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Seeking predictive software solutions in engine fault code sequencing

Country of Origin: Singapore
Reference Number: TRSG20191202003
Publication Date: 2 December 2019


A Singapore-based MNE in aerospace engineering and manufacturing is seeking technological solutions in engine fault code sequencing. A majority of the aircraft ramp turn back cases are due to engine faults, which can be avoided with smart-enabled prediction and early detection. 

The MNE is interested in licensing or commercial agreements with technical assistance with startups and SMEs of all sizes.


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 incurring 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.

Potential partners of the Singapore-based MNE will gain access to test data and domain expertise, opportunities to demonstrate and validate solution in partnership with a leading global company and co-develop predictive maintenance applications for the MNE's aviation customers.

The MNE is keen to seek partnerships in licensing or commercial agreements with technical assistance with startups and SMEs of all sizes.

Expertise sought

The solution sought is a software tool that will be able to take in data (both live and historical), made available by the MNE. The tool should 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.   

The prototype of the solution will enable the company's 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 percentage chance of a fault occurring in a period of time

Stage Of Development

Available for demonstration

Stage Of Development Comment

At least a working prototype if not market ready.

Requested partner

The MNE is keen on the following types of partnerships with startups, SMEs or researchers of all sizes:

License agreement - The MNEs will license the technology offered by the SME/startup to further develop into products or services for its customers.

Commercial agreement with technical assistance - The startups/SME will render technical support to the MNE in introducing the technology in the form of new products or services to the MNE's customers.

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