Open Access Open Access  Restricted Access Subscription or Fee Access

A Novel Analysis of Artificial Intelligence in Mechanical Engineering Application

Niraj R. Shingala, Ankit V. Sata, Parth V. Delvadiya

Abstract


In this study, we have tried to explain the crucial role of Artificial Intelligence (AI) in the running of mechanical industry. The technology used these days in the machines is to aid the solution towards the real-world problems and complex situations. Many AI algorithms have been able to provide the solution to many engineering approaches. The importance of the artificial intelligence has automatized the mechanical engineering with smart machines and robots. Algorithms including computation systems, fuzzy logic systems, and neural networks have grown to solve the problems in engineering. Artificial intelligence has laid a good impact over these years in the engineering industry and has evolved smart systems that are a great aid to the human life and has also widened the horizons for the researchers with respect to future.

Cite this Article

Niraj R. Shingala, Ankit V. Sata, Parth V. Delvadiya. A Novel Analysis of Artificial Intelligence in Mechanical Engineering Application. Journal of Artificial Intelligence Research & Advances. 2018; 5(3): 35–38p.


Keywords


Artificial intelligence, mechanical, complex algorithms, smart systems, Fuzzy logic, neural networks, boundary element method (BEM), method of fundamental solutions (MFS)

Full Text:

PDF

References


Sivanandam SN. Introduction to Neural Networks Using Matlab‖. Tata Mcgraw Hill. 2006.

Bishop CM. Neural Networks for Pattern Recognition. Oxford: Clarendon Press. 1995.

Lippmann RP. An Introduction to Computing with Neural Nets. IEEE Accost. Speech Signal Process. Mag. April 1987: 4-22p.

Norvig P, Russell SJ. Artificial intelligence: A modern approach. Applied Mechanics & Materials 2003; 263(5): 2829–2833p.

Brooks RA. Intelligence without representation. Artificial Intelligence. 1991; 47 (1-3): 139–159p.

Goldberg DE, Holland JH. Genetic algorithms and machine learning. Machine Learning. 1988; 3(2): 95–99p.

Chandrasekaran B. Generic tasks in knowledge-based reasoning: High-level building blocks for expert system design. IEEE Expert. 1986; 1(3): 23–30p.

Lecun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015; 521(7553): 436–444p.

Bolton W. Mechatronics electronic control systems in mechanical and electrical engineering. Fish Physiology & Biochemistry. 2009; 35(3): 385–398p.

Jack LB, Nandi AK. Fault detection using support vector machines and artificial neural networks, augmented by genetic algorithms. Mechanical Systems & Signal Processing. 2002; 16(2-3): 373–390p.

Siddique A, Yadava GS, Singh B. Applications of artificial intelligence techniques for induction machine stator fault diagnostics: Review. IEEE International Symposium on Diagnostics for Electric Machines. 2003; 49(3): 29–34p.

Wen WH. Application of artificial intelligence technology in mechanical and electronic engineering. Automation and Instrumentation. 2016; 2: 96–97p.


Refbacks

  • There are currently no refbacks.