Patent US7395170B2 successfully refreshed from Google Patents.
US7395170B2
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US
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Methods and apparatus for data analysis
Assignee: In Depth Test LLC
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Filing: 2004-04-02
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Granted: 2008-07-01
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Expires: 2024-04-02
Abstract
Abstract A method and apparatus for data analysis according to various aspects of the present invention is configured to automatically select one or more outlier identification algorithms for identifying statistical outliers in test data for components.
Inventors
- 👤 Michael J. Scott
- 👤 Jacky Gorin
- 👤 Paul Buxton
- 👤 Eric Paul Tabor
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 20:47
CPC Classifications
G; G01; G01R; G01R31/00; G01R31/28; G01R31/317; G01R31/31707; G01R31/3181; G01R31/3183; G01R31/318314; G05; G05B; G05B23/00; G05B23/02; G05B23/0205; G05B23/0218; G05B23/0224; G05B23/0227; G05B23/0229; G05B23/0259; G05B23/0286; G05B23/0294; G06; G06F; G06F18/00; G06F18/20; G06F18/24; G06F18/243; G06F18/2433; G05B2219/00; G05B2219/10; G05B2219/11; G05B2219/1112; G05B2223/00; G05B2223/02
Claims Analysis
Total Claims: 48
Claim 1
Independent Claim
87 words
A test data analysis system for analyzing test data for a set of components fabricated and tested using a fabrication process, comprising: a memory for storing the test data; and an outlier identification system having access to the memory and configured to identify outliers in the test data according to a selected outlier identification algorithm, wherein the outlier identification system is configured to automatically select the selected outlier identification algorithm from a plurality of outlier identification algorithms according to a data population type of the test data.
Claim 2
Dependent Claim
87 words
A test data analysis system for analyzing test data for a set of components fabricated and tested using a fabrication process, comprising: a memory for storing the test data; and an outlier identification system having access to the memory and configured to identify outliers in the test data according to a selected outlier identification algorithm, wherein the outlier identification system is configured to automatically select the selected outlier identification algorithm from a plurality of outlier identification algorithms according to a data population type of the test data.
Claim 3
Dependent Claim
51 words
A computer-implemented method for testing components comprising: obtaining test data for the components; automatically selecting an outlier identification algorithm from a plurality of outlier identification algorithms according to a data population type of the test data; and automatically identifying outliers in the test data according to the selected outlier identification algorithm.
Claim 4
Dependent Claim
51 words
A computer-implemented method for testing components comprising: obtaining test data for the components; automatically selecting an outlier identification algorithm from a plurality of outlier identification algorithms according to a data population type of the test data; and automatically identifying outliers in the test data according to the selected outlier identification algorithm.
Claim 5
Independent Claim
67 words
A medium storing instructions executable by a machine, wherein the instructions cause the machine to execute a method for analyzing test data comprising: obtaining test data for the components; automatically selecting an outlier identification algorithm from a plurality of outlier identification algorithms according to a data population type of the test data; and automatically identifying an outlier in the test data using the selected outlier identification algorithm.
Claim 6
Independent Claim
67 words
A medium storing instructions executable by a machine, wherein the instructions cause the machine to execute a method for analyzing test data comprising: obtaining test data for the components; automatically selecting an outlier identification algorithm from a plurality of outlier identification algorithms according to a data population type of the test data; and automatically identifying an outlier in the test data using the selected outlier identification algorithm.
Claim 7
Dependent Claim
36 words
A test data analysis system according to claim 1 , wherein the outlier identification system is configured to select the selected outlier identification algorithm according to at least one descriptive statistic derived from the test data.
Claim 8
Dependent Claim
37 words
A test data analysis system according to claim 1 , wherein the outlier identification system is configured to forego automatically identifying the outliers in the test data if the test data is a selected data population type.
Claim 9
Dependent Claim
43 words
A test data analysis system according to claim 1 , wherein the outlier identification system comprises a pre-processing engine configured to identify the outliers in the test data using more of the plurality of outlier identification algorithms than the selected outlier identification algorithm.
Claim 10
Dependent Claim
28 words
A test data analysis system according to claim 1 , wherein the outlier identification system is configured to select the selected outlier identification algorithm according to user-defined rules.
Claim 11
Dependent Claim
36 words
A test data analysis system according to claim 1 , wherein the outlier identification system is configured to select the selected outlier identification algorithm according to a classification hierarchy based on characteristics of the test data.
Claim 12
Dependent Claim
46 words
A test data analysis system according to claim 1 , wherein the outlier identification system is configured to automatically identify outliers in the test data according to multiple outlier identification algorithms and discard results generated by outlier identification algorithms other than the selected outlier identification algorithm.
