Intelligent identification method for particles influencing oil viscosity

Intelligent identification method for particles influencing oil viscosity

  • CN 105,928,828 A
  • Filed: 04/21/2016
  • Published: 09/07/2016
  • Est. Priority Date: 04/21/2016
  • Status: Active Application
First Claim
Patent Images

1. the method for the granule Intelligent Recognition affecting oil viscosity, it is characterised in that comprise the steps ofconfiguration is containing different grains warps, content particles pollutant standard oil sample, and tests each oil sample viscosity;

  • 2) using each oil sample takes 5 μ

    m, 15 μ

    m, 25 μ

    m and 50 μ

    m grain through as input quantity, the oil sample viscosity that test is obtainedAs output, and take 4/5 unit training set as the granule Intelligent Recognition affecting oil viscosity of whole oil sample numberElement;

    3) training set is inputted execution C average fuzzy clustering and process division and the fuzzy rule number obtaining the input space;

    4) the output execution recursive least-squares method on training set processes and obtains affecting the granule Intelligent Recognition of oil viscosityModel parameter;

    5) according to division and the number of fuzzy rules of the input space of the granule Intelligent Recognition training sample set affecting oil viscosityMesh and model parameter obtain Fuzzy Rule Sets, thus build the granule intelligent recognition model affecting oil viscosity;

    6), after oil sample to be identified being tested its viscosity, input in the granule intelligent recognition model affecting oil viscosity and realize granuleOil viscosity affected identification.

View all claims
    ×
    ×

    Thank you for your feedback

    ×
    ×