Our Research and Development department has been established in 2016. The main goal of this department is working on projects about condition monitoring and fault diagnosis of rotating machinery. The projects are based on both model-based and experiment-based approach. Below is a photo of our test rig (machine fault simulator):
We are currently work on a project about mechanical looseness as below.
Theoretical & Experimental Study of Three Different Types of Mechanical Looseness in Rotating Machinery and Proposing Some Methods for Fault Diagnostics and Fault Separation
Condition monitoring is widely used in industrial plant as a tool for fault diagnosis and early detection of machinery problems. By this way it is possible to optimize the maintenance decisions and to provide a base for solving machinery problems at their roots. Vibration analysis is one of the best techniques for machinery condition monitoring and fault diagnosis. Although this technique has been used for several decades, there are still some difficulties for diagnosing some faults such as mechanical looseness. It is difficult to distinguish between different types of looseness or to distinguish between looseness and some other faults such as rubbing or to determine the location of looseness and its severity. Although some research works have been done on this subject, there are still a lot of opportunities for doing research in this field.
The main purpose of this research is to evaluate the vibrational behavior of three different kind of mechanical looseness that are:
- Looseness in structure, such as looseness in foundation, base plate, etc
- Looseness in bearing pedestal
- Looseness in rotating elements, such as looseness in disc, coupling, bearing, etc
To achieve this goal, both theoretical and experimental works are to be done. In theoretical work, any available model will be studied and in addition to compare them with each other, improving the current models or even developing new models will be considered. In experimental work, a lot of organized tests will be planned to run on a test rig to cover any possible situation related to looseness including looseness type, location, severity, etc. In both theoretical and experimental work, using different techniques of signal processing in time domain, frequency domain and time-frequency domain and also using different analysis tools such as bifurcation plot, Poincare map, etc will be considered.
One of the main goals of this research is to develop some methods for fault diagnosis and also fault separation of different kinds of mechanical looseness. This goal will be achieved by studying and extracting different features from the system responses in different looseness situations.