{"id":20011,"date":"2023-02-02T12:45:35","date_gmt":"2023-02-02T07:15:35","guid":{"rendered":"https:\/\/www.efacility.ae\/?p=20011"},"modified":"2023-02-27T10:09:44","modified_gmt":"2023-02-27T04:39:44","slug":"myth-facts-of-ai-ml-in-buildings-predictive-maintenance","status":"publish","type":"post","link":"https:\/\/efacility.ae\/wp-demo\/myth-facts-of-ai-ml-in-buildings-predictive-maintenance\/","title":{"rendered":"The Myth and Facts: Using AI\/ML in Buildings for Predictive Maintenance"},"content":{"rendered":"

Predictive maintenance enables building managers to take a more proactive approach to manage the operational health of a building\u2019s assets. It helps predict issues and prevent unexpected breakdowns to ensure there is no disruption in the functioning of critical equipment.<\/p>\n

Whenever there is a critical equipment failure in any facility, like the failure of a power transmission system, security systems failure or HVAC malfunction, etc., it can cause severe damage. The downtime can be expensive, a security threat, and may lead to loss of lives. Here is where Artificial Intelligence (AI) and Machine Learning (ML) technologies can come into play. AI\/ML can predict failures in advance, giving the maintenance teams time to address the same, thus helping avoid such damages.<\/p>\n

However, there is a misconception about the effective use of AI\/ML for predictive maintenance in buildings, so it is time to delve deeper to improve the understanding to make the best use of these technologies.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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What is Predictive Maintenance?<\/strong><\/h2><\/span>
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Predictive Maintenance, also known as condition-based maintenance, is a technique that uses data analysis tools to monitor asset\/equipment performance and applies AI\/ML logic to statistical models derived from historical & real-time data of the maintenance operations enabling facility managers to analyze and predict asset\/equipment failures that may occur in the future.<\/p>\n

It helps to determine the current equipment breakdowns and the expected remaining life of the assets. It allows the maintenance frequency to be lower while preventing unplanned reactive maintenance and minimises the equipment downtime and costs associated with preventative maintenance.<\/p>\n

All organizations want to overcome the risk of equipment failure and are aware of the cost incurred if preventive\/predictive measures are insufficient. If ignored, such negligence can lead to increased equipment downtime and maintenance costs.<\/p>\n

If promptly implemented, predictive maintenance systems will help anticipate a wide range of possible failures. Therefore, implementing Predictive Maintenance the right way enables organizations\/buildings\/facilities to:<\/p>\n