Abstract: A method is disclosed for partitioning an input polytope into a conformal set of polytopes according to a subdivision pattern specified on lower-dimensional boundaries of the input polytope. A feature of this method is that it is applicable to any dimension. For input polytopes that are hexahedra isomorphic to a 3-dimensional cube, all members of the conforming partition will be hexahedra isomorphic to a 3-dimensional cube. A further feature of the invention is that it preserves convexity; a convex input polytope will result in a conformal partition comprising convex polytopes. Finally, the method may be used to process large conformal meshes of input polytopes in parallel and produce a globally conformal partition without the requirement of communication between processes.

Abstract: A system and method of monitoring and analyzing a plurality of attributes for an alarm condition is disclosed. The attributes are processed and/or unprocessed values of sensed conditions of a collection of a statistically significant number of statistically similar components subjected to varying environmental conditions. The attribute values are used to compute the normal behaviors of some of the attributes and also used to infer parameters of a set of models. Relative probabilities of some attribute values are then computed and used along with the set of models to determine whether an alarm condition is met. The alarm conditions are used to prevent or reduce the impact of impending failure.

Abstract: A system and method of monitoring and analyzing a plurality of attributes for an alarm condition is disclosed. The attributes are processed and/or unprocessed values of sensed conditions of a collection of a statistically significant number of statistically similar components subjected to varying environmental conditions. The attribute values are used to compute the normal behaviors of some of the attributes and also used to infer parameters of a set of models. Relative probabilities of some attribute values are then computed and used along with the set of models to determine whether an alarm condition is met. The alarm conditions are used to prevent or reduce the impact of impending failure.

Abstract: A system and method of monitoring and analyzing a plurality of attributes for an alarm condition is disclosed. The attributes are processed and/or unprocessed values of sensed conditions of a collection of a statistically significant number of statistically similar components subjected to varying environmental conditions. The attribute values are used to compute the normal behaviors of some of the attributes and also used to infer parameters of a set of models. Relative probabilities of some attribute values are then computed and used along with the set of models to determine whether an alarm condition is met. The alarm conditions are used to prevent or reduce the impact of impending failure.

Abstract: A method is disclosed for partitioning an input polytope into a conformal set of polytopes according to a subdivision pattern specified on lower-dimensional boundaries of the input polytope. A feature of this method is that it is applicable to any dimension. For input polytopes that are hexahedra isomorphic to a 3-dimensional cube, all members of the conforming partition will be hexahedra isomorphic to a 3-dimensional cube. A further feature of the invention is that it preserves convexity; a convex input polytope will result in a conformal partition comprising convex polytopes. Finally, the method may be used to process large conformal meshes of input polytopes in parallel and produce a globally conformal partition without the requirement of communication between processes.