Failure Diagnostics using XAI – FD XAI
What if we can tell you, how your component or system is going to fail, before it fails? Does it help you with your troubleshooting? Or does it help you with your repair planning or to scope repairs if you preventively removed a working component?
Component failures can be difficult to troubleshoot on the line and in the shop. It may lead to premature removals and no-fault-founds. You need a tool that tells you how a component or system is going to fail, before it fails. NLR offers a tool FD XAI, Failure Diagnosis using eXplainable Artificial Intelligence, that does just that.
Aircraft technicians troubleshooting a component or system on the line and in the shop don’t have much information at hand. It is often difficult to look back at earlier maintenance events and it is virtually impossible to understand how it was used.
What aircraft technicians need is a diagnosis identifying the probable failure mode of the component or system for troubleshooting.
And if you remove components based on predictive indicators, the shop technicians will receive serviceable components at the point of failure. These components probably pass the bench check. Shop technicians will need a diagnosis identifying the probable failure mode if you want to avoid a full overhaul.
NLR develops a new tool to diagnose failures using Artificial Intelligence. It is a clever piece of software that looks at the failure modes of previous repairs and the aircraft usage.
We use Artificial Intelligence to determine the relation between aircraft and system usage and the actual failure modes of repaired parts. We can use these relationships to diagnose components or systems and identify the failure modes.
The trust in the results of computerized diagnoses is highly dependent on the transparency of the analyses. To make the outcomes of failure diagnoses acceptable for maintenance personnel, the algorithms use eXplainable Artificial Intelligence.
FD XAI not only identifies the failure modes, it also explains why a specific failure mode occurs (and not another failure mode). The explanation helps maintenance personnel understand the diagnosis, and troubleshoot failures on the line and in the shop.
Failure diagnoses using eXplainable Artificial Intelligence can be performed before a part actually fails. This means that it is a useful tool to determine the failure mode of parts removed in serviceable condition based on predictive indicators. It helps the shops to repair these parts and it reduces no-fault-founds.
NLR offers a tool FD XAI that tells you how a component or system is going to fail, before it fails. It helps technicians to troubleshoot components and systems on the line and in the shop. It reduces premature removals and no-fault-founds.
And it is a great help for components removed in serviceable condition based on predictive indicators. FD XAI makes is possible to repair these components with surgical precision, avoiding costly overhauls.
If you are maintaining aircraft or if you are looking for innovative maintenance technologies to improve the availability of your aircraft or to reduce costs, NLR can support you with standard and tailored solutions, aimed at civil and military maintenance organisations, operators and Original Equipment Manufacturers.