System and method for the detection of faults in a multi-variable system utilizing both a model for normal operation and a model for faulty operation
US9366451B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 23, 2011 |
| Grant date | Jun 14, 2016 |
| Priority date | — |
| Expiry date | Nov 9, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/2614
- WIPO fieldThermal processes and apparatus
- WIPO sectorMechanical engineering
Abstract
A method for detecting faulty operation of a multi-variable system is described. The method includes receiving operational data from a plurality of components of the multi-variable system and processing the operational data in accordance with a plurality of dynamic machine learning fault detection models to generate a plurality of fault detection results. Each fault detection model uses a plurality of variables to model one or more components of the multi-variable system and is adapted to detect normal or faulty operation of an associated component or set of components of the multi-variable system. The plurality of fault detection results are output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.