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Trends taking off in civil aviation MRO in 2017

Posted 16 January 2017 · Add Comment

Espen Olsen, Business Development and Sales for Aerospace & Defence at IFS, examines three trends impacting civil aviation MRO markets this year.

Two 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, whilst the lack of MRO capabilities in Asia Pacific may hinder demand for new aircraft across the region.

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 lead. Gartner predicts there will be over 20 billion connected ‘things’ in use by 2020, with total spending topping £3 trillion globally.

These two together will drive the use of Aircraft Health Monitoring Systems (AHMS) in 2017. AHMS bring vast improvements in the utilisation 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 MRO. An Oliver Wyman MRO Survey reported that 63% of respondents from leading airlines said AHMS increased reliability, with 35% 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. 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 analyse an entire fleet for the same problem.

The 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 of hours of downtime. This is a major benefit as most airlines need every possible piece of revenue from every single flight just to break even.

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.

2. The next step: Not just predicting maintenance but prescribing the solution

Predictive maintenance: Handing engineers the crystal ball
Global MRO spend is anticipated to increase by 46% 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 from the myriad of information produced by 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 3rd party MROs, enabling further cost reductions. By feeding the data into the EAM or MRO solution, the parts can be sourced and the work schedules of engineers changed - meaning potential down-time can be drastically reduced. But airlines aren’t 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 of this 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 effect accomplishment of any rectification actions. Prescriptive analytics can guide maintenance engineers, with sequences of tasks to execute in order to isolate the issue, find when the right time to do the repair is and the correct tools to use - helping reduce aircraft downtime.

Prescriptive maintenance will revolutionise MRO. IDC predicts that 50% of all business analytics software will incorporate prescriptive capabilities by 2020 In the future, it won’t 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.

3. Resource shortages hindering growth in Asia-Pac

The demand is there but is the support?
Airbus forecasts a need for over 33,000 new aircraft globally by 2035, largely driven by the rising demand in the Asia-Pacific. However, this rapid expansion has the potential to be hindered due to a lack of MRO capacity, lack of indigenous training capabilities and lack of skilled workforce in the region. More passengers mean more planes needed to carry them - more planes mean more maintenance.

There is currently a shortage of fully-qualified, trained and certified maintenance personnel to meet the needs of this growing market. Boeing predicts that the aviation industry will need over 600,000 new maintenance technicians globally in the next 20 years as current personnel retire, with much of this demand coming from Asia-Pac.

Meeting this demand and matching the requirements of the next generation of maintenance workers will take innovative solutions, including new technologies and training methods.

AR/VR preparing the worker of the future
Experienced aircraft engineers are proving to be few and far between. It currently takes up to 8 years for a maintenance worker to pass stringent training tests and become fully licensed, time that the aviation industry cannot wait for. Airlines and MRO operators in the APAC have avoided this by hiring in personnel from other countries, but this is proving to be a significant cost challenge.

Augmented reality is emerging to help bridge this gap - a cost- and time-friendly solution which provides expertise on demand from any location, no matter how remote. Companies such as XMReality have developed a telepresence and data transmission solution that connects onsite operators with a technical expert anywhere in the world, in real-time, giving maintenance workers in remote locations access to a virtual pair of expert eyes and hands to guide them through complex tasks.

I expect we will see a sharp increase in adoption in APAC as the technology fully matures to plug this resource shortage gap.

Riding the technology wave
New technologies and the digitisation 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 out for these technologies coming to MRO near you in 2017.

 

 

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