Abstract & Overview
Abstract As the world is tuning smart in every possible way, various engineering problems and processes are being made smart by the use of Artificial Intelligence (AI). As various AI methods are being tried in variety of applications in mechanical engineering like fault detection, autonomous vehicles, manufacturing, smart buildings etc., it becomes essential to survey and understand their suitability and performance to heighten the use of AI. Hence, this paper aims to survey the use of AI methods like artificial neural networks, genetic algorithm, deep learning, fuzzy logic, hybrid technique and case-based reasoning in some of the mechanical engineering applications and attempt to find out which AI method suits better for the applications discussed.