b'Partner News Summer 2023 29CorporateThe benefit to our technical teams, in charge of maintenance and continuous improvement, is evident in their ability to accurately repair equipment without the long-winded approach of fault finding and condition scoring. This alone brings dividends in their engagement in the fault repair process and the delivery of a more intuitive predictive maintenance program. The possibilities are limitless, whether prediction or shorter fault-finding processes, the ability to forecast accurately resources, allows better use of the Technicians time, and greater flexibility in deployment. The benefit in inventory control and stock holding can also be realised, releasing storage and spend for other purposes.Assisting TechniciansThe plethora of networkable devices and sensors and techniques derived from machine learning has allowed the technician an unrivalled ability to interrogate systems at a level not seen before. Whether itss Electrical Signature Analysis (ESA), condition monitoring, or datamining; the option of AI learning and assumption building has exposed the predictive nature that can be adopted by the technician to further Preventative orenhance their diagnostic skills.This enables a pathway of technical and professional development, pushing the limits of their current knowledge, and allowing adaptation to new techniques and skills Predictive?necessary to navigate the new maintenance world that is emerging. Using the data, AI prediction, Technicians knowledge, and by applying the new suite of forecasts, the new maintenance world is emerging at London Stansted Airport. So preventative is the old world, predictive is the way forward in building a first-class service to our many By Stansted Airport stakeholders and customers.Learning from AIMoving forward with either a Total Why? Thats the biggest question askedover inventory, and a more effective way ofProductive Maintenance (TPM) system, or a when talking about the move to predictiveresourcing the maintenance activity. Condition Based Maintenance (CBM), or a based maintenance with an increase in costshybrid version of both can be fully achieved to switch from one program to another andAt London Stansted Airport we are constantlywith the adoption of AI technology and implementing new technologies to assist inlooking for new ways to innovate, allowingits prediction-based alerting. This further the development of a prediction model.a tighter control on costs, but deliveringre-enforces the innovation driven by the a first-class maintenance solution for ourairport to add value to this asset base and However, this is probably the easiestcustomers and stakeholders. With the adventtechnical teams. No doubt there will be question to answer; the why is that theof new Artificial Intelligence (AI) being readilygaps that appear, but with robust feedback need to control costs and resource isavailable and accessible, allowing open-sourceand the ability to allow the AI to learn ever present in modern Airports, thusdevelopment; the ability to bring on board IoTdirectly, the power of prediction outweighs implementing a Predictive Maintenancesensors and machine learning has brought thethe old way of executing a preventative model will allow more effective cost controlprediction model forward to a viable option.maintenance system.'