METHOD FOR VERIFYING BAD PATTERN IN TIME SERIES SENSING DATA AND APPARATUS THEREOF
First Claim
1. A method for verifying a bad pattern in sensing data, the method comprising:
- receiving bad pattern information applied to sensing data measured by a sensor;
accessing the sensing data of each product, generated by the sensor;
calculating similarity measures between the bad pattern based on the bad pattern information and the accessed sensing data; and
calculating an error rate of the bad pattern based on the similarity measures.
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Abstract
A method for verifying bad pattern in time series sensing data by calculating a bad pattern error rate, which can be applied to the time series sensing data measured and produced from a predetermined sensor provided in predetermined equipment, and an apparatus thereof are provided. The method includes receiving information on the bad pattern applied to time series sensing data measured by a suspicious sensor, accessing the time series sensing data of each product, generated by the suspicious sensor during a verification period, calculating similarity measures between the bad pattern based on the bad pattern information and the time series sensing data for each product, and calculating an error rate of the bad pattern based on the similarity measures.
17 Citations
23 Claims
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1. A method for verifying a bad pattern in sensing data, the method comprising:
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receiving bad pattern information applied to sensing data measured by a sensor; accessing the sensing data of each product, generated by the sensor; calculating similarity measures between the bad pattern based on the bad pattern information and the accessed sensing data; and calculating an error rate of the bad pattern based on the similarity measures. - View Dependent Claims (2, 3, 4, 5, 6, 7, 20, 21)
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8. An apparatus for verifying a bad pattern in sensing data, the apparatus comprising:
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a verification parameter receiving unit configured to receive verification parameters including information on the bad pattern applied to sensing data of a sensor and information on a verification method; a sensing data extracting unit configured to access the sensing data of each product, generated by the sensor based on verification method information; a similarity measure calculating unit configured to calculate similarity measures between the bad pattern based on the bad pattern information and the sensing data, for each product; and a bad pattern verification unit configured to calculate an error rate of the bad pattern based on the similarity measures. - View Dependent Claims (9, 10, 11, 22, 23)
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12. A method for monitoring sensing data of equipment, the method comprising:
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receiving information on a bad pattern applied to sensing data measured from a sensor; receiving sensing data information from the sensor; calculating similarity measures of an Euclidean ratio, a correlation and a trend similarity between the bad pattern based on bad pattern information and the sensing data, each of the Euclidean ratio, the correlation and the trend similarity having a value in a range between 0, which means non-similarity, and 1, which means sameness; and generating a warning signal when a calculated value of at least one from among the Euclidean ratio, the correlation and the trend similarity is 1, wherein the trend similarity is a measured value pattern one of increasing and decreasing according to a passage of time.
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13. Production equipment comprising:
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one or more sensors generating sensing data; a sensing data stream receiving unit configured to receive a sensing data stream measured from the one or more sensors; a bad pattern information receiving unit configured to receive information on a bad pattern applied to sensing data measured by each of the one or more sensors; a similarity measure calculator configured to calculate similarity measures of an Euclidean ratio, a correlation and a trend similarity between the bad pattern based on the bad pattern information and the sensing data, each of the Euclidean ratio, the correlation and the trend similarity having a value in a range between 0, which means non-similarity, and 1, which means sameness; and a warning signal output unit configured to generate a warning signal when a calculated value of at least one from among the Euclidean ratio, the correlation and the trend similarity is 1. - View Dependent Claims (14, 15)
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16. A reference pattern detecting apparatus comprising:
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a sensing data stream receiving unit configured to receive a sensing data stream measured from one or more sensors; a reference pattern information receiving unit configured to receive information on a reference pattern applied to the sensing data generated from each of the one or more sensors; and a similarity measure calculator configured to calculate and output similarity measures of an Euclidean ratio, a correlation and a trend similarity between the reference pattern based on reference pattern information and the sensing data, each of the Euclidean ratio, the correlation and the trend similarity having a value in a range between 0, which means non-similarity, and 1, which means sameness. - View Dependent Claims (17, 18, 19)
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Specification