Three-day course on quantitative reliability analysis across the system life cycle: stress-strength analysis, data analysis, reliability demonstration tests and design of experiments.
Covers the basics of quantitative reliability analysis as applied to developing and fielding products and systems, treating reliability as part of every life cycle stage from requirements definition and concept development through design verification, qualification, reliability growth and demonstration testing, and field monitoring. Topics include stress-strength analysis, graphical and statistical data analysis, reliability demonstration test methods and design of experiments. Suitable as a follow-on to Reliability 101 or as a standalone course.
Facilitator details as listed by the provider. Assignments may vary by scheduled course.
Design accelerated tests to estimate how products perform over their service lives.
Three-day blended short course on the systems engineering and safety assurance of autonomous systems that use AI, from hazards and machine learning assurance to human-autonomy teaming and the autonomous systems safety case.
Two-day hands-on course on system and design FMEA using the AIAG-VDA seven-step approach, from boundary and P diagrams to risk analysis, optimisation and design verification planning (DVP&R), with an optional certification exam.