Claim 13
Dependent Claim
54 words
A test data analysis system according to claim 1 , wherein the outlier identification system comprises: a pre-processing engine configured to analyze the test data according to the plurality of outlier identification algorithms to generate pre-processing data; and a classification engine configured to select the selected outlier identification algorithm based on the pre-processing data.
Claim 14
Dependent Claim
86 words
A test data analysis system according to claim 1 , wherein the test data for the set of components includes tests data from multiple tests for the components, and wherein the outlier identification system is configured to automatically identify outliers in the test data for each test according to a test-specific selected outlier identification algorithm selected for the test data for each test, wherein the test-specific selected outlier identification algorithm for each test is automatically selected for each test from the plurality of outlier identification algorithms.
Claim 15
Dependent Claim
25 words
A test data analysis system according to claim 1 , wherein the plurality of outlier identification algorithms is configured to be modified by a user.
Claim 16
Dependent Claim
37 words
A test data analysis system according to claim 1 , wherein the test data includes raw test data and filtered test data, wherein the filtered test data comprises the raw data without test data corresponding to failures.
Claim 17
Dependent Claim
61 words
A test data analysis system according to claim 1 , wherein the outlier identification system is configured to: forego automatically identifying the outliers in the test data according to the selected outlier identification algorithm if the test data is generated by a user-specified test; and identify outliers in the test data for the selected test using a user-specified outlier identification algorithm.
Claim 18
Dependent Claim
53 words
A test data analysis system according to claim 1 , wherein: the selected outlier identification compares the test data to an upper threshold and a lower threshold; the upper threshold and the lower threshold are defined according to different distances from a mean between an upper test limit and a lower test limit.
Claim 19
Dependent Claim
39 words
A test data analysis system according to claim 1 , wherein the outlier identification system is configured to: dynamically adjust a threshold according to the test data; and compare the test data to the threshold to identify the outliers.
Claim 20
Dependent Claim
84 words
A test data analysis system according to claim 16 , wherein the outlier identification system is configured to forego dynamically adjusting the upper threshold and the lower threshold and assign selected values to the upper threshold and the lower threshold if a selected portion of the tests data is at least one of (a) within a selected range of the upper test limit or the lower test limit, and (b) beyond a selected range of the upper test limit or the lower test limit.
Claim 21
Dependent Claim
33 words
A computer-implemented method according to claim 2 , wherein selecting the outlier identification algorithm includes selecting the selected outlier identification algorithm according to at least one descriptive statistic derived from the test data.
Claim 22
Dependent Claim
29 words
A computer-implemented method according to claim 2 , further comprising foregoing automatically identifying the outliers in the test data if the test data is a selected data population type.
Claim 23
Dependent Claim
37 words
A computer-implemented method according to claim 2 , wherein selecting the outlier identification algorithm includes identifying the outliers in the test data using more of the plurality of outlier identification algorithms than the selected outlier identification algorithm.
Claim 24
Dependent Claim
25 words
A computer-implemented method according to claim 2 , wherein selecting the outlier identification algorithm includes selecting the selected outlier identification algorithm according to user-defined rules.
Claim 25
Dependent Claim
33 words
A computer-implemented method according to claim 2 , wherein selecting the outlier identification algorithm includes selecting the selected outlier identification algorithm according to a classification hierarchy based on characteristics of the test data.
Claim 26
Dependent Claim
43 words
A computer-implemented method according to claim 2 , wherein selecting the outlier identification algorithm includes automatically identifying outliers in the test data according to multiple outlier identification algorithms and discarding results generated by outlier identification algorithms other than the selected outlier identification algorithm.
Claim 27
Dependent Claim
43 words
A computer-implemented method according to claim 2 , wherein selecting the outlier identification algorithm includes: analyzing the test data according to the plurality of outlier identification algorithms to generate pre-processing data; and selecting the selected outlier identification algorithm based on the pre-processing data.
Claim 28
Dependent Claim
51 words
A computer-implemented method according to claim 2 , wherein the test data for the set of components includes tests data from multiple tests for the components, and wherein selecting the outlier identification algorithm includes selecting a test-specific selected outlier identification algorithm for each test from the plurality of outlier identification algorithms.
Claim 29
Dependent Claim
23 words
A computer-implemented method according to claim 2 , wherein the plurality of outlier identification algorithms is configured to be modified by a user.
Claim 30
Dependent Claim
35 words
A computer-implemented method according to claim 2 , wherein the test data includes raw test data and filtered test data, wherein the filtered test data comprises the raw data without test data corresponding to failures.
