The condition monitoring service specialists at Tavator have a long history of providing vibration monitoring and troubleshooting services across various process industries. Services are offered either through annual contracts for monitoring all machines in a factory or on a case-by-case basis for specific troubleshooting needs. The use of powerful equipment and techniques in vibration condition monitoring, combined with over thirty years of experience in monitoring and diagnosing various machines such as turbines, generators, compressors, electric motors, fans, etc., has given Tavator a strong reputation.

Special techniques for bearing orbits and machine motion dynamics are unique tools used alongside other common techniques to achieve fast and accurate analyses by our experts.

In implementing these condition monitoring services, Tavator Sepahan’s hardware and software products are utilized. These tools are designed and developed by Tavator based on the needs of the company’s experienced specialists to achieve high-quality and precise analyses.

What is Vibration Condition Monitoring?

In simple terms, condition monitoring refers to the periodic observation of the behavior of an asset. This asset can be either a rotating equipment or a stationary mechanical or non-mechanical device. Rotating equipment exhibits diverse behaviors, among which vibration behavior is particularly important. Various faults in rotating machines, such as imbalance, misalignment, out-of-center conditions, looseness, gear failure, ball bearing issues, journal bearing problems, belt faults, electrical failures, etc., can all lead to machine vibrations. As long as these faults remain within acceptable tolerance levels, the resultant vibrations will also be considered acceptable. Therefore, standards such as ISO 20816 provide specific thresholds for different machines.

Periodic vibration measurements using various techniques can help us determine the condition of a rotating machine. In a process plant, by measuring and tracking the changes in these readings—such as once a month—we can reveal three key facts:

1. Whether the machine is operating healthily or not.

2. If the machine is in a state of failure, how long it will take for the vibration levels to reach their maximum allowable limits.

3. What the cause of the failure is.

With this information, we can predict the machine’s condition and plan the most efficient maintenance process to achieve the lowest costs, minimal downtime, and the most reliable repair outcomes. This approach is known as Predictive Maintenance (PdM).