Predictive Maintenance

Predictive Maintenance is a technique that uses data analysis tools and machine learning algorithms to predict when a machine or equipment is likely to fail, and then schedule maintenance accordingly. This approach helps to reduce downtime and maintenance costs, as well as improve safety and reliability of the equipment. Predictive maintenance involves collecting and analyzing data from various sources, such as sensors, historical maintenance records, and environmental conditions, to identify patterns and anomalies that may indicate a potential failure. By using this information, maintenance teams can proactively schedule maintenance activities, such as replacing a worn-out part or cleaning a clogged filter, before a failure occurs. This approach is particularly useful in the space and astronautical engineering context, where equipment failure can have serious consequences and where maintenance activities are often difficult and costly to perform.
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