초록 ▼

An intelligent analysis apparatus and method for fluid filled electrical equipment includes sensors for measuring various parameters of the electrical equipment. Analytical models calculate parameters based on measurements of other parameters. The measured and calculated parameters are compared and

An intelligent analysis apparatus and method for fluid filled electrical equipment includes sensors for measuring various parameters of the electrical equipment. Analytical models calculate parameters based on measurements of other parameters. The measured and calculated parameters are compared and the result of the comparison is used as an indicator in a causal network. The probabilities of the causal network are recalculated by a belief network. The analytical models are adjusted over time to account for acceptable changes in behavior of the equipment over time. The output of the causal network can be used for diagnostic and prognostic indication.

대표청구항 ▼

1. An intelligent analysis apparatus for fluid-filled electrical equipment of the type having components surrounded by fluid, said apparatus comprising:plural sensors adapted to be coupled to electrical equipment having a containment vessel configured to contain a fluid and at least one electrical c

1. An intelligent analysis apparatus for fluid-filled electrical equipment of the type having components surrounded by fluid, said apparatus comprising:plural sensors adapted to be coupled to electrical equipment having a containment vessel configured to contain a fluid and at least one electrical component disposed in said containment vessel, said sensors being configured to output signals indicative of plural operating parameters of said electrical equipment; and a diagnostic device coupled to said sensors, said diagnostic device having a processor operative to determine operating characteristics of the electrical equipment based on at least one analytical model of the electrical equipment and the signals outputted by said sensors by applying values of parameters calculated by the at least one analytical model and values of parameters as indicated by the signals of said sensors in a causal network, wherein said diagnostic device compares a parameter calculated by the at least one analytical model with a corresponding measured parameter and uses a result of the comparison as an indicator in the causal network, and further wherein probabilities of the causal network are updated based on the probability of the indicators obtained from the analytical model or sensed parameters; and still further wherein the variables of the at least one analytical model are adjusted over time in correspondence to acceptable behavioral changes of the electrical equipment over time.