16 Modeling and Parameter Identification for Active Lubricated …
203
16.4 Analysis for the Identified Parameters of Model
16.4.1 Results of Parameters Identification
After the system parameters are identified, the identified models are verified by using
different data collected under the same conditions. Figure 16.4 shows an example of
measured shaft movement and their predicted. The horizontal fit is 93.97%, and the
vertical fit is 89.53% in this example. Figure 16.5 shows the validation fit percentage
of the identified model. The horizontal fit mean value is 91.35% and its standard
Fig. 16.4 Example of identification from data collected at x = 2.6 μm and y = 0.75 μm
Fig. 16.5 Fit percentages in validation of the identified models on other data
203
16.4 Analysis for the Identified Parameters of Model
16.4.1 Results of Parameters Identification
After the system parameters are identified, the identified models are verified by using
different data collected under the same conditions. Figure 16.4 shows an example of
measured shaft movement and their predicted. The horizontal fit is 93.97%, and the
vertical fit is 89.53% in this example. Figure 16.5 shows the validation fit percentage
of the identified model. The horizontal fit mean value is 91.35% and its standard
Fig. 16.4 Example of identification from data collected at x = 2.6 μm and y = 0.75 μm
Fig. 16.5 Fit percentages in validation of the identified models on other data