The Experimental Analysis of Vibration Monitoring in System Rotor Dynamic with Validate Results Using Simulation Data

Abstract EN

There is a growing tendency today to extract information about the prognostic parameters based on system analysis through various diagnostic techniques to assess the health of the plant or equipment.

Vibration monitoring helps in reducing the machine down time.

A vibration signature measured at the external surface of machine or at any other suitable place contains a good amount of information to reveal the running condition of the machine.

Considering the importance of vibration monitoring in the rotating machinery fault diagnostics, it has been applied in this paper.

Effects of modal parameters like natural frequency, mode shapes, and damping, misalignments have been studied.

Balancing is usually an expensive and laborious procedure and a balancing system would be beneficial for motor engine and power generation application.

In this research, there have been identified unbalance parameters that exist in rotating machinery and develop a finite-element model of rotating dynamics system to create a mathematical model of the system from the test data and subsequently obtaining the unbalanced parameters.

During this study, the raw data obtained from the experimental results (Smart Office software) are curve fitted by theoretical data regenerated from simulating it using finite element (ANSYS 12) model for comparisons.

The experimental analysis used thus far is called Modal Testing, a well-known and widely used technique in research and industry to obtain the Modal and Dynamic response properties of structures.

The technique has recently been applied to rotating structures and some research papers been published, however, the full implementation of Modal Testing in active structures and the implications are not fully understood and are therefore in need of much further and more in-depth investigations.

The aim is to find a system identification methodology using the analytical/computational techniques and update the model using experimental techniques already established for passive structures but to active rotating structures, which subsequently help to carry out health monitoring as well as further design and development in rotating machinery.