Built-in test design and optimization method based on dependency model

A design optimization method based on dependency model is proposed for Built-in test design in Prognostics and Health Management. Firstly, simplify the dependency model, eliminate the redundant test and merge the fuzzy fault model. Secondly identify the minimum test vector matrix to each fault mode. Under the principles of reliability and costs, determine the optimal test vector, which is used as the criterion of fault detection and isolation. Finally transfer the optimal test vector to embedded diagnosis program and download to the Built-in test. Example shows that the method can diagnose the faults with the lowest test costs and the least tests, and improve the level of fault diagnosis design.