![]() The initial inputs for the analysis include component information that can be found on the average bill of materials (BOM), component data sheets, and generic operating environments. Potentially the biggest limitation of relying on an MTBF analysis is that it does not directly account for many global assembly effects. MTBF Doesn’t Account for all Design Decisions What is worse is they can vary in both directions, both over- and under- predicting failures.Ģ. Studies have shown that the failure rates generated in these handbooks can vary widely, both from handbook to handbook - between MIL handbook and Telcordia - and from handbook to actual field failure data. ![]() One limitation of the handbook-based MTBF method is that it assumes that failures are random in nature and occur at a constant rate once the failure rate calculation is generated. However, assuming that failures are random and occur at a constant rate is not always accurate. Over- and Under-predicting Product Failure There are a number of limitations that arise when engineers rely only on the handbook-based MTBF method for reliability testing: 1. ![]() This data is compiled independently in different handbooks, such as the Telcordia SR-332 and the MIL-HDBK-217. MTBF uses an empirical failure rate calculation based on historical component data. MTBF stands for mean time between failure and predicts elapsed time between inherent failures of a mechanical or electronic system during normal system operations. ![]()
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