AN IMPROVED METHOD AND SYSTEM FOR PREDICTING STEADY STATE CONDITIONS OF A PRODUCT FROM TRANSIENT MONOTONIC OR CYCLIC DATA

摘要

The steady state condition of a subject product is projected using transient data which represents monotonic or cyclic property states (110) developed through actual or simulated tests or operations. A first (130) and second (140) property state value corresponding to the transient data for selected times within the test period are identified (150). A first and second rate-of-change values (160) corresponding to the change in the property states at the selected times are then computed. A time constant value (170) is next computed by applying the time interval and the first and the second rate-of-change values (160) to a time constant function. A projected steady state condition value (180) is next computed by applying the second rate-of-change value (160), the second state value (180) and the time constant value (170) to a projected steady state conditions function (180). The projected steady state condition value is compared with a previously computed projected value (200). The difference between these two steady state condition values is then compared with a threshold value (210) to determine if a satisfactory projection of the steady state condition has been obtained (220).