Predictive Maintenance & Condition Monitoring Solutions

 

Maintenance and Condition Monitoring

Maintenance has for a long time been carried out based on a predetermined interval mostly following a predetermined criterion. Condition monitoring has also been based on periodic inspections. The emergence of smart factories is rapidly changing maintenance and condition monitoring practices.





Smart factories embrace predictive maintenance that enables users to accurately anticipate when machine maintenance will be due. Predictive maintenance and conditioning monitoring enable manufacturers to improve productivity while reducing the time wasted and costs incurred.

Predictive Maintenance & Condition Monitoring

Condition Monitoring

This involves monitoring of parameters like the equipment vibration and temperature. This will help in identifying potential issues like misalignments or bearing failures. Condition monitoring is critical in mapping equipment degradation. Vibration analysis captures the change in the harmonic frequency of rotating equipment components. Frequency analysis can be derived from Vibrometer and microphone data.  Continuous condition monitor can be implemented on various equipment like pumps, spindles motors, and compressors. It can also be applied in the identification of partial discharge on machine or vacuum leaks.

Predictive maintenance

Predictive maintenance relies on condition monitoring, classification algorithm, and abnormality detection. It also integrates productive models that can use the detected abnormalities to estimate the remaining machine runtime. Predictive maintenance employs a wide range of tools like machine learning and statistical analysis to predict the status of equipment.

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