Concept of Field Data-Based Modelling

Formulation of a logic-based model correlating causes and effects is not possible for these types of complex phenomenon. The only approach appropriate for this type of study of phenomenon is experimental data-based modelling. Data-based model correlates the inputs or causes - in other words, the outputs of such activity - by formulating the quantitative mathematical modelling. The indices of the causes of the model indicate the most influencing inputs. Such correlation indicates the deficiency and the strength of the system which helps to improve the performance of the system such as maintenance of liner piston, crank shaft, performance of diesel blend, and performance of solar system. Hence, for improving system/activity performance it is necessary to procedure such analytical cause-effect relationships conceptualized as field data-based model or experimental data-based model.