Method for assessing the condition of rotating machinery connected to an electric motor
US10393621B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 22, 2017 |
| Grant date | Aug 27, 2019 |
| Priority date | — |
| Expiry date | Feb 22, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The subject of the invention is a method and a computer program for assessing the condition of rotating machinery connected to an electric motor, where the motor (MM) and the rotating machine (RM) comprise a drive train electrically powered from a three phase motor and said motor is connected with a computing device. The invention is characterized in that is comprises the step of classifying the condition of rotating machine (RM) connected to the electric motor (MM) of a drive train with unknown condition, by analyzing all the extracted representative features obtained from the electric signals acquired from the electric motor (MM) of said drive train, by using a trained neural network whose twining was conducted by analyzing the extracted features from N different drive trains of N conditions, where said trained neural network data is stored in unit (3.5) of the computing device (CD, CD′) and next generating an output vector (Z=[Z1, . . . ZN]), wherein the vector (Z) has N elements and if the output vector (Z) has only one element having value equal to 1 and the rest of elements values are equal to 0, determining the index (i) of the element with the value equal to 1, which index …
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.