The manufacturing industry increasingly uses predictive maintenance regimes to keep tabs on machine health to detect system problems as early as possible. Vibration monitoring is a vital part of this. Its affordability, accuracy and ease of use means it can be widely used to monitor industrial machinery. Maintenance staff are generally familiar with vibration monitoring. They are comfortable taking readings and know what to do if conditions stray outside operating parameters. However, the conditions that cause vibration to arise in the first place are less understood. In a machine diagnosis context, vibration is the motion of a mechanical part when it strays outside its natural position. When a bearing begins to wear, for instance, this affects its motion along the raceway. At some point, it will become loud enough to hear. But the problem can be discovered much earlier with vibration monitoring.
Monitoring vibration as part of predictive maintenance can uncover problems sooner.
Hansford Sensors
10/17/2018
Image 1. Damaged bearing (Images courtesy of Hansford Sensors)
Vibration can cause untold harm to industrial machinery. What starts as an increased load on bearings can escalate into component fatigue and reduced equipment efficiency. At its worst, it can mean catastrophic failure, expensive repairs and extensive downtime.
Image 2. Vibration monitoring can flag a potential component failure at the earliest opportunity.
The amplitude of the vibration describes the extent of the defect in a particular component. The elements of the amplitude are its displacement, velocity and acceleration. The greater these are, the more severe the problem, and the louder or more vigorous the vibration.
The phase describes how the component is rotating in comparison to the norm. Knowing how far from the norm will be vital when rebalancing or adjusting the system.
For rotating elements, it is described in terms of an angular difference between expected performance and the actual conditions. Phase also describes how the component deviates from standard conditions. It can differentiate between a shaft centerline moving up and down in a planar or rocking fashion, for example.
Image 3. Misalignment-vibration monitoring signature
Mechanical looseness occurs when rotating components have been fitted incorrectly. A number of running speed harmonics will dominate spectral data (i.e., 1-10 x rotational speed). In some cases (and stages of deterioration), spectral data may also show subharmonic multiples of 1/2 x rotational speed.
All three conditions can cause machine failure and blight production. However, they can be detected early—thanks to vibration monitoring—and are easy to correct.