Sensitivity analysis of availability estimates to input data characterization using design of experiments

✍ Scribed by Darren P. Durkee; Edward A. Pohl; Edward F. Mykytka

• Publisher: John Wiley and Sons
• Year: 1998
• Tongue: English
• Weight: 102 KB
• Volume: 14
• Category: Article
• ISSN: 0748-8017
• DOI: 10.1002/(sici)1099-1638(199809/10)14:5<311::aid-qre156>3.0.co;2-h

✦ Synopsis

Reliability analysts are often faced with the challenge of characterizing the behaviour of system components based on limited data. The purpose of this study is to provide insight into which availability model input data are most significant and how many data are necessary to achieve desired accuracy requirements. The overall goal is to improve the efficiency and cost-effectiveness of the data collection and data characterization processes. A 2 5-1 V factorial designed experiment was conducted to determine which of five input data characterization factors (for a simple series-parallel structure) may significantly affect availability model accuracy. The results from this experiment show that in this instance the factors under study do not have a significant effect on model output accuracy. Additional research is planned to more closely scrutinize the effects of these factors.