Fault Detection of Cylinder- head automotive Using Mechanical Waves and Intelligent Techniques

Subject Areas : Vibration Transmision

Mojtaba  Doustmohammadi ¹ (Department of Mechanical Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran)
Morteza  Mohammadzaheri ² (Department of Mechanical Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran)
Ehsan  Jamshidi ³ (Department of Mechanical Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran)

Received: 2015-08-29 Accepted : 2015-08-29 Published : 2012-11-21

Keywords: Artificial Neural Network, Finite Element, Fault Detection, Modal testing, Cylinder-head,

Abstract :

Safety of machinery parts, it is important for users and defects as one of the most important parts of threats to the health of the pieces have always been considered. In this paper, a new method based on the use of artificial neural networkDetection Pridecylinder head into mechanical waves is presented. Then, for verification and validation of the finite element model , modal test piece , and after confirming the fault simulation is performed on a finite element model. Force simulation model (FEM) acceleration signal - the healthy and faulty models calculated for each fault. And with the signing of mechanical defects ( acceleration difference between healthy and faulty models ) and to train a multilayer perceptron neural network (MLP) , the difference between the acceleration signal to the associated fault location. Detectionautomotive cylinder head (estimated fault location) has been. The results of the neural network capabilities designed to estimate the fault location on a good show.