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Field Failure Data: The Good, The Bad & The Ugly


  March 17, 2010

exida Partners Dr William M Goble, CFSE and Joseph F Siebert, CSFE, have an article published at Industrial Automation.

Below is an excerpt:

Instrumentation & Measurement

Field Failure Data: The Good, The Bad & The Ugly

High quality data depends on accurate recording of enough information so that assumptions are minimised. By Dr William M Goble, CFSE and Joseph F Siebert, CSFE, Exida Consulting There are many benefits to a company when they have access to good field failure data. Most of the benefits are categorised as saving money. At the same time, most of the expenditure to get good failure data is already being spent. Given a small incremental cost of added data collection and better data analysis, the benefits could be achieved.

Good high quality field failure data has often been described as the ultimate source of failure data. However, not all field failure studies are high quality. Some field studies simply do not have the needed information. Some field studies make unrealistic assumptions. The results can be quite different depending on methods and assumptions. Some methods produce optimistic results that can result in bad designs and unsafe processes.

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