materials & manufacturing research areas
The Complex Systems Engineering & Monitoring Applications Engineering Department’s primary focus is on-platform health management technology development. The expertise in this department includes: platform system analysis and modeling; health management system design and business case analysis; diagnostic, predictive and prognostic algorithm development; component and system fault test bed development; component and system failure analysis; condition based maintenance (CBM) technology assessment and Reliability Centered Maintenance (RCM)/Degrader/Failure Modes Effects and Criticality (FMECA) studies.
Application Examples of Key Competencies:
The CBM Toolbox is a unique software tool that provides a powerful capability to evaluate and develop optimum and highly effective health management system diagnostic, predictive and prognostic algorithms and techniques. It combines the ability to automate the application of multiple fault detection algorithms to data, visualize both raw and process data, and apply comparative performance metrics to the processing results. For example, the data in the Feature-Gram Output figure shows the results of applying the toolbox to analyze the effectiveness of a collection of gear diagnostic algorithms to a set of gearbox vibration data; the results show which algorithms offer the greatest potential for prognostic health monitoring.
Prototype Platform Health Management System – A key contributor to achieving vehicle reliability and availability is the ability to conduct vehicle maintenance effectively and efficiently. This becomes increasing difficult to accomplish with vehicles that have a high level of complexity to meet broad functionality requirements. Conducting maintenance well is even more difficult to achieve with maintainers and operators who have limited experience with complex mechanical, hydraulic and electrical systems. Efficient and effective maintenance involves the capability to quickly and accurately detect, diagnose, and localize faults to critical line replaceable units (LRU). It also involves providing replacement part information to the logistic system to expedite the acquisition of the correct LRU by the appropriate maintenance personnel.
Prototype vehicle health management systems with diagnostic, predictive and prognostic capabilities have been developed for several platforms including tactical wheeled vehicles, ground combat systems, naval ship systems as well as fixed wing and rotary wing aircraft. An example of a platform HMS is provided by the program conducted on the Heavy Expanded Mobility Tactical Truck (HEMTT). The focus of this program was to integrate diagnostic and prognostic technologies into a HEMTT platform to provide a wealth of vehicle health information to operators and maintainers. The technology provides the capability to more efficiently and effective manage a fleet of vehicles with the on-board capability to continuously monitor and assess the condition of critical components that contribute to vehicle reliability and availability. View the movie (HEMTT Movie Link Here) for additional details.