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Updated on 6/11/2019
Relyence User Guide
Reliability Prediction
Direct link to topic in this publication:

Reliability Prediction

A Reliability Prediction is a way to analyze an electro-mechanical system of any kind to determine its failure rate and expected MTBF (Mean Time Between Failures).  Failure Rate and MTBF are common indicators of product reliability and quality.

Failure Rate (commonly designated as λ) is typically expressed in terms of failures/million hours or failures/billion hours. MTBF is the inverse of failure rate (1/λ) and is expressed in terms of hours. In very general terms, MTBF is the number of hours the given unit will operate on average before a failure occurs.

Reliability Predictions use accepted standards to compute failure rate and/or MTBF. Widely used standards for reliability prediction include MIL-HDBK-217, Telcordia, 217Plus, and GJB/z 299.

Relyence Reliability Prediction provides a framework for you to perform your Reliability Prediction analyses. For a general overview of the process for performing reliability predictions, please review the Introduction to Reliability Predictions topic. For a quick start, follow through the Getting Started with Relyence Reliability Prediction topic. For general information about performing a reliability prediction with Relyence, review Relyence Reliability Prediction Basics. When you are ready to explore the more advanced capabilities, refer to Relyence Reliability Prediction Advanced Features.