Concept Idea of Engineer’s Decision Support System

Abstract

Every vehicle has different driveline structure and different components; therefore, we must be mindful choosing one. In the early designing stages, deciding which structure and which component with specific requirements fits is not always that obvious as each engineer has its own experience and understanding about product it working with. Therefore, it is worthy to have an instrument, which can evaluate as many perspectives as possible of each drive and offer a solution to the decision-making task. The aim is to review possibilities using artificial intelligence in component selection, based on existing examples of the artificial intelligence uses. All processes in power drives are sufficiently, precisely and widely described, for this reason mathematical model creation is not the biggest challenge. Using design of experiment methods, mathematical model can be used as a data source for artificial intelligence (AI) training. Various structures of neuron network (NN) are used to reach higher accuracy of AI data processing. Many researches concentrate on particular component characteristics choice, but in a case of drive selection it's a complex combination of all drive components, so the possibilities of using AI (artificial intelligence) in solving interdisciplinary tasks are noted.