Reliability 301: RAM Modeling I
Sign up for our most requested course: Reliability 301: RAM Modeling I, which will be hosted Nov. 14-16, 2023 in Orlando, FL!
Reliability, Availability, and Maintainability (RAM) modeling uses a mathematical process to statistically predict the time-to-failure of a product or system. This technique can result in far-reaching cost savings and labor reduction by empowering a manufacturing or engineering company to efficiently allocate resources and make future-thinking, predictive decisions in new designs.
This three-day course will instruct engineers on how to establish a reliability modeling program at their company. Topics covered include Reliability Block Diagrams (RBD), reliability target allocation, prediction modeling, introduction to growth models, Failure Modes and Effects (and Criticality) Analysis (FMEA/FMECA), and others. Register now for Reliability 301: RAM Modeling I.
Quanterion’s Reliability, Availability Maintainability (RAM) Modeling training is broken up into two different 3-day courses. Part 1 addresses the mathematics of the fundamental modeling approaches while Part 2 takes a more in-depth look at the application of specific modeling techniques and how they can be used to estimate and improve a system’s availability.
The second two-day course in this training series extends upon the basic principles presented in Part I of the RAM Modeling course to cover complex modeling techniques, with an emphasis on maintainability modeling, and practical applications of these tools and analyses.
Reliability Modeling is the important process whereby designers describe the structure of the proposed design and use structure (and math model) to allocate reliability goals to individual elements and to continuously track the progress toward meeting the objective(s). This module introduces the basics of reliability modeling and while the exponential model is used in many of the examples, the conversation is kept broad enough to incorporate the use of other reliability distributions. Some of the concepts discussed include:
- Probability Basics
- Reliability Block Modeling
- Simple Monte Carlo Methods
- Introduction to State Based Models
Publications and Tools
217Plus™:2015, Notice 1 is the latest revision to the popular 217Plus™ Handbook of Reliability Prediction Models based on the original MIL-HDBK-217, Reliability Prediction of Electronic Equipment. Available exclusively through Quanterion, 217Plus™:2015, Notice 1 replaces the original software reliability prediction model with the Neufelder Model for software reliability prediction.
Quanterion is now offering a bundle discount of 15% off two of its most popular products, the 217Plus™: 2015, Notice 1 Spreadsheet Calculator and the Handbook-217Plus™: 2015, Notice 1. Combined, these two products minimize the time and cost of performing customized, relevant and quantitative reliability prediction analyses as part of a key quality and reliability development program.
The intent of this book is to provide guidance on modeling techniques that can be used to quantify the reliability of a product or system. In this context, reliability modeling is the process of constructing a mathematical model that is used to estimate the reliability characteristics of a product.
While the benefits of the design for reliability (DFR) process are well understood in the engineering community, the application of these techniques becomes quite difficult as modern systems continue to evolve into increasingly complex designs. One of the most effective means of overcoming these challenges is the use of system modeling techniques. Such models simplify many of the design analyses by allowing analysts to address smaller, more manageable collections of parts and assemblies, as opposed to considering the entire system as a whole.
Reliability Modeling and Prediction Articles
A reliability model represents a clear picture of your product’s functional interdependencies providing a means to trade-off design alternatives and to identify areas for design improvement. The models are also helpful in:
- Identifying of critical items and single points of failure
- Allocating reliability goals to portions of the design
- Providing a framework for comparing estimated reliability to product goals
- Trading-off alternative fault tolerance approaches
To learn more about reliability modeling and prediction, visit Quanterion Solutions’ associated Reliability Engineering Term: Reliability Modeling and Prediction page.
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