Proven in Use (What's the Quality of Your Data)

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To perform LOPA's, fault tree analysis, SIL verifications and other quantitative likelihood analyses requires data. As much as everyone wants data, it always seems to be elusive or lacking in quality. This paper explores various issues that the authors have experienced when dealing with end user data, manufacturer's data and data estimated as part of equipment certification in accordance with IEC-61508.

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