Building a Database for a Quantitative Model

A database can greatly benefit a quantitative analysis. The defining characteristic of a quantitative risk, or reliability, model is the use of failure estimate data. Models can easily contain a thousand Basic Events, relying on hundreds of individual data sources. Obviously, entering so much data by hand will eventually lead to errors. Not so obviously entering data this way does not aid linking the Basic Events to the data sources. The best way to organize large amounts of data on a computer is with a database. But a model does not require a large, enterprise-level database with dedicated developers and administrators. A database built in Excel can be quite sufficient. A simple spreadsheet database can link every Basic Event to the individual data source selected for them. This database can also contain the manipulations appropriate for how the data is used in the model. These manipulations include stressing factors based on use and maintenance cycles, dormancy, unique failure modes, the modeling of multiple items as a single "Super component" Basic Event, and Bayesian Updating based on flight and testing experience. A simple, unique metadata field in both the model and database provides a link from any Basic Event in the model to its data source and all relevant calculations. The credibility for the entire model often rests on the credibility and traceability of the data

The State of Personnel Preparation: Secondary Transition

Presentation at the CEC Division on Career Development and Transition (DCDT) Annual Conference

Data Used in Quantified Reliability Models

Data is the crux to developing quantitative risk and reliability models, without the data there is no quantification. The means to find and identify reliability data or failure numbers to quantify fault tree models during conceptual and design phases is often the quagmire that precludes early decision makers consideration of potential risk drivers that will influence design. The analyst tasked with addressing a system or product reliability depends on the availability of data. But, where is does that data come from and what does it really apply to? Commercial industries, government agencies, and other international sources might have available data similar to what you are looking for. In general, internal and external technical reports and data based on similar and dissimilar equipment is often the first and only place checked. A common philosophy is "I have a number - that is good enough". But, is it? Have you ever considered the difference in reported data from various federal datasets and technical reports when compared to similar sources from national and/or international datasets? Just how well does your data compare? Understanding how the reported data was derived, and interpreting the information and details associated with the data is as important as the data itself

EuPA achieves visibility – an activity report on the first three years

Abstract in UndeterminedPlans for the European Proteomics Association (EuPA) were conceived and established during 2004 and 2005, and culminated in the formal inception of the Organisation during the 4th HUPO World Congress held in Munich in 2005. The mission from the outset has been three-tiered and is to: i) strengthen the national Proteomics organizations in their efforts; ii) to co-ordinate and provide educational programs, and iii) to advance the networking of scientists through meetings, workshops and student exchange. Linked to the mission were objectives to emphasise the benefits and contributions of Proteomics to biological and industrial researchers, the general public and science policy makers in Europe. in addition, the EuPA set out to promote scientific exchange for all applications and technology development related to Proteomics, and coordinate joint activities of national Proteomics societies at the European level. To achieve these tasks an organisational. structure was conceived whereby four Activity Committees (Conferences/Communications, Education, EuPA-HUPO-Interactions and Funding) were implemented and a General Council consisting of all member countries. The remarkable rise and progress the EuPA has achieved in this small time frame is reported here