Abstract: Methods and systems for solving a target value search problem using a multi-interval heuristic are presented. The methods and system identity a path, or paths, in a graph, whereby a connection graph is created and range sets are generated for each vertex in the connection graph. Range sets include one or more intervals. Thereafter, a best search is performed to identify a path, or paths, from a starting vertex to a goal vertex having a path value closest to a target value.

Abstract: A computer based method and system for tiered inference multiple fault diagnosis is provided. The method includes using a computer processor to dissect a hypothesis space representing a production system having a plurality of production modules into tiers. Production modules in the current tier are partitioned into a group or a set of sub-groups. A fault diagnosis algorithm is applied to the group of each sub-group to identify an acceptable fault diagnosis. When no acceptable fault diagnosis is found, the process moves to the next tier to perform further investigations. The process continues to move to higher tiers until an acceptable fault diagnosis is obtained or the system instructs the process to end.

Abstract: Diagnostic systems and methods are presented for determining the current condition of a production plant and the resources thereof, in which successively more complex diagnostic abstractions are used to determine the plant condition, with a more complex abstraction being selected when the most recently selected diagnostic abstraction is logically inconsistent with the current fault status indications.

Abstract: Target value search methods and systems are presented for solving a target value path problem to identify a path or paths in a graph in which a connection graph is created and upper and lower bound values are determined for each node in the connection graph, and a first best search is performed to identify a path or paths from a starting node to a goal node having a path value closest to the target value.

Abstract: Production control systems and methods are presented for estimation of production resource failure probabilities in which a set of four count values are maintained and updated for each resource including a first count value m11 indicating a number of plans where the resource m was used and failed, a second count value m10 indicating a number of plans where the resource m was used and succeeded, a third count value m01 indicating a number of plans where the resource m was not used and failed, and a fourth count value m00 indicating a number of plans where the resource m was not used and succeeded, and the current fault probability for each resource is estimated and stored for single or multiple, persistent or intermittent faults based on the corresponding count values.

Abstract: Systems and methods are presented for constructing production plans to achieve one or more production goals, in which a diagnosis engine determines the production plant condition based on a previously executed plan, observations from the plant, and a plant model, and formulates a heuristic based on a diagnostic objective, and with a planner to performing a partial-plan search using the heuristic to construct the plans that will concurrently achieve at least one production goal and facilitate the diagnostic objective.

Abstract: Model-based production control systems and methods are presented for constructing plans for controlling operation of a production system with a plant having a plurality of resources to achieve one or more production goals, in which a planner constructs plans for execution in the plant based on production goals while balancing both production objectives (e.g., production cost, production time) and diagnostic objectives (e.g., diagnostic cost, information gained, repair cost), and a diagnosis engine determines a current plant condition based on a previously executed plan and corresponding observations from the plant, and provides expected information gain data to the planner, with the planner generating a plan that will achieve a given production goal and is improved for one or more diagnostic objectives and the expected information gain data.