Explainable and trustworthy PHM
  • Physics of failure
  • Modeling of degradation
  • Fault-adaptive control
  • Data-driven, model-based, and hybrid methodologies for PHM

PHM Design and Integration

  • Digital twin and digital thread
  • Decision support systems
  • IoT for PHM
  • Software and hardware for PHM
  • Standards for PHM
  • Failure mode, effects and criticality analysis
  • Smart manufacturing (planning, automation, device, sensors)
  • Cost benefit and return-on-investment analysis

PHM Applications

  • ­Energy systems (power plant, wind turbine, photovoltaics, etc.)
  • Mobility and transport (automobile, rail, marine, etc.)
  • Aerospace systems (aviation, UAV, rocket engine, artificial satellite, etc.)
  • Process industry (steel, chemical, glass, oil & gas, semiconductor, etc.)
  • Electronic and electrical systems (semiconductor, battery, substrate, solder, elevator, HVAC, automatic ticket gate, etc.)
  • Structural health monitoring (bridge, road, building, tunnel, etc.)
  • Cyber physical system (smart grid, disaster prevention, autonomous automobile, medical monitoring, etc.)
  • Mechanical and hydraulic systems (rotating machinery, construction machinery, tribology, water supply, etc.)
  • Communication network (mobile network, cybersecurity, etc.)