In this research, a simulation algorithm was developed and implemented in MATLAB™ based on published HPGR models to test and demonstrate GA application for model calibration.
The proposed predictive model can be broadly used in the design of ML sensing film and in applications for the calibration process.
Although calibration standards are available for some application dedicated calibration standards for specific application are usually not available and have to be designed, manufactured and calibrated.
This failure to generalise limits their use as a tool in applications where the data available for calibration is unlikely to cover all possible scenarios.
Computational time of long-term simulations was reduced by simplifying the coal tar composition using 3 composite and 2 individual constituents and sequential application of a 2D centerline model (for calibration and predictions) and a 3D model (only for predictions).
Application of the method is demonstrated for calibration of hourly electricity consumption virtual sensors for 3 packaged air conditioners that are serving a small commercial building, and the method terminated the calibration process after about 3 weeks of data collection for all units with very accurate estimates of electricity consumption.
Furthermore, there is a standardisation of laboratory measurements of albumin, with internationally agreed standards, on definition and application of a reference measurement system for calibration and validation of routine methods (Infusino et al, 2011).
The application of in-house hair or nail material for calibration is quite commonplace in this context [ 66– 70].
A possible application for DLW is the manufacturing of measurement standards for calibration procedures of optical measurement instruments.
The kinematic design of such a measurement device, the calibration and its application for feedback control and improved TCP positioning in the presence of external forces is described.
