QSI's 217Plus™ video training program is designed to introduce reliability engineers to the Reliability Information Analysis Center (RIAC) software implementation of the 217Plus™ methodology for system reliability assessment. The 217Plus™ methodology was developed by Quanterion Solutions, and represents the latest approach being used by the government and industry as an alternative to MIL-HDBK-217F Notice 2 "Reliability Prediction of Electronic Equipment", which has not been updated since 1995.
The component failure rate models of 217Plus™ are not simply updated MIL-HDBK-217 models; they are more accurate because they account for the impact of environmental operating, nonoperating and cycling, stresses on reliability. The RIAC 217Plus™ software tool also includes the RIAC Nonelectronic Part Reliability Data (NPRD) and Electronic Part Reliability Data (EPRD) databases to account for non-modeled components. The Process Grade Factors (PGFs) and software reliability prediction model within 217Plus™ account for the effects of all non-inherent root failure cause catergories not covered by MIL-HDBK-217 and its progeny on overall system reliability. The methodology also allows users to combine its models with their own test/field experience data using a basic Bayesian-type approach.
This video runs approximately 2 hours and 46 minutes and covers the following topics:
- A history and overview of the 217Plus™ methodology
- A review and explanation of terms, and component and system models used in 217Plus™ analysis
- How to navigate the RIAC 217Plus™ software tool
- How to build and configure systems, input environmental data, and generate/interpret a variety of useful reports
- A detailed explanation of the Process Grade Factors and a discussion of their application
- How to import an existing Bill of Material (BOM) or system configuration
217Plus™ Quanterion Solutions' System Reliability Assessment Methodology Run Time: 2 hours 46 minutes
This video is designed to introduce reliability engineers to the Reliability Information Analysis Center (RIAC) software implementation of the 217Plus™ methodology for system reliability assessment. Topics include:
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Quanterion offers a series of online video training short courses called Introduction to Reliability Engineering. The online video series aims to take some of the mystery out of common reliability terms, tools, techniques, and approaches. The series draws from Quanterion's popular in-person Introduction to Reliability training course "Reliability 101" that has been presented world-wide for more than ten years.
The series covers several sets of topics in Reliability, seven having approximately a 1.5 hours of instructor narrated video, plus one more extensive topic, "Reliability Centered Maintenance," which has 3.5 hours of content. The complete set of eight videos contains nearly 15 hours of instruction. A convenient navigation menu provides a means of repeating sections or skipping over previously viewed sections.
These videos are offered as a single seat subscription for unlimited viewing by a single user over a three-month period (six-months for the complete set of eight videos) and can be viewed on any browser-enabled device.
Click on the image on the right to view the introduction to the series.
Reliability Terms and Distributions Run Time: 1 hour 37 minutes
This module focuses on introducing the most common terms and probability distributions used in Reliability Engineering. The module lays the foundation for the other topics in the series by including:
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Basic Reliability Modeling Run Time: 1 hour 26 minutes
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:
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Reliability Prediction Run Time: 1 hour 42 minutes
Reliability Prediction is the practice of estimating the product or system reliability for the purpose of tracking the progress toward meeting reliability objectives; the practice is useful in identifying areas that require improvement. This module covers both "empirical" handbook methods and "deterministic" physics of failure approaches to reliability prediction. Several common prediction data sources are reviewed and the differences between several of the models are also discussed. The topics include:
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Failure Mode Effect Criticality Analysis (FMECA) and Fault Tree Analysis (FTA) Run Time: 1 hour 49 minutes FMECAs and FTAs are popular methods for determining the impact of failures on the product or system. This module focuses on these two popular approaches to system logic analysis. The discussion will begin with a discussion of the MIL-STD-1629 approach and then introduce the commercial IEC and SAE approaches to design FMECA's. The FTA section focuses on the most popular basic symbols and high level prioritization techniques. The topics include:
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Basic Reliability Testing Run Time: 1 hour 51 minutes
Reliability Testing is an important activity in an overall reliability program approach that can serve a variety of purposes. This module discusses the several test approaches common in reliability engineering that can have different objectives. Benefits and common pitfalls are discussed for each. Reliability Growth Testing is not covered as it is discussed in a module of its own. Topics include:
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Introduction to Reliability Growth Run Time: 1 hour 21 minutes
Reliability Growth is the use of various activities to eliminate failure modes for a design, often in the past considered limited to Reliability Growth Testing. This module aims at introducing the student to the concept of reliability growth going beyond testing. It seeks to explain which reliability practices contribute to reliability growth and which do not. It discusses reliability growth opportunities throughout the product lifecycle, and common reliability growth test models are also introduced. The topics include:
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Life Data Trend and Weibull Analysis Run Time: 1 hour 27 minutes
Reliability Analysis is a necessary means of using failure data to understand trends so that reliability can be improved to more effectively meet warranty budgets, mission readiness, and support cost limitations. This module is aimed at helping the student understand the limitations of various data sources, and the tools to determine if there are trends in their data that can be identified for corrective action. The topics include:
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Reliability Centered Maintenance Run Time: 3 hour 36 minutes
Reliability-Centered Maintenance (RCM) is the practice of using the reliability characteristics of a product or system to optimize its maintenance plan. This module provides a detailed guide on the steps involved in most RCM programs. The course steps the user through the classical RCM process beginning from RCM preparation to sustainment activities. The topics include:
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