Event-driven data mining method for improving fault code settings and isolating faults
First Claim
1. A parameter identification-based fault isolation technique, the method comprising the steps of:
- executing a diagnostic software routine for identifying diagnostic trouble codes used to detect faults in a circuit of a current serviced vehicle, the diagnostic software routine further retrieving parameter identification data relating to the circuit identified with the detected fault;
obtaining parameter identification data of prior serviced vehicles on a computer, the parameter identification data being retrieved from the prior serviced vehicles that include vehicles having same vehicle specifications as the current serviced vehicle under substantially similar operating conditions as the current serviced vehicle;
grouping the parameter identification data of the prior serviced vehicles into a plurality of clusters based on mutual dependence to one another;
determining a joint probability distribution as a function of a mutual dependence of the parameter identification data of the prior serviced vehicles;
selecting parameter identification data of the current serviced vehicle having a coherence to the parameter identification data from the prior serviced vehicles;
projecting a mutual dependence of the parameter identification data of the current serviced vehicle onto the corresponding joint probability distribution; and
detecting an anomaly in the parameter identification data of the current serviced vehicle in response to the joint probability distribution of parameter identification data being outside of a predetermined variance, wherein the detected anomaly represents at least one of an error in the diagnostic software routine or an intermittent occurrence of a respective diagnostic trouble code; and
modifying at least one of the diagnostic software routine or a component associated with the intermittent occurrence of the respective diagnostic trouble code to correct the error or intermittent re-occurrence of the respective diagnostic code.
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Accused Products
Abstract
A parameter identification-based fault isolation technique is provided for improving fault code settings and isolating faults. DTCs and PIDs are retrieved from a current serviced vehicle. PID data is obtained from prior serviced vehicles having same vehicle specifications as and under substantially similar operating conditions as the current serviced vehicles. A plurality of clusters is formed using PID data of the prior serviced vehicles using mutual dependence to one another. A joint probability distribution is determined as a function of a mutual dependence of the PID data. PID data is selected of the current serviced vehicle having coherence to the PID of the prior service vehicles. A mutual dependence of the PID data of the current serviced vehicle is projected on onto the corresponding joint probability distribution. An anomaly in the PID data of the current serviced vehicle is detected in response to the probability distribution of parameter identification data being outside of a predetermined variance.
32 Citations
18 Claims
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1. A parameter identification-based fault isolation technique, the method comprising the steps of:
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executing a diagnostic software routine for identifying diagnostic trouble codes used to detect faults in a circuit of a current serviced vehicle, the diagnostic software routine further retrieving parameter identification data relating to the circuit identified with the detected fault; obtaining parameter identification data of prior serviced vehicles on a computer, the parameter identification data being retrieved from the prior serviced vehicles that include vehicles having same vehicle specifications as the current serviced vehicle under substantially similar operating conditions as the current serviced vehicle; grouping the parameter identification data of the prior serviced vehicles into a plurality of clusters based on mutual dependence to one another; determining a joint probability distribution as a function of a mutual dependence of the parameter identification data of the prior serviced vehicles; selecting parameter identification data of the current serviced vehicle having a coherence to the parameter identification data from the prior serviced vehicles; projecting a mutual dependence of the parameter identification data of the current serviced vehicle onto the corresponding joint probability distribution; and detecting an anomaly in the parameter identification data of the current serviced vehicle in response to the joint probability distribution of parameter identification data being outside of a predetermined variance, wherein the detected anomaly represents at least one of an error in the diagnostic software routine or an intermittent occurrence of a respective diagnostic trouble code; and modifying at least one of the diagnostic software routine or a component associated with the intermittent occurrence of the respective diagnostic trouble code to correct the error or intermittent re-occurrence of the respective diagnostic code. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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Specification