Three-day course (20 training hours) on life-data analysis and failure prediction, with confidence intervals, system models and Crow-AMSAA analysis for repairable systems.
Covers life-data analysis and failure prediction with Weibull methods, including maximum likelihood, WeiBayes and accelerated testing, confidence intervals, system models and logic diagrams, and Crow-AMSAA analysis for renewal and repairable systems. The course uses the SuperSMITH software; the assessment for the directory rests on the method content. Delivered by Fulton Findings under Quanterion's open training programme.
Facilitator details as listed by the provider. Assignments may vary by scheduled course.
Life-data analysis and failure prediction · Maximum likelihood, WeiBayes and accelerated testing · Confidence intervals and system models (day three) · Crow-AMSAA for renewal and repairable systems · Logic diagrams
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.