Prognostics

and

Health Management

Prognostics is a process of assessing the extent of deviation or degradation of a product from its expected normal operating conditions, and then based on continuous monitoring, predicting the future reliability of the product. Monitor data of key control signals and loads can be used in conjunction with precursor reasoning algorithms and stress-and-damage models to enable prognostics. By being able to determine when a product will fail, procedures can be developed to provide advanced warning of failures, reduce life cycle costs, and improve the design, qualification of fielded and future systems.

The course presents the tools and techniques for development and implementation of prognostics and health monitoring in terms of novel methods for in-situ monitoring, approaches for resource efficient data collection, algorithms for data reduction and parameter extraction, methods for identifying and analyzing precursors based on failure mechanisms, and techniques for predictions that can be used for assisting maintenance and logistics decisions. Different approaches for prognostics are presented along with implementation case-studies.

For planning your training course, please click here. You can also contact the calce training team led by Prof. Michael Pecht for more information.

Course Outline
  • Prognostics and health management
  • Needs and benefits of prognostics
  • Approaches for prognostics
    • Fuses and canaries
    • Monitoring failure precursors
    • Monitoring environmental and usage exposures
  • Life cycle profile development
  • Failure modes, mechanisms, and effects analysis for selection of monitoring parameter
  • Data driven prognostic approaches
    • Data and pattern exploration
    • Multivariate state estimation technique
    • Principal component analysis
    • Mahalanobis distance
  • Examples and case studies of prognostics and health management
    • Impedance analysis as a prognostics technique for detection of interconnect degradation
    • Failure prognostics of multilayer ceramic capacitor in temperature-humidity-bias conditions
    • Identification and investigation of critical failure mechanisms and failure precursors for insulated gate bipolar transistor
  • Cost benefit analysis for PHM
The course has been presented to:
  • Hong Kong University of Science and Technology (IEEE CPMT Hong Kong Chapter), Hong Kong.

Books