Determining component failure rates using accelerated life data

A computer implemented method for determining failure rate of a component from accelerated life data, wherein a computer is configured for implementing the computer implemented method comprising:

• determining, with a computer, the type of statistical distribution of an accelerated life data set, and if the distribution is an unbounded distribution;
• and
• determining, with a computer, the failure rate of the component by re-sampling the accelerated life data of the component;
• wherein re-sampling the accelerated life data of the component further comprises:
• subdividing, with a computer, the accelerated life data into a plurality of sub datasets;
• selecting, with a computer, the maximum accelerated life data point from each sub dataset, wherein the selected maximums form a maximum dataset;
• and
• fitting, with a computer, the maximum dataset to a Largest Extreme Value distribution.

A computer program product comprising a non-transitory computer usable medium having computer program logic recorded thereon for enabling a processor to determine the failure rate of a component, wherein the computer program logic when executed by the processor causes a computer to:

• determine the type of statistical distribution of an accelerated life data set, and if the distribution is an unbounded distribution;
• and
• determine the failure rate of the component by re-sampling the accelerated life data of the component;
• wherein upon the computer program logic for re-sampling the accelerated life data of the component is executed by the processor further causes a computer to:
• subdivide the accelerated life data into a plurality of sub datasets;
• select the maximum accelerated life data point from each sub dataset, wherein the selected maximums form a maximum dataset;
• and
• fit the maximum dataset to a Largest Extreme Value distribution.