Adapting a predictive maintenance strategy requires an understanding of how and why asset failure occurs and identifying the warning signs of potential problems or failure. Unique to Carrier Transicold’s platform, reefer health analytics help to identify potential service needs in advance so they can be addressed at the fleet’s convenience, allowing for pre-emptive corrective actions, improved productivity, optimized efficiency, reduced M&R costs and increased asset life.
Predictive maintenance is not to be confused with preventive maintenance because it relies on the actual condition of the reefer, rather than average or expected life statistics, to predict when maintenance will be required. Lynx™ Fleet applies machine learning and analytics technology to forecast reefer future states.
Visit Carrier’s website and see how Lynx™ Fleet is able to deliver real-time insights to help you make critical timely decisions.
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