Abstract: A partition support assembly for a canister assembly generally includes at least one inner support ring configured to support one or more partitions for dividing the interior of the canister assembly for packaging contents to be received within the canister assembly, wherein the one or more partitions are configurable in a plurality of packaging orientations. A canister assembly and a method for containing packaging contents are also provided.

Abstract: A system and method for determining life of a rechargeable battery. Data representing relationship between lasting time of the battery and equivalent number of life cycles of the battery is provided; lasting time of the battery in charging is obtained; and the life of the battery is determined utilizing the obtained lasting time and the data provided.

Abstract: A rack assembly for nuclear fuel assemblies generally includes a frame assembly and a container assembly including a plurality of individual fuel containers designed to contain individual fuel assemblies, wherein the individual fuel containers are received within and supported by the frame assembly. The rack assembly further includes a shielding assembly including at least one of an inner shielding assembly comprising a substantially continuous shield between the individual fuel containers and an outer shielding assembly comprising a substantially continuous shield around at least a portion of the outer surfaces of the rack assembly. A rack storage system generally includes a plurality of rack assemblies.

Abstract: Power industry boiler tube failures are a major cause of utility forced outages in the United States, with approximately 41,000 tube failures occurring every year at a cost of $5 billion a year. Accordingly, early tube leak detection and isolation is highly desirable. Early detection allows scheduling of a repair rather than suffering a forced outage, and significantly increases the chance of preventing damage to adjacent tubes. The instant detection scheme starts with identification of boiler tube leak process variables which are divided into universal sensitive variables, local leak sensitive variables, group leak sensitive variables, and subgroup leak sensitive variables, and which may be automatically be obtained using a data driven approach and a leak sensitivity function. One embodiment uses artificial neural networks (ANN) to learn the map between appropriate leak sensitive variables and the leak behavior.