The 3-day course gives a complete overview of Weibull analysis, starting with the basics of performing a Weibull analysis and interpretation of the results. The course progresses through more complex applications of Weibull as well as other distributions. Weibull software applications are utilized to give students hands-on examples of performing analyses and interpreting the results. Class problems round out the in-depth presentation.
Who Should Take the Course
Engineers responsible for reliability, safety, supportability, maintainability, materials, warranty, life cycle cost, design, structures, instrumentation, and logistics will find these Weibull techniques extremely useful.
What the Student Will Learn
The 3-day course will familiarize students with the essential methods and techniques, and how to use Weibull analysis software to apply these methods to their specific problems. Students will be presented with applications for risk forecasting with renewal and optimal component replacement, illustrated with case studies. Upon completion of the course, students are fully qualified to conduct Weibull Analyses.
Each attendee will receive the entire SuperSMITH™ package, a $960 value, included are:
- a copy of The New Weibull Handbook, 5th edition
- WinSMITH™ Weibull software
- WinSMITH™ Visual software
- YBATH software
- the computer tutorial
- classwork and answers
Each attendee is required to bring a battery powered laptop computer for use during the presentation. Students may bring their own data for analysis.
Wes Fulton is founder and CEO of Fulton Findings™. Mr. Fulton worked as an aircraft – actuation – projects program engineer employed at AiResearch Los Angeles Division, AlliedSignal Aerospace Corporation (now Honeywell), and Moog for 16 years. As a program engineer for maneuvering fly-by-wire flight controls, he had engineering and management responsibility for Taiwan’s Indigenous Defensive Fighter leading edge flap actuation system (LEFAS) development and production, the Rockwell/MBB X-31A LEFAS flight test program, and General Dynamics’ F-16 Fighting Falcon LEFAS deployment support. While at AiResearch, he co-patented a multi-fuseable shaft for use in a high performance drive-train. Mr. Fulton has over 25 years of programming experience as a private programmer. He developed the first widely-used Weibull Engineering software, WeibullSMITH™. He wrote SuperSMITH™, the widely adopted software package for variability analysis, including WinSMITH™ Weibull and WinSMITH Visual programs. His assurance-index concept combines reliability and confidence into a single metric. His Justified-Likelihood-Function (JLF) and Fulton-Factor (FF) reduce bias in design-comparison applications. He has presented Dr. Bob Abernethy’s Weibull-Lognormal Analysis Workshop hundreds of times for businesses, government organizations, and engineering societies in the U.S. and internationally. He is a contributor to Dr. Abernethy’s standard Weibull reference, The New Weibull Handbook(c). He received his B.S. in mechanical engineering from Georgia Tech and his M.S. in mechanical engineering from California State University at Long Beach.
Mr. Carl Tarum is the Director of Software Research at Fulton Findings. His prior experience at Nexteer Automotive included ISO 26262 Functional Safety for Electric Power Steering. Prior roles included Design for Six Sigma Master Black Belt, where he taught, coached, and managed certification records. As a Reliability Engineer, he developed life testing and reliability predictions for hydraulic systems and new development. He has four patents related to steering systems. Additionally, Mr. Tarum developed the SuperSMITH® YBath™ and Help modules. He has conducted extensive research on p-value estimates for goodness of fits and methods to analyze mixtures of failure modes. He received his B.S.M.E from Montana State University, and his M.B.A from the University of Michigan – Flint.
To schedule an instructor-led in person training course on this, e-mail us at email@example.com or call us at 877.808.0097 (toll free) or 315.732.0097.