HCL Predictive Maintenance Analytics solution helps a world-class manufacturer of aircrafts predict component failure and optimize service management
The client is a world-class manufacturer—designing, building and supporting safe, efficient and high performing aircrafts. They have operations in a wide range of countries, with design and manufacturing concentrated at a smaller number of plants. Safety and reliability are critical to their customers, and hence the client runs a large support network to respond rapidly to their service needs.
The sensors deployed on various on-board systems in an aircraft, produce a large data stream. It is used to generate alerts based on known thresholds and performance parameters. However, the analysis of the data stream is limited to a particular aircraft or even a part. This presents an opportunity to combine data sets from multiple sensors as well as integrate other data to create a more holistic view.
HCL was engaged to take data from its initial, relatively raw form through to the demonstration of actionable outcomes.
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