Looking Ahead: Predictive Maintenance

Looking Ahead: Predictive Maintenance

Even with preventative maintenance being the gold standard across most industries, some are now looking into predictive maintenance and its capabilities.
 
For starters, predictive maintenance is not designed around experience and time, but rather documented impact of production on the equipment. It’s also being touted as a data-driven method for managing routine equipment maintenance to maximize production and efficiency while ensuring ideal operation and reliability of equipment.
 
This new approach has the potential to be a game-changer when it comes to optimizing maintenance, production and cost-efficiency. Additionally, it has the potential to provide a more reliable method to detect and prevent potential failures.
 
For example, in 2016, Delta Airlines became the launch customer for an Airbus-developed digital maintenance prognostics solution. The web-based application, developed in partnership with IBM, will be applied to the airline’s Airbus A330 fleet, allowing the carrier to maximize aircraft turnarounds and turn unscheduled maintenance events into anticipated and scheduled ones. Additionally, prognostic alerting will allow Delta’s engineers and maintenance teams to detect in advance failures on components and systems to mitigate possible operational interruptions.
 
Similarly, predictive maintenance solutions are also being developed for other industries – using sensor data to predict the failure of an ATM cash withdrawal transaction, predicting the failures of circuit boards at early stages in the manufacturing process and predicting credit defaults.
 
Using actuarial intelligence from a global services provider allows for:
• connectivity
• real-time monitoring
• analytics
• historical data

Download this whitepaper to learn more about the value of preventative maintenance.

Author

Nabeel Jaitapker, M.A.
Senior Marketing Manager of Content Development and Demand Generation at Bell and Howell. Connect with Nabeel on LinkedIn.

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