Liquid gauging apparatus using a time delay neural network
US6577960B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 13, 2000 |
| Grant date | Jun 10, 2003 |
| Priority date | — |
| Expiry date | Mar 9, 2021 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01F23/804
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Liquid gauging apparatus using a time delay neural network for determining a quantity of liquid in a container that is not directly measurable by sensors is disclosed. The apparatus comprises a plurality of sensors and a processor. Each of the sensors are capable of measuring a respective parameter of the liquid and for producing a time varying sensor output signal representative of the respective parameter measured thereby. The processor is programmed to process the sensor output signals by a time delay neural network algorithm to determine a current quantity of the liquid in the container based on current and past parameter measurements of the sensor output signals. Also disclosed is a method of training a time delay neural network algorithm for computing a quantity of liquid in a container from current and past liquid parameter sensor measurements. The method comprises the steps of: establishing a dynamic model of liquid behavior in the container and parameter measurements of the liquid behavior sensed by a plurality of sensors; deriving from the dynamic model training data sets for a plurality of liquid quantity values, each data set comprising current and past liquid parameter…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.