What is predictive maintenance?

maintenance costs are one of the largest factors that affect the budget of the race. Attempts to reduce these costs have led to the development of several maintenance strategies. Predictive maintenance is a strategy of defect inspection, which uses indicators to prepare for future problems.

One of the main mistakes with predictive maintenance is that it is often confused with preventive maintenance, which consists of preliminary routine measures used to prevent major problems. In order to better understand predictive maintenance, it is best to draw the contrast between it and preventive maintenance, which is often a widely recognized term.

Preventive maintenance includes a regular, pre -planned service. For example, the machine can be closed every month to replace and replenish the fluids. Then, every six months, it may be closed to be replaced by its belts. This is done in the hope that the main problems associated with liquids and belts do not occur.

predictive maintenance, for contrary, generally includes attentionor. Notes are made indicators that can indicate greater problems. For example, the machine can be regularly checked. If abnormal fluid leakage or moisture accumulation is detected, it is a signal that some major problem may grow.

Another big difference between the two maintenance strategies is that preventive maintenance may be possible while the device is in operation. In most cases, however, the device must be closed for a period of time. Predictive maintenance almost always includes the evaluation that is carried out while the device works normally. Generally, the inspection causes the inspection to be unnecessary or inaccurate if the machine is assessed in terms of defects while it is closed or reduced its capacity.

predictive maintenance does not rely on hunchy and intuition. It does not rely on industry statistics, such as those who say Piece equipment must have a specific service at the specified intervals.Predictive maintenance relies on real signals demonstrated by a single and specific device.

This may include comparison of statistics for indications of the imminent problem. It is generally reported that one of the most expensive errors in the industrial environment is not to record and analyze data, such as equipment performance and heat distribution. The numbers that represent an optimally operating piece of equipment are excellent indicators compared to numbers that are drastically different. If the box cuts 30,000 boxes every month for one year and can only reduce only 20,000, this should be considered a signal.