Diagnostic Baselining

• US 20120215491A1
• Filed: 02/21/2011
• Published: 08/23/2012
• Est. Priority Date: 02/21/2011
• Status: Abandoned Application

• Current Assignee: Snap-On Incorporated
• Original Assignee: Snap-On Incorporated
• Inventors: Theriot, Mark, Merg, Patrick S., Brozovich, Steve
• Application Number:
  US13/031,565
• Publication Number:
  US 20120215491A1
• Time in Patent Office: Days
• US Class Current: 702/183
• CPC Class Codes: G01M 17/00 Testing of vehicles testing fluid tightness G01M3/00; testing elastic properties of bodies or chassis, e.g. torsion-testing, G01M5/00; testing alignment of vehicle headlight devices G01M11/06; testing of engines G01M15/00
• CPC Class Codes: G05B 23/0281 Quantitative, e.g. mathematical distance; Clustering; Neural networks; Statistical analysis
• CPC Class Codes: G06F 11/30 Monitoring
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005

Abstract

Disclosed are methods and devices related to diagnosing a device-under-service (DUS) are disclosed. DUS-related data is received. The DUS-related data is determined to be aggregated into aggregated data based on a determined classification of the DUS-related data. An aggregated-data comparison of the DUS-related data and aggregated data is generated. The aggregated-data comparison can include a statistical analysis of the DUS-related data and/or a differential analysis of DUS-related data taken while the DUS is operating in two or more operating states. A DUS report is generated based on the aggregated-data comparison. The DUS report can include one or more sub-strategies. At least one of the one or more sub-strategies can include a sub-strategy-success estimate. The DUS report can be sent and a DUS-report display can be generated based on the DUS report.

Claims

1. A method, comprising:

at a device, receiving device-under-service (DUS)-related data for a DUS;

at the device, determining that the DUS-related data is to be aggregated into aggregated data based on a classification of the DUS-related data;

at the device, generating an aggregated-data comparison of the DUS-related data and the aggregated data;

at the device, generating a DUS report based on the aggregated-data comparison, the DUS report comprising one or more sub-strategies, wherein at least one of the one or more sub-strategies comprises a sub-strategy-success estimate; and

sending the DUS report from the device.

2. The method of claim 1, wherein the DUS-related data comprises DUS-test data obtained from a first DUS test performed on the DUS.

3. The method of claim 2, wherein determining the DUS-related data is to be aggregated comprises:

determining one or more DUS attributes from the DUS-related data;

selecting baseline data from the aggregated data based on the one or more DUS attributes;

generating a baseline comparison between the DUS-test data and baseline data;

determining the classification for the DUS-related data based on the baseline comparison; and

aggregating the DUS-related data into the aggregated data based on the classification.

4. The method of claim 2, further comprising:

at the device, generating a diagnostic request based on the aggregated-data comparison, the diagnostic request for requesting data related to a second DUS test performed at the DUS.

5. The method of claim 4, wherein the diagnostic request comprises instructions for performing the second DUS test.

6. The method of claim 1, wherein the DUS-related data comprises complaint data, and wherein generating the DUS report comprises generating the DUS report based on the complaint data.

7. The method of claim 6, wherein generating the DUS report comprises:

determining at least one complaint based on the complaint data;

generating a query based on the at least one complaint;

querying a rules engine of the device using the query; and

in response to the query, receiving the one or more sub-strategies.

8. The method of claim 7, wherein the compliant data comprises complaint text, and wherein determining the at least one complaint comprises:

generating a textual analysis of the complaint text; and

determining the at least one complaint based on the textual analysis.

9. The method of claim 7, wherein the DUS-related data comprises DUS-test data obtained from a first test performed on the DUS,

wherein generating the aggregated-data comparison comprises performing a statistical analysis of the DUS-test data and the aggregated data, and

wherein generating the DUS report comprises generating the query based on the statistical analysis and the at least one complaint.

10. The method of claim 9, wherein the DUS-related data and the aggregated data each comprise data for a plurality of variables, and wherein the performing the statistical analysis comprises performing a multi-variable analysis of the data for at least two variables of the plurality of variables.

