Basic Reliability Statistics by Chet Haibel Cost $200 per person 2 hours

Basic Reliability Statistics first looks at reliability definitions and categorizes failures by their occurrence in time and by their persistence, then shows mathematically why failures happen using the strength versus load viewpoint, justifying the bathtub curve.  Mechanical component reliability is calculated from strength and load using Safety Margin and then using a Monte Carlo simulation.

The four reliability functions are presented and the simplest distribution, the exponential is focused upon.  Obtaining the point estimate for the Mean Time To Failure experimentally is indicated.  Confidence bounds and truncated testing are used to obtain MTTF with confidence.  Serviceability and availability calculations are presented using an example of an X-ray tube.

Reliability Block Diagrams and how component and subsystem reliabilities are combined is shown.  Series configuration is illustrated using an electrical circuit reliability prediction.  Parallel configuration is introduced with its mathematics:  cut sets, tie sets, shared load, and r of n redundancy are shown and illustrated with examples.

Chet Haibel is an experienced leader in New Product Development, Quality, Reliability and Risk Management.  He has 25 years of reliability experience, including disk drives and a wide variety of medical devises.  Chet holds Bachelor of Science and Master of Engineering degrees from Cornell University and is a certified Six Sigma Green Belt.  Chet is a senior member of the American Society for Quality and is certified by ASQ as a Quality Auditor, Biomedical Auditor, Quality Engineer, Software Quality Engineer, Reliability Engineer, and Manager of Quality/Organizational Excellence.

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