Predictive maintenance using artificial intelligence (AI) and big data is a hot topic in aerospace, as airlines, airports, and engineers all strive to reduce downtime and optimise infrastructure efficiency.
For many, however, implementing predictive maintenance technology remains stuck in the development stages. In an exclusive interview, Kaire Kalve, Head of Supply Chain at Magnetic Group, told Aerospace Tech Review what needs to change for successful predictive MRO adoption.
Different parties and operators all have their own data, so the key challenge here is actually trust.
Kalve discusses why mutual incentives are critical to breaking down barriers across the industry and eliminating data silos. If this isn’t done, predictive maintenance is slow to implement and less effective: the more data you can feed a model, the more accurate it will be.
The key here is operators. They should take the initiative as they have the most valuable data.
Industrywide collaboration will be essential to realising the benefits of predictive maintenance, and events such as Aerospace Tech Week play an important role in developing new partnerships.
The future of maintenance is truly collaborative and based on transparent agreements for data sharing.
🎥Watch the video below to hear Kaire’s full insights on collaboration in predictive maintenance.
Questions asked include:
- Predictive maintenance is widely discussed, but we’re yet to see its widespread implementation. What’s holding the industry back?
- Predictive maintenance relies heavily on data. Who in the industry has the most important data, so to speak?
- Why are events such as Aerospace Tech Week so important?
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