Abstract: A method and system for performing model-based multi-objective asset optimization and decision-making is provided. The method includes building at least two predictive models for an asset. The building includes categorizing operational historical data via at least one of: controllable variables, uncontrollable variables, output objectives, and constraints. The building also includes selecting at least two output objectives or constraints, and identifying at least one controllable or uncontrollable variable suitable for achieving the at least two output objectives or constraints. The method also includes validating each predictive model and performing multi-objective optimization using the predictive models. The multi-objective optimization includes specifying search constraints and applying a multi-objective optimization algorithm. The method further includes generating a Pareto Frontier, and selecting a Pareto optimal input-output vector.

Abstract: A method and system are disclosed for enabling training of field service personnel such as field engineers and field service of machines such as medical diagnostic machines, e.g., CT, MRI, and x-ray machines. The system is desirably implemented over the Internet in which field service personnel using handheld computers are able to selectively search cataloged items relating to reference materials such as portions of product installation manuals, service manuals, field modification information or updates, training manuals, safety information, design diagrams, parts lists, etc., and retrieve copies of the relevant portions of the reference materials. The reference materials are cataloged and searchable using, for example, data relating to a product type and model, a skill level, a service task, and an authorization level.

Abstract: The present invention discloses an error log analysis system comprising a diagnostic unit and a training unit. The training unit includes a plurality of historical error logs generated during abnormal operation or failure from a plurality of machines, and the actual fixes (repair solutions) associated with the abnormal events or failures. A block finding unit identifies sections of each error log that are in common with sections of other historical error logs. The common sections are then labelled as blocks. Each block is then weighted with a numerical value that is indicative of its value in diagnosing a fault. In the diagnostic unit, new error logs associated with a device failure or abnormal operation are received and compared against the blocks of the historical error logs stored in the training unit.

Abstract: The present invention, in one embodiment, is a method for identifying highly suspect components in fault isolation. The method for identifying highly suspect components of a system wherein faulty operation has been indicated, respective components of the system generating respective error codes upon occurrence of faulty operation, includes the steps of identifying loops/strings of components, each loop/string being composed of at least one component which generated an error code, determining whether any of the loops/strings have common components, and identifying any of the common components as highly suspect components.

Abstract: One form of the present invention is a method for identifying interrelations of a plurality of modules. The method includes the steps of identifying one of the plurality of modules as a start module; assigning the start module a link code for a calling module; creating a first entry listing the link code; searching the calling module for a load/call command; designating a module referenced by a load/call command as a called module; creating link code for the called module; and creating an entry listing the link code and the called module.

Abstract: The present invention, in one embodiment, is a method for identifying a test to perform for fault isolation. The method comprises the steps of identifying a loop/string of components having at least one component therein which is suspected of faulty operation, identifying a test, from a listing of tests, which satisfies pre-determined conditions, and selecting the identified test for performance.

Abstract: The present invention, in one embodiment, is a method for representing component connectivity of components which compose a system. The method comprises the steps of creating a diagram composed of blocks representing components of the system, representing connectivity of the components on the diagram, selected a first start component, assigning a first label to the start component, identifying respective children components of the start component, assigning the respective children components of start component respective labels, the respective labels being unique for each component and representing the component connectivity, selecting another start component if any components in the diagram are unlabelled, and then repeating the above steps for the second start component. The process is repeated until the components and component connectivity are represented in a respective label. The assigned component labels are then stored.

Abstract: A process for the energy efficient conduct of a multi-stage water gas shift reaction includes furnishing a carbon monoxide-containing feed gas stream at an inlet temperature of at least 600.degree. F. and water to a high-temperature shift reactor stage to produce a carbon dioxide and hydrogen enriched exhaust gas stream and introducing the exhaust gas stream to a low-temperature shift reactor stage at an inlet temperature of about 300.degree.-500.degree. F. to produce a product gas stream further enriched in carbon dioxide and hydrogen. A heat exchange fluid is passed in heat exchange relationship with at least the feed and exhaust gas streams to recover thermal energy therefrom by concurrently cooling the gas streams and heating the heat exchange fluid.