11. The method of claim 1, further comprising:

at the device, receiving success-related data on a first sub-strategy of the one or more sub-strategies; and

at the device, adjusting the sub-strategy-success estimate of at least the first sub-strategy based on the success-related data.

12. The method of claim 1, wherein generating the aggregated-data comparison of the DUS-related data and the aggregated data comprises:

determining a basis of one or more vectors representing at least part of the aggregated data;

determining a baseline-data vector of the baseline data, the baseline-data vector utilizing the basis;

determining a DUS-data vector of the DUS-related data, the DUS-data vector utilizing the basis; and

determining a vector difference between the baseline-data vector and the DUS-data vectors.

13. The method of claim 12, wherein generating the DUS report based on the aggregated-data comparison comprises determining at least one of the one or more sub-strategies based on the vector difference.

14. The method of claim 1, wherein the DUS-related data comprises complaint data, and wherein generating the aggregated-data comparison of the DUS-related data and the aggregated data comprises:

determining a reduced data set of the aggregated data based on the complaint data;

determining a set of basis vectors based on the reduced dataset; and

identifying one or more principle parameter components for a complaint in the complaint data based on a projection of the basis vectors onto the DUS-related data; and

wherein generating the DUS report based on the aggregated-data comparison comprises;

applying one or more rules about the principle parameter components; and

determining a sub-strategy based on the applied one or more rules.

15. The method of claim 1, wherein generating the aggregated-data comparison of the DUS-related data and the aggregated data comprises generating a pattern correlation between at least some of the DUS-related data and at least some of the aggregated data.

16. A client device, comprising:

memory;

a processor; and

instructions stored in the memory that, in response to execution by the processor, cause the client device to perform functions comprising;

receiving a diagnostic request for a device under service (DUS),

sending, to the DUS, a DUS-test request to perform a test related to the diagnostic request,

receiving, from the DUS, DUS-related data based on the test,

sending the DUS-related data,

receiving a DUS report based on the DUS-related data, and

generating a DUS-report display of the DUS report.

17. The client device of claim 16, wherein the client device further comprises a network-communication interface, wherein sending the DUS-related data comprises sending the DUS-related data via the network-communication interface, and wherein receiving the DUS report comprises receiving the DUS report via the network-communication interface.

18. The client device of claim 16, wherein the client device further comprises a user interface, and wherein the functions further comprise:

displaying the DUS-report display via the user interface.

19. A method, comprising:

receiving a diagnostic request to diagnose a device under service (DUS) at a device;

determining, at the device, a test based on the diagnostic request, the test related to at least a first operating state of the DUS;

requesting, by the device, performance of the test at the first operating state of the DUS;

at the device, receiving first-operating-state data for the DUS based on the test;

verifying, at the device, that the first-operating-state data is related or is not related to the first operating state; and

in response to verifying that the first-operating-state data is related to the first operating state;

generating a differential analysis by the device based on the first-operating-state data,

generating a DUS-report display by the device based on the differential analysis, and

sending the DUS-report display from the device.

20. The method of claim 19, wherein the first-operating-state data comprises data from at least two sensors associated with the DUS.

21. The method of claim 19, wherein the test comprises a plurality of tests for the DUS.

22. The method of claim 19, wherein verifying that the first-operating-state data is related to the first operating state comprises:

determining a first grid cell for the first-operating-state data;

determining an operating state related to the first grid cell; and

determining that the operating state related to the first grid cell is the first operating state.

23. The method of claim 22, wherein generating the differential analysis by the device based on the first-operating-state data comprises:

determining first aggregated data for the first grid cell; and

generating a first differential-analysis list for the first operating state based on a comparison of the first-operating-state data and the first aggregated data.

24. The method of claim 19, further comprising:

in response to verifying that the first-operating-state data is not related to the first operating state;

requesting, by the device, another performance of the test at the first operating state of the DUS;

at the device, receiving second-operating-state data for the DUS based on the test.