Diagnosis of equipment failures using an integrated approach of case based reasoning and reliability analysis
First Claim
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1. A method to diagnose failures for a plurality of given machines, each machine having a corresponding plurality given hardware components, comprising:
- collecting a statistical reliability data for a plurality of the given machines and for a plurality of the given hardware components corresponding to each machine;
constructing a case base database for each machine, having a plurality of case based database records, each of said records including a failed machine identifier field, a failed component identifier field, a failure description text field, and a solution record field;
receiving an equipment problem description from a user, said description including a problem machine identifier and a problem description text;
generating a statistical reliability based conditional statistical probability, for each of a plurality of the hardware components corresponding to the machine identified by said problem machine identifier, of said component having a failed state given that said machine has a failed state, based on said collected statistical reliability data;
generating a case-based probability, for each of a plurality of the hardware components corresponding to the machine identified by said problem machine identifier, of said component having a failed state given that said machine has a failed state, based on comparing the problem description text received from the user to the failure description text field of a plurality of the case base database records;
identifying a most probable failed hardware component from among the hardware components corresponding to the machine identified by said problem machine identifier, said identifying based on a combination of the generated statistical reliability based conditional probability of said identified component having a failed state given that said machine has a failed state, and said generated case-based probability of said component having a failed state.
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Abstract
Equipment failures are diagnosed using an integrated approach of case-based reasoning (CBR) and statistical reliability analysis. The method outputs a single list of suggested failed components, ranked by an overall probability of failure, and their associated past solutions from the case base. The overall probability of failure is calculated using the combined logic of case based reasoning and statistical reliability analysis. The method is typically used in a real-time decision support system to aid equipment diagnosis by a maintenance technician working in the field.
21 Citations
9 Claims
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1. A method to diagnose failures for a plurality of given machines, each machine having a corresponding plurality given hardware components, comprising:
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collecting a statistical reliability data for a plurality of the given machines and for a plurality of the given hardware components corresponding to each machine; constructing a case base database for each machine, having a plurality of case based database records, each of said records including a failed machine identifier field, a failed component identifier field, a failure description text field, and a solution record field; receiving an equipment problem description from a user, said description including a problem machine identifier and a problem description text; generating a statistical reliability based conditional statistical probability, for each of a plurality of the hardware components corresponding to the machine identified by said problem machine identifier, of said component having a failed state given that said machine has a failed state, based on said collected statistical reliability data; generating a case-based probability, for each of a plurality of the hardware components corresponding to the machine identified by said problem machine identifier, of said component having a failed state given that said machine has a failed state, based on comparing the problem description text received from the user to the failure description text field of a plurality of the case base database records; identifying a most probable failed hardware component from among the hardware components corresponding to the machine identified by said problem machine identifier, said identifying based on a combination of the generated statistical reliability based conditional probability of said identified component having a failed state given that said machine has a failed state, and said generated case-based probability of said component having a failed state. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A decision support system to diagnose failures for a plurality of given machines, each machine having a corresponding plurality given hardware components, comprising:
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a statistical reliability database storing a statistical reliability data for a plurality of the given machines and for a plurality of the given hardware components corresponding to each machine; a case base database storing a plurality of case based database records, each of said records including a failed machine identifier field, a failed component identifier field, a failure description text field, and a solution record field; a decision support system client for receiving an equipment problem description from a user, said description including a problem machine identifier and a problem description text; a real-time decision support system engine for calculating failure probability for each hardware component in the equipment, wherein said engine is arranged to generate a statistical reliability based conditional statistical probability, for each of a plurality of the hardware components corresponding to the machine identified by said problem machine identifier, of said component having a failed state given that said machine has a failed state, based on said collected statistical reliability data, to generate a case-based probability, for each of a plurality of the hardware components corresponding to the machine identified by said problem machine identifier, of said component having a failed state given that said machine has a failed state, based on comparing the problem description text received from the user to the failure description text field of a plurality of the case base database records, and to identify a most probable failed hardware component from among the hardware components corresponding to the machine identified by said problem machine identifier, said identifying based on a combination of the generated statistical reliability based conditional probability of said identified component having a failed state given that said machine has a failed state, and said generated case-based probability of said component having a failed state. - View Dependent Claims (8, 9)
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Specification