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COLUMN ESPEN OLSEN



        Trends to Watch Out for in 2017



        How the two much discussed technologies - the

        Internet of Things (IoT) and augmented reality - will

        develop dramatically



             he civil aviation industry is one of the   The Internet of Flying Things
             most asset-intensive industries in the   To put this into context, the number of
             world.  With parts that are high-cost   detectable faults on a Boeing 767 in the
      Tand low in numbers, even the slightest   1980s was 9,000. Now, intelligent sensors on
        of improvements in asset functionality and   a Boeing 787 can detect 45,000 faults, five
        maintenance can yield significant cost and   times as many as 30 years ago. With AHMS,
        efficiency advantages.              data from one aircraft detecting a fault can
                                            be used to analyze an entire fleet for the
        Giving Fleets a Healthy Check-up    same problem.
        The civil aviation industry is booming.   The ROI from AHMS in  civil aviation is
        Aircraft fleets are set to triple by 2034 in   plain to see. The streamlining of maintenance
        the Asia-Pacific region, superseding both   operations and the almost instant reactions
        North America and Europe, while carriers   to faults that AHMS brings could drastically
        in the Middle East had the strongest annual   reduce the chance of aircraft on ground
        traffic growth in 2015.  The Internet of   (AOG) for airlines - the cost of which ranges
        Things  (IoT) market is  following this  lead.   between $10,000 and $150,000 for just a
        Gartner predicts there will be over 20 billion   couple of hours of downtime. This is a major
        connected ‘things’ in use by 2020, with total   benefit as most airlines need every possible
        spending topping $3 trillion globally.  piece of revenue from every single flight just   IoT and predictive maintenance allows
           These two together will drive the use of   to break even.            for better sharing of both operational and
        Aircraft Health Monitoring Systems (AHMS)   I predict we will see a rise in the number   maintenance experiences between airlines,
        in 2017. AHMS bring vast improvements in   of operators adopting AHMS, driven by   aircraft operators and 3rd party MROs,
        the utilization and analysis of big data to   affordable IoT-enabled sensors, powerful   enabling further cost reductions. By feeding
        enhance availability, reliability and safety of   data processing systems and machine   the data into the EAM or MRO solution, the
        aircraft, which in turn drives the take up of   learning - enabling airlines to make processes   parts can be sourced and the work schedules
        condition-based maintenance (CBM) projects   smarter and maintenance leaner.  of engineers changed - meaning potential
        to streamline MRO. An Oliver  Wyman MRO                                 down-time can be drastically reduced. But
        Survey reported that 63% of respondents  The Next Step                  airlines aren’t stopping there.
        from leading airlines said AHMS increased   Global MRO spend is anticipated to
        reliability, with 35% also saying that it helped   increase by 46% by 2026, driven by   Giving Maintenance a Healthy
        reduce maintenance costs.           a combination of growing passenger   Prescription
           The collection and analysis of data from   numbers and aircraft fleets. Because of   Prescriptive maintenance is the next
        IoT-enabled sensors constantly measuring   this, airlines are looking at the next step in   step  beyond simply predicting  the  status
        aircraft health and performance can consider   asset management, from condition-based   of an asset.  While predictive analytics
        factors such as speed, torque, vibrations   maintenance to predictive maintenance,   answer the ‘what will happen, when and
        and pressure data to pinpoint faults before   able to detect early signs of potential   why’, prescriptive goes one step further,
        they become a major problem and provide   failure and rectify matters before it   allowing operators to not only predict what
        actionable information to make better   impacts service delivery.       will happen, but offer ‘what if’ scenarios to
        informed and more focused maintenance   Picking out  the relevant data  patterns   show how each possible event will impact
        decisions.  These in turn could reduce   being fed back out of the myriad of   operations.
        cancellations, improve operational and   information  produced  through  IoT-  IoT data is fed back from the sensor into
        flight safety, reduce fuel consumption, help   enabled parts, will allow the true benefit of   the analytical system to optimally define
        identify rogue serial numbers  and enhance   scheduled maintenance to be extended into   the prescribed maintenance activities
        both passenger and crew experience.  every aspect of the MRO support chain.  based on the best outcome, in terms of
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