Three-day foundation course in reliability engineering across design, manufacture, test and field support: reliability maths and data analysis, predictions, FMECA, fault tree analysis and reliability testing.
A foundational course in applying basic reliability engineering principles during product design, manufacture, test and field support, for newcomers and for managers weighing approaches. Day one covers the need for reliable designs, terms and measures, reliability mathematics and models, data analysis, tailoring and sources of reliability knowledge; day two covers reliability analyses and their benefits, reliability predictions, FMECA and design approaches; day three covers fault tree analysis and other analyses, test approaches, reliability qualification, reliability growth testing, accelerated testing and environmental stress screening. Participants receive a seminar manual.
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The need for reliable designs · Reliability terms and measurements · Basic reliability maths and models · Reliability data analysis · Tailoring reliability approaches · Sources of reliability knowledge
Reliability analyses and benefits · Reliability predictions · Failure mode, effects and criticality analysis · Approaches to reliability designs
Fault tree analysis · Other types of reliability analyses · Effective test approaches · Reliability qualification · Reliability growth testing · Accelerated reliability testing · Environmental stress screening
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.