Claim 31
Dependent Claim
56 words
A computer-implemented method according to claim 2 , wherein automatically identifying outliers comprises: foregoing automatically identifying the outliers in the test data according to the selected outlier identification algorithm if the test data is generated by a user-specified test; and identifying outliers in the test data for the selected test using a user-specified outlier identification algorithm.
Claim 32
Dependent Claim
52 words
A computer-implemented method according to claim 2 , wherein automatically identifying outliers comprises: comparing the test data to an upper threshold and a lower threshold, wherein the upper threshold and the lower threshold are defined according to different distances from a mean between an upper test limit and a lower test limit.
Claim 33
Dependent Claim
34 words
A computer-implemented method according to claim 2 , wherein automatically identifying outliers comprises: dynamically adjusting a threshold according to the test data; and comparing the test data to the threshold to identify the outliers.
Claim 34
Dependent Claim
80 words
A computer-implemented method according to claim 30 , wherein automatically identifying outliers further comprises foregoing dynamically adjusting the upper threshold and the lower threshold and assigning selected values to the upper threshold and the lower threshold if a selected portion of the tests data is at least one of (a) within a selected range of the upper test limit or the lower test limit and (b) beyond a selected range of the upper test limit or the lower test limit.
Claim 35
Dependent Claim
32 words
A medium according to claim 3 , wherein selecting the outlier identification algorithm includes selecting the selected outlier identification algorithm according to at least one descriptive statistic derived from the test data.
Claim 36
Dependent Claim
28 words
A medium according to claim 3 , further comprising foregoing automatically identifying the outliers in the test data if the test data is a selected data population type.
Claim 37
Dependent Claim
36 words
A medium according to claim 3 , wherein selecting the outlier identification algorithm includes identifying the outliers in the test data using more of the plurality of outlier identification algorithms than the selected outlier identification algorithm.
Claim 38
Dependent Claim
24 words
A medium according to claim 3 , wherein selecting the outlier identification algorithm includes selecting the selected outlier identification algorithm according to user-defined rules.
Claim 39
Dependent Claim
32 words
A medium according to claim 3 , wherein selecting the outlier identification algorithm includes selecting the selected outlier identification algorithm according to a classification hierarchy based on characteristics of the test data.
Claim 40
Dependent Claim
42 words
A medium according to claim 3 , wherein selecting the outlier identification algorithm includes automatically identifying outliers in the test data according to multiple outlier identification algorithms and discarding results generated by outlier identification algorithms other than the selected outlier identification algorithm.
Claim 41
Dependent Claim
42 words
A medium according to claim 3 , wherein selecting the outlier identification algorithm includes: analyzing the test data according to the plurality of outlier identification algorithms to generate pre-processing data; and selecting the selected outlier identification algorithm based on the pre-processing data.
Claim 42
Dependent Claim
50 words
A medium according to claim 3 , wherein the test data for the set of components includes tests data from multiple tests for the components, and wherein selecting the outlier identification algorithm includes selecting a test-specific selected outlier identification algorithm for each test from the plurality of outlier identification algorithms.
Claim 43
Dependent Claim
22 words
A medium according to claim 3 , wherein the plurality of outlier identification algorithms is configured to be modified by a user.
Claim 44
Dependent Claim
34 words
A medium according to claim 3 , wherein the test data includes raw test data and filtered test data, wherein the filtered test data comprises the raw data without test data corresponding to failures.
Claim 45
Dependent Claim
55 words
A medium according to claim 3 , wherein automatically identifying outliers comprises: foregoing automatically identifying the outliers in the test data according to the selected outlier identification algorithm if the test data is generated by a user-specified test; and identifying outliers in the test data for the selected test using a user-specified outlier identification algorithm.
Claim 46
Dependent Claim
51 words
A medium according to claim 3 , wherein automatically identifying outliers comprises: comparing the test data to an upper threshold and a lower threshold, wherein the upper threshold and the lower threshold are defined according to different distances from a mean between an upper test limit and a lower test limit.
Claim 47
Dependent Claim
33 words
A medium according to claim 3 , wherein automatically identifying outliers comprises: dynamically adjusting a threshold according to the test data; and comparing the test data to the threshold to identify the outliers.
Claim 48
Dependent Claim
79 words
A medium according to claim 44 , wherein automatically identifying outliers further comprises foregoing dynamically adjusting the upper threshold and the lower threshold and assigning selected values to the upper threshold and the lower threshold if a selected portion of the tests data is at least one of (a) within a selected range of the upper test limit or the lower test limit and (b) beyond a selected range of the upper test limit or the lower test limit.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
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| 3.5 Years (Year 4) | 2011-07-01 | 2011-12-31 | 2012-07-01 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2015-07-01 | 2015-12-31 | 2016-07-01 | $3760.00 | Window Closed / Lapsed |
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