Method for adaptive threshold computation for time and frequency based anomalous feature identification in fault log data
US6625589B1 · kind B1 · utility
36Cited by
49References
18Claims
0Family size
Assignee
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Key dates
| Filing date | Aug 4, 2000 |
| Grant date | Sep 23, 2003 |
| Priority date | — |
| Expiry date | Nov 23, 2021 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/06395
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
An algorithm for improving the probability of identifying the repair that will correct a fault aboard a machine, such as a locomotive. The invention utilizes historical fault log and repair data and further calculates the number of times a particular fault occurs in a given number of days and also the number of times a particular fault occurs on each day. Averages are calculated for these results and when the number of fault occurrences exceed some or more of those averages, then these faults are deemed statistically significant for subsequent processing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.