Condition monitoring service specialists in Twatar have a long history in providing condition monitoring and vibration troubleshooting services in various process industries. It is possible to provide services in the form of annual contracts for monitoring the entire machines of a factory or on a case-by-case basis for specific troubleshooting. The use of powerful equipment and techniques in monitoring the state of vibration, along with more than thirty years of experience in monitoring and troubleshooting various machines, turbines, generators, compressors, electric motors, fans, etc., has provided a special reputation for Tavator.
The special techniques of bearing orbit and dynamics of machine movement are special tools that are used by our experts to achieve quick and accurate analysis, along with other common techniques.
In the implementation of this condition monitoring service, hardware equipment and production software of Tavator Sepahan are used. This equipment has been designed and developed by Tavator based on the needs of the experienced experts of this company to achieve high quality and accurate analysis.

What is vibration condition monitoring?

In simple words, situation monitoring means periodically monitoring the behavior of a capital. This capital can be a rotating equipment or a mechanical or non-mechanical fixed equipment. Rotating equipment shows a variety of behavior, among which the vibration behavior has very important characteristics. Various defects in rotating machines, such as imbalance, misalignment, off-center, looseness, gear failure, bearing, journal bearing, belt, electrical failure, etc., can all cause the machine to vibrate. As long as these defects are within acceptable tolerances, the vibration caused by them is also acceptable. Therefore, standards such as ISO 20816 have provided the values of these limits for different machines.

Periodic measurements of vibration with different techniques can determine the state of a rotating machine for us. In a process factory, by measuring and tracking the changes of these measurements, for example, once every month, three facts are revealed to us.

First, whether the car is in good condition or not.
Second, if the car is in the breakdown process, how long will the vibration range reach its maximum permissible value and
Third, what is the cause of failure.
With this information, the condition of the car can be predicted and the best and most effective repair process can be planned to achieve the lowest cost, the shortest downtime of the car, and the most reliable repair result. Therefore, this predictive maintenance is called Predictive Maintenance (PdM).