Ultrasound and Vibration analysis: two key elements of predictive maintenance
UE Systems Europe B.V.

Ultrasound and Vibration analysis: two key elements of predictive maintenance

Discover why combining ultrasound and vibration analysis is the ultimate strategy for achieving excellence in predictive maintenance.

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Ultrasound vs. vibration analysis is a common question, but the reality is that both technologies should be used together to achieve excellence in maintenance practices. Ultrasound provides the earliest warning of failure and is easy to use, as it trends decibel levels. Vibration analysis offers detailed insights into issues and their root causes. Think of ultrasound as the doctor identifying a problem, and vibration as the specialist diagnosing it.

For example, slow-speed bearings are hard to monitor because vibration sensors struggle to detect changes. High-end ultrasonic devices, however, can record and analyze sound spectra to identify faults even in slow-speed applications. Ultrasound also serves as a first line of defense, with a quicker learning curve compared to vibration analysis. By monitoring friction levels and comparing dB values, maintenance professionals can easily spot potential problems.

Ultrasound excels in lubrication tasks, ensuring bearings are neither under- nor over-lubricated by monitoring friction changes in real-time. As lubrication is applied, sound intensity and dB levels decrease, providing immediate feedback. If over-lubrication occurs, ultrasound detects the resulting friction increase, enabling adjustments.

Additionally, ultrasound is highly versatile, extending beyond mechanical equipment to applications like leak detection, steam trap inspections, and electrical assessments. This versatility makes it invaluable for energy savings and broader maintenance tasks.

In conclusion, it’s not about choosing between ultrasound and vibration but using both effectively. Together, these powerful technologies can elevate maintenance programs to excellence, ensuring comprehensive monitoring and problem-solving.