In order to maximize effectiveness, reliability should be an integral part of all aspects of a system’s life cycle, including requirements definition, concept development, product design, design verification, qualification, reliability growth management and testing, reliability demonstration testing, and field monitoring and support. As any practitioner in the field of reliability can attest, there exists a multitude of mathematical calculations and statistical techniques that can be used to assist the engineer in determining how system requirements should be allocated and how the system design should be modeled, assessed and re-designed in order to maximize the likelihood of satisfying the customer’s expectations or formal requirements. The purpose of this course is to provide illustrative examples of the more common mathematical calculations and statistical techniques utilized by reliability engineers in the practical performance of their daily activities.
The mathematical and statistical examples illustrated in this course revolve around a single hypothetical case study. In addition to providing a common thread throughout this presentation, it is hoped that by basing all calculations on a single case study, the student will come to understand that individual calculations do not exist in a vacuum. Rather, it will reinforce the notion that each phase of a project is linked to (and affects) other phases, and that conclusions drawn from a calculation are often used to influence design decisions, which may then require that previous analyses and calculations be revisited and updated.
These concepts covered in this course will be presented through lecture, class discussion and extensive in-class exercises based upon the case study example. This is a hands-on course that also serves as an excellent follow-on to our Reliability 101 and Design for Reliability offerings.
Three days (20 hours).
Individuals who need to know the basics of quantitative reliability analyses as they apply to developing and fielding better products and systems. Design engineers, reliability engineers, and product/program managers will benefit from the course. The course is ideal for persons with newly assigned responsibilities in the reliability and maintainability area, as well as managers who want to increase their awareness of the payoffs of different approaches and techniques and experienced reliability engineers desiring a refresher of these concepts.
What the Student will Learn
Students will gain an appreciation of the various quantitative reliability analysis techniques commonly utilized by reliability engineers. They will understand the practices that are appropriate to apply for different development situations as well as the basics of implementing the practices cost effectively.
Some familiarity with basic reliability engineering principles to maximize the benefit from this course will be helpful.
Attendees are requested to bring a scientific calculator or laptop computer to participate in class exercises. A laptop computer containing Microsoft Excel is recommended.
Mr. Wisniewski is a Senior Reliability Engineer at Quanterion Solutions and has more than 30 years’ experience in applying reliability, maintainability and safety engineering design, analysis, testing and screening methods and failure analysis and field support techniques on a variety of commercial products and military equipment/systems. Programs include radar, microwave/RF sensor systems, flight controls, mission computers, fixed and rotary winged full authority digital engine controls, regenerative liquid propellant guns, lightweight howitzers, and commercial and military hybrid electric vehicle drivetrain components. At Quanterion, he leads efforts to support government and industry customers in designing reliability/quality into products and systems, solve product reliability problems and identify corrective actions using techniques such as electrical stress analyses, Failure Mode and Effects Analysis, Root Cause Analysis, standard statistical analysis, and the collection, analysis and modeling of failure data.
To schedule an instructor-led in-person training course on this, e-mail us at email@example.com or call (877) 808-0097 (toll free), or (315) 732-0097.
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Copyright © 2003-2021 by Quanterion Solutions Incorporated. This training course was developed by Quanterion Solutions Incorporated. The training materials developed and provided in the presentation of this course (hardcopy and/or electronic) are for the sole use of the student attending the course. These materials are protected by U.S. Copyright Law and may not be copied, automated, resold or re-distributed to multiple users by the student (or his/her sponsoring organization) without the express written permission of Quanterion Solutions Incorporated. If copying, automating, reselling or re-distribution of this copyrighted material is desired, please contact 877.808.0097 (toll free) or 315.732.0097 for licensing information.
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