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KMbalancer II+ Vibration Analyzer And Balancer Efficiently Maintains The Health Of CT Machines!

There are often complex reasons behind poor dynamic balance. It may be caused by wear of mechanical parts, insufficient lubrication, control system failure, or sensor signal distortion. If CT machine has poor dynamic balance, the impact will be even greater! When the CT equipment has poor motor balance, it may cause a series of chain reactions such as increased vibration, increased noise, and blurred images. This will not only reduce scanning efficiency and prolong patient examination time, but may also lead to misdiagnosis or missed diagnosis due to substandard image quality, posing potential risks to the patient's health.

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Calibrating the poor balance of CT motors with a dynamic balancer is an effective way to solve the vibration problem of rotating machine. KM engineers use KMbalancer II+ vibration analyzer and balancer to help medical industry customers perform dynamic balance calibration. First, the imbalance of the CT machine and its distribution location need to be determined, which is usually done by installing a sensor on the rotating axis. The sensor can capture vibration signals in real time and convert them into digital data for analysis by the balancer. After receiving this data, the dynamic balancer will use advanced algorithms to quickly calculate the weight and position of the counterweight to be added. In order to ensure the long-term effect of the correction, technicians also need to pay enough attention to the daily maintenance of the CT machine. Regularly checking the wear of rotating parts and replacing aging or damaged parts in time are effective measures to prevent the imbalance problem from happening again.

KMbalancer II

With the continuous advancement of technology, modern balancing instruments have achieved a high degree of automation and intelligence. They can not only complete the calibration tasks quickly and accurately, but also provide technicians with rich data analysis reports to help them better understand the operating status of the equipment and make more scientific maintenance decisions.

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