While most agree that the FMEDA method provides very accurate diagnostic measurements, it is understood that overall results depend on a good component failure database that matches the application environment. A database calibrated and compared to well analyzed field failure data offers high accuracy, perhaps the best. The web seminar describes the FMEDA technique. This web seminar also then describes Predictive Analytics, a field failure analysis technique that utilizes known design information to verify quality of the data. The results from over ten billion unit operating hours of field failure studies are compared with FMEDA results. The resulting improvements to both the component database and the field failure data collection systems are covered.
exida Recorded Webinars
Accurate Failure Data – Field Calibrated FMEDA Results
Recording Date: March 2012
About the Presenter:
Dr. William Goble, CFSE
Dr. Goble has over 40 years of professional experience. He is widely recognized as an expert in programmable electronic systems analysis, safety and high availability automation systems, automation systems new product development and market analysis. He developed many of the techniques used for probabilistic evaluation of safety and high availability automation systems. He has published many papers and magazine articles. Dr. Goble has a BSEE from Penn State, a MSEE from Villanova and a PhD from Eindhoven University of Technology in Eindhoven, Netherlands.