Thread Content
By definition, the basis of prediction lies in the collection of information; calculations are carried out using certain methods and patterns, which represents a processing of this information, with the results presented in an intuitive manner. This helps to overcome the limitations caused by blind spots, thereby enabling a comprehensive understanding of things and assisting us in making correct judgments. In the context of predictive maintenance for machines, the goal is to reduce unplanned downtime; the challenge lies in the accuracy of predictive diagnostics, while the foundation is the collection and analysis of data. So how exactly can it be predicted? What are the types of predictions? Those who know about it, let’s discuss together
First, you need to have several years of experience in diagnosing equipment failures. Otherwise, one can only rely on scheduled times to establish maintenance plans, as well as plans for minor, medium, and major repairs. There are always some signs before a device fails; it is necessary to strengthen inspections and keep records of the device’s performance, making comparisons on a daily and monthly basis to identify trends. This cannot be explained or covered in just a few words. Maintenance plans should be formulated based on the actual operating conditions of the device, as well as the scheduled times for minor, medium, and major maintenance. Replace repairs with maintenance. With proper maintenance, the maintenance rate can be reduced by more than half.