Condition monitoring is the process of monitoring a parameter of condition in machinery, such that a significant change is indicative of a developing failure. It is a major component of predictive maintenance. The use of conditional monitoring allows maintenance to be scheduled, or other actions to be taken to avoid the consequences of failure, before the failure occurs. It is typically much more cost effective than allowing the machinery to fail. Serviceable machinery include rotating machines and stationary plant such as boilers and heat exchangers.
Usually a full spectrum of the vibration is sampled, and using fast Fourier algorithms the component frequencies and their accelerations may be determined. Analysing the frequencies and their harmonics helps locate the root cause of the vibration, allowing it to be remedied, and hopefully designed out. For example, high vibration at the frequency corresponding to the speed of rotation is usually due to unbalance.
Handheld data collector and analysers are now commonplace. The technician can collect data samples from a number of machines, then download the data into a base computer, which compares the latest sample with the previous ones and shows up any change.
Degrading rolling element bearings give out increasing vibration signals as they wear. Special analysis instruments can detect wear even months before failure, giving ample warning to schedule replacement.
It is quite difficult to understand.
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