Loading patent…
AssigneeGeneral Motors Corporation
InventorsAtul Bajpai, Richard W. Marczewski, Melissa M. Marek, Anil B. Shrivastava, Charles S. Amble, Robert H. Joyce, Nanda Kishore, Steven J. Ollanik
Estimating the term…
A general purpose expert system architecture for diagnosing faults in any one of a plurality of machines includes a machine information database containing information on characteristics of various components of the machines to be diagnosed and a sensory input database which contains vibration data taken at predetermined locations on each of the machines. The system knowledge base contains a plurality of general rules that are applicable to each of the plurality of machines. The generality of diagnosis is accomplished by focusing on components that make up the machine rather than individual machines as a whole. The system architecture also permits diagnosis of machines based on other parameters such as amperage, torques, displacement and its derivatives, forces, pressures and temperatures. The system includes an inference engine which links the rules in a backward chaining structure.
A general purpose expert system architecture for diagnosing component faults in any one of a plurality of machines, comprising a machine information database containing information on physical characteristics of various components of at least one of said plurality of machines, a sensory input database containing sensory data taken at predetermined locations on at least one of said plurality of machines, a knowledge base containing a plurality of general rules that are applicable to all components of interest in the plurality of machines without reference to any specific machine, and an inference engine which manipulates the rules to enable the system to identify faults based on data from said sensory database and information from said machine information database.
A general purpose diagnostic expert system architecture for diagnosing faults in any one of a plurality of machines, comprising a machine information database (MID) containing physical characteristics of various components of each of said plurality of machines, a sensory input database (SID) containing sensory data taken at predetermined locations on each one of said plurality of machines, and a knowledge base (KB) containing a plurality of general rules that are applicable to all of said plurality of machines and which are based on machine component performance, said system further including an inference engine which manipulates the rules, said system responding to operator identification of a specific machine to act on information obtained from the MID and the SID that relates to said specific machine in order to render a fault diagnosis.
An automated method of diagnosing potential and existing faults on a plurality of machine each of which have a plurality of components, using an expert system having a knowledge engineering tool, and a knowledge base containing a plurality of general rules that are applicable to all components of interest in the plurality of machines without reference to any specific machine, said knowledge base having a fact base, and a rule base containing a plurality of rules each of which have as a premise, test conditions which when satisfied will conclude on a component fault or will conclude on another test condition which then becomes the premise for one or more other rules, comprising the step of:
An automated method of diagnosing potential and existing faults on a plurality of machine each of which have a plurality of components, using an expert system having a knowledge engineering tool, a machine information database (MID) containing information on characteristics of various components of said plurality of machines, a sensory input database (SID) containing sensory data taken at predetermined locations on each of said plurality of machines, and a knowledge base containing a plurality of general rules that are applicable to all components of interest in the plurality of machines without reference to any specific machine, said knowledge base including a fact base, and a rule base containing a plurality of rules each of which have as a premise, test conditions which when satisfied will conclude on a component fault or will conclude on another test condition which then becomes the premise for one or more other rules, comprising the step of:
An automated method of diagnosing potential and existing faults on any one of a plurality of machine each of which are comprised of a plurality of components, using an expert system having a knowledge engineering tool;
An automated method of diagnosing potential and existing faults on any one of a plurality of machines each of which is comprised of a plurality of components, using an expert system having a knowledge engineering tool, and a knowledge base (KB) containing a rule base and a fact base, comprising the step of:
An automated method of diagnosing potential and existing faults on any one of a plurality of machines each of which is comprised of a plurality of components, using an expert system having a knowledge engineering tool, and a knowledge base (KB) containing a rule base and a fact base, comprising the step of:
An automated method of diagnosing potential and existing faults on any one of a plurality of machines each of which is comprised of a plurality of components, using an expert system having a knowledge engineering tool, and a knowledge base (KB), the KB having a rule base containing a plurality of rules each of which have as a premise, test conditions which when satisfied will conclude on a component fault or will conclude on another test condition which then becomes the premise for one or more other rules, and a fact base which includes both static and dynamic portions, comprising the step of:
An automated method of diagnosing potential and existing faults on any one or a plurality of machines each of which is comprised of a plurality of components, using an expert system having a knowledge engineering tool, and a knowledge base (KB), the KB having a rule base containing a plurality of rules each of which have as a premise, test conditions which when satisfied will conclude on a component fault or will conclude on another test condition which then becomes the premise for one or more other rules, and a fact base which includes both static and dynamic portions, comprising the step of:
An automated method of diagnosing potential and existing faults on any one of a plurality of machines each of which is comprised of a plurality of components, using an expert system having a knowledge engineering tool, and a knowledge base (KB), the KB having a rule base containing a plurality of rules each of which have as a premise, test conditions which when satisfied will conclude on a component fault or will conclude on another test condition which then becomes the premise for one or more other rules, and a fact base which includes both static and dynamic portions, comprising the step of:
An automated method of diagnosing potential and existing faults on any one of a plurality of machines each of which is comprised of a plurality of components, using an expert system having a knowledge engineering tool, and a knowledge base (KB), the KB having a rule base containing a plurality of rules each of which have as a premise, test conditions which when satisfied will conclude on a component fault or will conclude on another test condition which then becomes the premise for one or more other rules, and a fact base which includes both static and dynamic portions, comprising the step of:
An automated method of diagnosing potential and existing faults on any one of a plurality of machines each of which is comprised of a plurality of components, using an expert system having a knowledge engineering tool, and a knowledge base (KB), the KB having a rule base containing a plurality of rules each of which have as a premise, test conditions which when satisfied will conclude on a component fault or will conclude on another test condition which then becomes the premise for one or more other rules, and a fact base which includes both static and dynamic portions, comprising the step of:
An automated method of diagnosing potential and existing faults on any one of a plurality of machines each of which is comprised of a plurality of components, using an expert system having a knowledge engineering tool, and a knowledge base (KB), the KB having a rule base containing a plurality of rules each of which have as a premise, test conditions which when satisfied will conclude on a component fault or will conclude on another test condition which then becomes the premise for one or more other rules, and a fact base which includes both static and dynamic portions, comprising the step of:
Dependencies are inferred from the claim text.