Abstract: A method and apparatus for detecting problems in a rotating machine is disclosed. The method and apparatus include creating a definition of the rotating machine using a plurality of templates that specify components and functional characteristics of the components. In addition, the method and apparatus include identifying a plurality of sensors configured to provide operational data related to the rotating machine and defining a plurality of problem rules including logical expressions by which machine faults are deduced from specified portions of the operational data. Further, the method and apparatus include performing an analysis of operation of the rotating machine, the analysis including acquiring actual operational data from the plurality of sensors and applying the problem rules and templates to the operational data to detect faults in the rotating machine and in response thereto generating an indication when a fault is detected.

Abstract: A technique for detecting problems in a rotating machine is configured by the user specifying components and the functional characteristics of a particular installation of a rotating machine. The machine specification are used to identify salient observations that can be derived from measurement data regarding the machine performance. Rules are specified by the user to deduce machine signatures from the salient observations and detect problems evidenced by the machine signatures.

Abstract: A technique for detecting problems in a rotating machine is configured by the user specifying components and the functional characteristics of a particular installation of a rotating machine. The machine specification are used to identify salient observations that can be derived from measurement data regarding the machine performance. Rule are specified by the user to deduce machine signatures from the salient observations and detect problems evidenced by the machine signatures.

Abstract: The present invention provides a method, and associated system, for converting object oriented models into an actual operable database. The method and system automatically converts object oriented models into inputs that are compatible with a target product data manager platform. Errors are detected during the conversion process, thereby allowing the PDM designer to correct the errors before actual PDM platform implementation. The method and system of the present invention generate ancillary outputs that further enhance the usefulness of the method and system. Errors and inconsistencies between the object oriented model and the PDM platform can thus more easily be tracked, thereby enhancing the integrity of the resulting PDM database.

Abstract: An algorithm for transforming data base schema information to object modeling notation utilizes meta models of the data base tables and the target object modeling notation respectively to bridge the gap between the data base schema representation and the object model representation. Detection of associations between classes of objects is performed for one-to-one, one-to-many, and many-to-many associations by analyzing unique key attributes. Once an object meta model is populated, the underlying object model may be displayed using existing software packages.