Data driven method and system for predicting operational states of mechanical systems
US8165826B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 30, 2008 |
| Grant date | Apr 24, 2012 |
| Priority date | — |
| Expiry date | Nov 6, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/37252
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
There is provided an automated data driven method for predicting one or more operational states, such as wear or degradation, of a mechanical system over time. The method has the steps of collecting data on the mechanical system from a data recording device, preprocessing the collected data, selecting a training data set that represents a base condition for statistical comparison, fitting a statistical model to the training data set to relate a predicted response to nuisance variables at the base condition, and using an output model to predict what an observed response would have been at the base condition and calculating the difference between the observed response and the predicted response to predict the one or more operational states of the mechanical system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.