Leveraging Health and Usage Monitoring Systems (HUMS) for Enhancing Aircraft Serviceability
Project Description
Modern aircrafts have a Health and Usage Monitoring System (HUMS) which captures hundreds of parameters related to flight profile, vibration, engine and gear box performance, hydraulics etc. Analysis of this data using modern ‘Big data’ analytics can yield the following benefits:-
- Identifying trends in behaviour/ performance of aircraft systems and components
- Forecasting failures before they occur and taking remedial measures (predictive Maintenance)
- Review the periodicity of servicing/ overhaul of aircraft components (adaptive maintenance)
Project Awarded To
Smart Machines and Structures
Company Profile :
We work on the field of predictive maintenance using artificial intelligence. Predictive maintenance involves condition based monitoring using vibration and other parameters, and a understanding of vibration theory and rotordynamics is critical to building a good health monitoring system. The founder of Smart Machines and Structures (SMS), Mr. Srinivas Aluri has over 20 years experience in structural health monitoring and rotordynamics. He has developed a laser based automatic sensor system for the US Army while working as an Engineering Scientist at West Virginia University, USA. Later on, he worked on design of Aircraft Engines for rotordynamics at GE Aviation, USA.
With that background, he has founded the company to work on solutions for predictive maintenance and health monitoring systems. Recently, we worked on building a predictive maintenance solution using AI algorithms to identify and classify different types of failures in the machinery.