Analytics lead to root cause and reduce risk at Rolls-Royce.

Abnormal wear on critical components was causing a significant impact to safety, warranty and liability risks to customers. Incumbent software could not effectively process or model the potential root causes. Integration with IT systems was lacking, which extended resolution times.

QiO Foresight Maintenance® ingested data from relevant sensors and equipment event data, resulting in thousands of gigabytes of data. A combination of the data and deep domain knowledge led to a predictive model on the behaviour and operation of the component. The solution was developed in weeks, identifying incorrect operator behaviour in the use of the equipment. This led to a policy review and training bulletin to equipment operators, mitigating potential losses in operations and maintenance and warranty claims.


What is causing abnormal equipment wear?


  • Fast root-cause identification
  • Mitigated risk