This is the first post of a seven-part series where we will be diving in on depth on predictive maintenance. This first post will be an introduction of the topic and will go through what predictive maintenance is and how it can help you better plan for equipment maintenance and reduce costs in the process. This is particularly targeted to reliability engineers, asset managers, maintenance engineers and anyone who needs to ensure that the equipment is maintained and serviced at the right time, as well as anyone who gets affected by equipment failures.
Equipment in multiple industries often fails suddenly without warning, which can lead to high maintenance costs and unexpected downtime. Predictive maintenance can aid in predicting beforehand when equipment failure might happen. This helps extend the lifespan of your equipment, lower maintenance costs and improve equipment availability. This video explains different maintenance strategies and walks you through a workflow for developing a predictive maintenance algorithm.
In the next post we will discuss Feature Extraction for Identifying Condition Indicators.
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