QUANTERION
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HDBK-217Plus™: 2015, Notice 1
Quanterion Solutions developed Notice 1 to the popular 217Plus™ Handbook of Reliability Prediction Models’ to supersede the 2015 edition developed in 2014. Available exclusively through Quanterion, 217Plus™:2015, Notice 1 replaces the original software reliability prediction model with the Neufelder Model for software reliability prediction contained in IEEE Standard 1633-2016 “IEEE Recommended Practice on Software Reliability”.
01/01/2017 - Download - Anglais -
En savoir plus232,00 € -
HDBK-217Plus™: 2015, Notice 1
Quanterion Solutions developed Notice 1 to the popular 217Plus™ Handbook of Reliability Prediction Models’ to supersede the 2015 edition developed in 2014. Available exclusively through Quanterion, 217Plus™:2015, Notice 1 replaces the original software reliability prediction model with the Neufelder Model for software reliability prediction contained in IEEE Standard 1633-2016 “IEEE Recommended Practice on Software Reliability”.
01/01/2017 - Papier - Anglais -
En savoir plus290,00 € -
De: 452,40 € -
Quanterion Automated Databook (NPRD-2016, FMD-2016, EPRD-2014)
Individual License (for installation on a single computer for use by one individual at any time).
01/01/2016 - Download - Anglais -
En savoir plus870,00 € -
Optimized Reliability Requirements and Cost Analysis (OR2CA)
Quanterion Solutions Incorporated has developed the Optimized Reliability Requirements and Cost Analysis (OR2CA) tool for one purpose: to present a methodology that develops contractual reliability requirements that are fully aligned with stated End-User Operational Reliability needs and expectations based on all of the categories of root failure cause that contribute to potential mission loss or degradation.
01/07/2015 - - -
En savoir plusDe: 104,40 € -
35,00 €
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217Plus Quanterion Solutions’ System Reliability Assessment Methodology
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
01/01/2015 - Download - Anglais -
En savoir plus114,84 € -
Effective Application of Software Failure Modes Effects Analysis & Software FMEA
Toolkit Bundle – 2nd Edition
This is a bundled package consisting of Effective Application of Software Failure Modes Effects Analysis – 2nd Edition & Software FMEA Toolkit.
01/01/2015 - Papier et CD-Rom - Anglais -
En savoir plus643,80 € -
75,00 €
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217Plus™: 2015, Notice 1 Spreadsheet Calculator
Quanterion's 217Plus™:2015, Notice 1 Reliability Prediction Calculator has been developed to facilitate the failure rate calculation of up to ten (10) hardware assemblies, and fifteen (15) software assemblies, according to the component and system reliability models defined by Quanterion's 217Plus™:2015, Notice 1 methodology. All models are detailed in the 2015, Notice 1 version of the “Handbook of 217Plus Reliability Prediction Models” (HDBK-217Plus™:2015, Notice 1).
01/01/2015 - Fichier excel - Anglais -
En savoir plus580,00 € -
81,20 €
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Achieving System Reliability Growth Through Robust Design and Test
This book offers new definitions of how failures can be characterized, and how those new definitions can be used to develop metrics that will quantify how effective a Design for Reliability (DFR) process is in (1) identifying failure modes and (2) mitigating their root failure causes. Reliability growth can only occur in the presence of both elements.
08/10/2014 - PDF - Anglais -
En savoir plus104,40 € -
46,40 € -
Reliability Demonstration Testing
There are many forms of reliability testing that may be applied at the component, assembly, product, equipment and/or system level. Some are intended to find design problems so that they can be fixed (accelerated tests, test, analyze and fix (TAAF) or reliability growth testing (RGT)). Others are intended to find manufacturing defects and repair them prior to shipping the item (environmental stress screening (ESS) or highly accelerated stress screening (HASS)). Reliability demonstration/qualification tests are a subset of a larger group, collectively known as compliance tests. In general, the purpose of compliance tests is to demonstrate, often statistically, that a specific item performance parameter is in compliance with a requirement. Reliability compliance tests like RDT/RQT focus on reliability parameters such as MTBF, meantime- to-failure (MTTF), failure rate (failure intensity), or probability of failure.
02/10/2014 - PDF - Anglais -
En savoir plus11,60 € -
11,60 €
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539,40 € -
11,60 € -
11,60 €
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11,60 €
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139,20 € -
11,60 €
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11,60 €
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11,60 €
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Weibull Analysis
The statistical analysis of an item’s failure data is widely regarded as one of the most accurate techniques for assessing its reliability in a specific application or environment. Though there are many different statistical distributions (e.g., exponential, lognormal, etc.), the Weibull distribution is especially useful because of its ability to characterize a wide range of potential data trends. More specifically, it can be fit to a dataset exhibiting an increasing, constant or decreasing failure rate, a unique feature that separates the Weibull distribution from its counterparts. This feature also allows the Weibull distribution to mimic other statistical distributions, and is the reason why it is often used as a first approximation for fitting a collection of failure data.
23/07/2013 - PDF - Anglais -
En savoir plus11,60 € -
11,60 €
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11,60 € -
Designing, Manufacturing and Supporting Affordable Products
In today’s marketplace, customer expectations for safe, reliable products with new and enhanced features, all at very affordable prices, presents some serious challenges to system engineers and manufacturers. In addition, customers have an expectation that the products they purchase will be economical to own and operate over time. This is especially true in the automotive industry, as numerous vehicle comparison websites are now utilizing cost per mile of operation as a primary comparison metric. These metric calculations are based on the total cost of ownership for the vehicle (e.g., purchase price, insurance, maintenance, fuel consumption, etc.) and, as such, require system engineers and manufacturers to consider all aspects of product performance from the initial design and production phases to the end of the product’s useful life.
23/07/2013 - PDF - Anglais -
En savoir plus11,60 € -
11,60 €
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Reliability Modeling - The RIAC Guide to Reliability Prediction, Assessmentand Estimation
Reliability Modeling - The Quanterion Guide to Reliability Prediction, Assessment and Estimation
15/03/2013 - Papier - Anglais -
En savoir plus116,00 € -
46,40 €
