SNA.C PUT IT ON YOUR RADARCivil aviation is one of the most asset-intensive industries in the world. With parts that are high-cost and low in numbers, even the slightest improvements in asset functionality and maintenance can yield significant cost and efficiency advantages. Two of the hottest and much-discussed technologies the Internet of Things (IoT) and augmented reality will develop dramatically during 2017 and start to unlock real benefits for civil aviation companies, including airlines and maintenance, repair, and overhaul (MRO) facilities. Three trends to watch in 2017 1. IoT driving take up of AHMS health checks and condition-based maintenance Giving fleets a healthy check-up The civil aviation industry is booming. Aircraft fleets are set to triple by 2034 in the Asia-Pacific region, superseding both North America and Europe, while carriers in the Middle East had the strongest annual traffic growth in 2015. The Internet of Things (IoT) market is following this trend: Gartner predicts over 20 billion connected things will be in use by 2020, with total spending topping $3 trillion globally. Together civil aviation and IoT will drive the use of the Aircraft Health Monitoring System (AHMS) in 2017. AHMS brings vast improvements in the utilization and analysis of big data to enhance availability, reliability and safety of aircraft, which in turn drives the take up of condition-based maintenance (CBM) projects to streamline maintenance, repair, and overhaul (MRO). An Oliver Wyman MRO survey reported that 63 percent of respondents from leading airlines said AHMS increased reliability, with 35 percent also saying that it helped reduce maintenance costs. The collection and analysis of data from IoT-enabled sensors constantly measuring aircraft health and performance can consider factors such as speed, torque, vibrations, and pressure data to pinpoint faults before they become a major problem and provide actionable information to make better informed and more focused maintenance decisions. These, in turn, could reduce cancellations, improve operational and flight safety, reduce fuel consumption, help identify rogue serial numbers, and enhance both passenger and crew experience. The Internet of Flying Things To put this into context, the number of detectable faults on a Boeing 767 in the 1980s was 9,000. Now, intelligent sensors on a Boeing 787 can detect 45,000 faults, five times as many as 30 years ago. With AHMS, data from one aircraft detecting a fault can be used to analyze an entire fleet for the same problem. The return on investment (ROI) from AHMS in civil aviation is plain to see. The streamlining of maintenance operations and the almost instant reactions to faults that AHMS brings could drastically reduce the chance of aircraft on ground (AOG) for airlines the cost of which ranges between $10,000 and $150,000 for just a couple hours of downtime. This is a major benefit as most airlines need every possible piece of revenue from every single flight just to stay out of the red. I predict we will see a rise in the number of operators adopting AHMS, driven by affordable IoT-enabled sensors, powerful data processing systems, and machine learning enabling airlines to make processes smarter and maintenance leaner. Predictive maintenance: handing engineers the crystal ball Global MRO spend is anticipated to increase 46 percent by 2026, driven by a combination of growing passenger numbers and aircraft fleets. Because of this, airlines are looking at the next step in asset management, from condition-based maintenance to predictive maintenance, able to detect early signs of potential failure and rectify matters before it impacts service delivery. Picking out the relevant data patterns being fed back out of the myriad information produced through IoT-enabled parts will allow the true benefit of scheduled maintenance to be extended into every aspect of the MRO support chain. IoT and predictive maintenance allows for better sharing of both operational and maintenance experiences between airlines, aircraft operators, and third-party MROs, enabling further cost reductions. By feeding the data into the executive aircraft maintenance (EAM) or MRO solution, the parts can be sourced and the work schedules of engineers optimized meaning potential down-time can be drastically reduced. But airlines arent stopping there. Giving maintenance a healthy prescription Prescriptive maintenance is the next step beyond simply predicting the status of an asset. While predictive analytics answer the what will happen, when, and why, prescriptive goes one step further, allowing operators to not only predict what will happen, but offer what if scenarios to show how each possible event will impact operations. IoT data is fed back from the sensor into the analytical system to optimally define the prescribed maintenance activities based on the best outcome, in terms of reliability and asset uptime. The main benefit is allowing airlines to know what they could do better in the future if they know an asset may fail, they want to know the most efficient way to reduce the failure rate while also achieving the most effective accomplishment of any rectification actions. Prescriptive analytics can guide maintenance engineers, with sequences of tasks to execute in order to isolate the issue, when is the right time to do the repair and the correct tools to use, helping reduce aircraft downtime. Prescriptive maintenance will revolutionize MRO. IDC predicts that 50 percent of all business analytics software will incorporate prescriptive capabilities by 2020. In the future, it wont be a bunch of engineers telling you how and when to repair an asset because the asset itself will tell you what it needs and how it needs it. The technology is still in the early stages of adoption in civil aviation, but watch this space as the technology starts to mature in 2017. Riding the technology wave New technologies and the digitization of services are creating big benefits for airline and MRO operators to streamline maintenance, reduce operating costs, and take full advantage of the skyrocketing air travel demand. Early adopters of these three trends will see operations completely transformed. Watch for these technologies in 2017.