2016 Prognostics and System Health Management Conference (PHM)

Principles

• Physics of failure

• Sensors and devices

• Structural sensing

• Modeling and simulation

• Data-driven methods

• Model-based methods

• Multi-sensor fusion principles

• Logic/reasoning techniques

• Verification, validation, and maturation

• Benchmarking

• Affordability aspects and the business case for PHM

• Standards and methodologies

Systems Design & Implementation

• Requirements development

• System design & engineering

• Automated reconfiguration

• Statistical analysis of uncertainty

• Component-level PHM

• Nondestructive evaluation technologies with PHM utilization

• Decision support & simulation

• PHM computer-aided engineering technologies/ applications

• Integrated structural/frame health management

Applications

• PHM within power smart grid technology

• PHM within distributed, networked & cloud computing

• PHM for electronics components and systems

• PHM within innovative aerospace and defense, appliance, medical, electric vehicle, deep drilling, and energy applications

• Fleet/industrial PHM based maintenance management

• Informed logistics

• Lessons learned from PHM systems design and integration