Research on health management of automatic test equipment

Automatic test equipment (ATE) is the facility to assure aircraft and weapon in well health state, thus, the health state of ATE itself is of vital significance. The connotation of health for ATE is the operation state with both correct function and satisfactory performance at the same time. To realize health management of ATE, the self-test and calibration method is introduced. High light is focused on ATE calibration interval prediction. To predict calibration intervals, a health state modeling and prognostic method was proposed based on Weibull distribution, which can provide an accurate prediction even with small samples. Moreover, cost was considered to optimize calibration intervals. An example of optimizing the calibration schedule of digital multimeter Agilent E1412A is given, which shows that this method is advanced and feasible. At last, an ATE health management implementation was introduced, which includes the traceability of ATE modules and the software architecture. Implementation shows that this method is feasible.