Machine operation management
First Claim
1. A method for managing machine operation comprising:
- defining a network relationship structure having three bands, the first band comprising possible features, the second band comprising possible symptoms and the third band comprising possible diagnoses, wherein the features are linked to symptoms and symptoms are linked to diagnoses, the network relationship structure being defined such that each single symptom is linked to one or a plurality of features and each single symptom is linked to one or a plurality of diagnoses;
sensing a plurality of operational variables for a machine during use thereof so as to generate operational data for said variables and store said operational data in a memory;
processing, using a hardware processor, said operational data so as to determine features within the operational data indicative of an abnormal event representing a divergence from a desired operational state;
determining a confidence value associated with said features;
assessing whether a plurality of features and associated confidence value are indicative of a predetermined diagnosis for said machine;
determining a confidence value for said diagnosis based upon the associated feature confidence value, the confidence value for said diagnosis being different from the associated feature confidence value; and
outputting a signal indicative of an operational state of the machine if the diagnosis confidence value exceeds a threshold diagnosis confidence.
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Accused Products
Abstract
A method for managing machine operation comprising sensing a plurality of operational variables for a machine during use thereof so as to generate operational data for said variables. The operational data is processed so as to determine features within the operational data which are indicative of a divergence from a desired operational state of the machine. Confidence values associated with said features are determined and used to assess whether the plurality of features and associated confidence values are indicative of a predetermined diagnosis for said machine. A confidence value for said diagnosis is determined based upon the associated feature confidence values and used to generate a signal indicative of an operational state of the machine. The invention may be used for engine health monitoring applications and may be used for determining necessary servicing or repair work for the engine.
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Citations
13 Claims
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1. A method for managing machine operation comprising:
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defining a network relationship structure having three bands, the first band comprising possible features, the second band comprising possible symptoms and the third band comprising possible diagnoses, wherein the features are linked to symptoms and symptoms are linked to diagnoses, the network relationship structure being defined such that each single symptom is linked to one or a plurality of features and each single symptom is linked to one or a plurality of diagnoses; sensing a plurality of operational variables for a machine during use thereof so as to generate operational data for said variables and store said operational data in a memory; processing, using a hardware processor, said operational data so as to determine features within the operational data indicative of an abnormal event representing a divergence from a desired operational state; determining a confidence value associated with said features; assessing whether a plurality of features and associated confidence value are indicative of a predetermined diagnosis for said machine; determining a confidence value for said diagnosis based upon the associated feature confidence value, the confidence value for said diagnosis being different from the associated feature confidence value; and outputting a signal indicative of an operational state of the machine if the diagnosis confidence value exceeds a threshold diagnosis confidence. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A tool for diagnosis or prognosis of machine operation characteristics comprising:
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one or more hardware processors arranged for data communication with a plurality of sensors, said sensors arranged to record a plurality of operational variables during use of a machine so as to generate machine operational data for said variables and store said operational data in a memory, the one or more processors arranged to receive said machine operational data and to; define a network relationship structure having three bands, the first band comprising possible features, the second band comprising possible symptoms and the third band comprising possible diagnoses, wherein the features are linked to symptoms and symptoms are linked to diagnoses, the network relationship structure being defined such that each single symptom is linked to one or a plurality of features and each single symptom is linked to one or a plurality of diagnoses; control the processing of said operational data so as to determine features within the operational data indicative of an abnormal event representing a divergence from a desired operational state; determine a confidence value associated with said features; assess whether a plurality of features and associated confidence value are indicative of a predetermined diagnosis for said machine; determine a confidence value for said diagnosis based upon the associated feature confidence value, the confidence value for said diagnosis being different from the associated feature confidence value; and control the output of a signal indicative of an operational state of the machine dependent on the diagnosis confidence value.
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13. A data carrier comprising non-transitory machine readable instruction for controlling operation of one or more processors to perform the processing steps of:
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defining a network relationship structure having three band, the first band comprising possible features, the second band comprising possible symptoms and the third band comprising possible diagnoses, wherein the features are linked to symptoms and symptoms are linked to diagnosis, the network relationship structure being defined such that each single symptom is linked to one or a plurality of features and each single symptom is linked to one or a plurality of diagnoses; receiving operational data for a plurality of operational variables for a machine; determine features within the operational data indicative of an abnormal event representing a divergence from a desired operational state of said machine; determining a confidence value associated with said features; assessing whether a plurality of features and associated confidence value are indicative of a predetermined diagnosis for said machine; and determining a confidence value for said diagnosis based upon the associated feature confidence value, the confidence value for said diagnosis being different from the associated feature confidence value.
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Specification