{"id":749,"date":"2025-09-15T11:48:58","date_gmt":"2025-09-15T11:48:58","guid":{"rendered":"https:\/\/zephyrsys.us\/index.php\/2025\/09\/15\/pam-singapore-kicks-off\/"},"modified":"2025-09-15T11:48:58","modified_gmt":"2025-09-15T11:48:58","slug":"pam-singapore-kicks-off","status":"publish","type":"post","link":"https:\/\/zephyrsys.us\/index.php\/2025\/09\/15\/pam-singapore-kicks-off\/","title":{"rendered":"PAM Singapore kicks off"},"content":{"rendered":"
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The first APAC edition of the Predictive Aircraft Maintenance (PAM) conference in Singapore has commenced, welcoming delegates to the Marina Bay Sands convention centre.<\/em><\/strong><\/p>\n

Some of the sessions that took place today included:<\/p>\n

Nicholas Tan, VP of the Singapore Institute of Aerospace Engineers who presented about The Three Pillars of Predictive Maintenance Success. Nicholas shared that the gap isn\u2019t technology, it\u2019s integration and that working with existing workflows and human expertise remains the critical bottleneck for progress. Tan said: \u201cPredictive maintenance is not an IT project. It is a fundamental transformation of aviation. Let\u2019s foster this ecosystem and develop the talent required for aviation\u2019s future. Let\u2019s build this future, together.\u201d<\/p>\n

David Harper & Dermot O\u2019Hara from GE Aerospace explained different use cases including engine health monitoring and how AI can expand the number of conditions that can be monitored 24\u00d77, how GE\u2019s Diagnostic Engineers work closely with airline engineers to share regulatory insights to enable more efficient maintenance planning, advancing analytics with QAR data, and vision-enabled automated borescope inspection.<\/p>\n

The audience heard that predictive maintenance has promised transformation, yet adoption lags under the weight of complexity and mistrusted records \u2013 from Mahmoud El Sawah\u00a0\u2013 Founder\/CEO, AirNxt. In his talk, he explored how living digital twins can rebuild trust, cut through operational noise, and prove that in aviation\u2019s next flight plan, simplicity wins.<\/p>\n

A panel discussion at the event examined how Asia-Pacific airlines are advancing the use of predictive maintenance, highlighting that the era of \u2018recreational maintenance\u2019 is being left behind as the industry sees measurable, data-driven gains.<\/p>\n

Joan Ng of Singapore Airlines stressed the importance of collaboration and data capture: \u201cAs an airline we have our own predictive maintenance needs, so collaboration industry-wide in terms of understanding standards is crucial. Full flight data and using Skywise is our focus, making sure we can capture as much data as possible across as many aircraft components as possible. Working closely with our partners helps us keep on top of our goals in predictive maintenance. We use an in-house developed AI application to support overall maintenance activities across several areas, and we expect to expand this use.\u201d<\/p>\n

Nithia Kumar of Malaysia Airlines emphasised the value of data from new-generation aircraft: \u201cNew generation aircraft are data-rich, so it is important for predictive maintenance to enter the industry to drive efficiency and keep aircraft flying. Our focus is leveraging the data from our sensors, so we need to understand how the industry can really help us harness that insight.\u201d<\/p>\n

Mark Mazarek of Boeing pointed to growth opportunities and the need for supply chain alignment: \u201cThe more airlines and aircraft are entering the region, the more scope and potential there is to push predictive maintenance forward. Supply chain and parts providers need to incorporate new technology too, to ensure they keep up with the efficiency the industry is seeing. Predictive maintenance is all about sharing developments and how the journey is for different airlines \u2013 the more collaboration the better. I am very optimistic about the use of AI in the industry, especially with data cleansing. There are a lot of opportunities, and we are looking at more ways we can use AI to open up more efficiencies for airlines.\u201d<\/p>\n

Jaemin and Jonghoon Oh from Korean Air \u00a0presented how the airline is moving from theory to a fully operational in-house predictive maintenance programme. Its \u2018Smart MRO\u2019 strategy represents a future-oriented approach that goes beyond fault response to a proactive, data-driven model. The airline identified several keys to success, including data access and resource support, the importance of dedicated teams: with clear roles and responsibilities and collaboration: working closely with OEMs and other airlines.<\/p>\n

Other highlights from the event included:<\/h5>\n