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overview

The Auxiliary Power Unit (APU) engine is an essential part of an aircraft. When the main engines stop working, the APU intervenes to supply the aircraft with electricity and pressure. It is therefore essential that it is always in an extremely good condition and that possible defects are detected early. 

Challenge 
How can we transform the data streams coming from the APU engine in a way and use them to detect defects early.

Solution

Predictive maintenance for aircraft engines

Hemisphere has developed a deep learning model for EPCOR that looks 280 flights ahead to detect errors. The model had an accuracy of 80% for certain types of defects. Resolving the defect early gives EPCOR a cost saving of 60%.
I was really impressed with the way Hemisphere handled everything. From the first call to everything in between they were very helpful and knowledgeable
Niels van Hofwegen - Program Manager bij EPCOR (Air France-KLM)
Niels van Hofwegen - Program Manager bij EPCOR (Air France-KLM)
Data

Data

APU sensor flight reports from thousands of flights from 80 unique aircraft
Technology

Technology

Keras DNN LSTM
Scope

Scope

Prototype, Test and Implementation
Planning

Planning

Realized in 5 months

Contact

Interested to know more about our services?

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Thomas Schijf
Founder Hemisphere

info@hemisphere.ai
+31 (0)6 140 31 885

Visiting address: 
Jaarbeursplein 6
3521AL Utrecht
The Netherlands

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