System, method and algorithm for data-driven equipment performance monitoring
US7966152B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 23, 2008 |
| Grant date | Jun 21, 2011 |
| Priority date | — |
| Expiry date | Nov 27, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B23/0232
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A method for automatically monitoring the performance of equipment includes compiling current operating conditions associated with current conditions (PMc). A historical database including a plurality of stored operating conditions and associated stored performance measure (PM*) is searched, each stored operating condition including at least one stored sensor reading, wherein at least one similar operating condition is identified in the search using distances between the current operating conditions and the stored operating conditions. The performance measure (PM*) associated with the similar operating condition is fit to generate a regression model. The regression model is applied to the current operating condition to generate an estimate for the performance measure for the current operating condition (PMe). A difference between PMc and PMe is computed. The first difference is compared to a predetermined threshold, wherein a warning is automatically generated if the first difference has a value greater than the predetermined threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.