Since the founding of IWO, reliability statistics is one of the core subjects. The focus started on characterizing data from breakdown tests and early failures in electrical grids. Issues were the bias and variance of estimated Weibull parameters and how that can influence decision-making. To date, the scope has widened to data analytics for mixed populations, competing failure mechanisms, incomplete data sets, accelerated aging, maintained systems and reparable systems. Digital twinning and evaluation of the similarity between theoretical and observed failure behavior are also studied. Estimation of the number, probability and times of future failures from presently observed failures is the main challenge for the IWO Reliability Statistics department.
Projects with this theme:
This spreadsheet is the result of statistical studies by IWO (Ede, NL). It is a tool to analyze failure (and survival) data and support decision-making…
iRel40 will strengthen the industrial competitiveness of electronic components and systems for transport and mobility, digital industry and energy application by reliability along the value…
A future proof electrical infrastructure asset management model based on data driven maintenance methods and strategies IWO contribution: Predictive Health Index and resilience; main focus:…
Providing next-generation silicon-based power solutions in transport and machinery for significant decarbonisation in the next decade IWO contribution: Systematic product develeopment of power electronics focussing…
Supernet NL designs an HTS cable system for the Dutch Transmission Grid and demonstrates its integrability, reliability and monitoring capabilities. IWO contribution: Expertise on HTS…
