PHM (Prognostics and Health Management) is a data-driven approach to predicting, tracking and managing system health. It is increasingly being used in aerospace and other industries in order to improve system reliability and reduce maintenance costs. PHM technology can be used for predictive health monitoring for large, complex systems or for monitoring equipment that is critical to the business operations.
Rockwell Collins provides PHM solutions that are tailored to meet the specific needs of individual customers. These solutions use proprietary algorithms, modeling techniques and data analytics to provide customers with actionable insights into the health of their equipment. The goal is to make it easier to identify potential issues before they become operational problems. The solutions are designed to detect changes in the performance characteristics of equipment, detect faults and warn customers when a system malfunction is likely to occur.
To maximize the effectiveness of PHM, Rockwell Collins provides predictive analytics, prognostic algorithms and automated diagnostics. This solution uses sensor data, contextual information and system models to measure the health and performance of a system over time. This allows for the identification of any anomalies that may indicate an impending failure and provides the customer with enough time to take corrective actions and minimize downtime.
Rockwell Collins also uses advanced analytics tools and machine-learning algorithms to create health models that continuously monitor system health and to identify areas that need attention. This helps engineering teams to better understand the complexity of their system and makes it easier to identify potential problems before they become costly failures. Additionally, the solution provides predictive analytics that help customers anticipate future problems ahead of time and improve their understanding of the likely impacts.
The PHM solutions provided by Rockwell Collins make it easier for customers to manage the health and performance of their systems and reduce maintenance costs.