Seeking Solutions for Engine Fault Code Sequencing

Background / Description

A majority of the aircraft ramp turn back cases are due to engine faults. These faults are flagged out to the ground engineers in the form of fault codes in the maintenance messages coming from the aircraft condition monitoring system reports (ACMS). The engineer reviews this, and decides if and when a maintenance action is required. If it is a serious fault, the airplane is not allowed to take off until it is repaired. Otherwise, the repair can be scheduled for a later date and be carried out together with other routine maintenance tasks.

As the aircraft is a complex system comprising of many interconnected systems and sub-systems. The faults flagged out by the condition monitoring system could be indicating only symptoms of the underlying faults. It is important to have the engineers react to these faults. However, the root causes of these faults might not have been solved, and after a period of time, the same fault code could be issued by the aircraft condition monitoring system again. This would result in the wastage of resources, grounding of the aircraft or rescheduling of flights. In severe cases, resources have to be incurred to fly spares or engineers to carry out repairs on-site, all these incuring time and cost which could have been avoided.

It is of the view that by using data analytics and machine learning techniques, such faults could be predicted and detected early. This is so that the relevant corrective actions can be planned ahead and scheduled such that the suspected component, sub-systems are inspected, repaired or replaced at the next scheduled preventive maintenance cycle. This way, the airline would avoid or minimise the aircraft ramp turn back cases which are disruptive and costly.    

Technical Specifications

Rolls-Royce Singapore is seeking a software solution tool that is able to take in data (both live and historical) which will be made available by the company. The tool has to be able to carry out analytics on the data and identify faults as well as provide prediction of when the faults will likely arise and make recommendations for corrective actions to be taken.   

What are we looking for?

The prototype of the solution enables Rolls-Royce Engineers to:

  • Ingest live data
  • Make recommendations on repair actions and timeline based on current engine health
  • Make recommendations to repair possible related faults
  • Analyse occurrence of the types of faults
  • Show the % chance of a fault occurring in a period of time

What's in it for you?

  • Access to test data and domain expertise

  • Opportunity to demonstrate and validate solution in partnership with Rolls-Royce

  • Opportunity to co-develop predictive maintenance application with Rolls-Royce for aviation customers

Submit your proposal here.

Preferred Business Model

  • R&D Collaboration
  • Licensing
  • IP Acquisition
  • Business Collaboration (Joint Venture, Distribution)

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