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For Integrated Vehicle Health Management (IVHM) technology to fully achieve its promise, there is a need for integration architecture to support interoperability between multiple vendors' IVHM components and insertion of new IVHM capabilities. To date there have been very limited studies on different approaches in integrating IVHM components. This paper presents design candidates for plug-and-play (PnP) IVHM architecture. The open standard based designs are derived from desired IVHM data flow characteristics and system configuration requirements. The designs and enabling middleware technologies are qualitatively and empirically evaluated for their adequacy and effectiveness. The qualitative assessment focuses on the implementation and system configuration based on different test scenarios. The empirical performance is measured in terms of latency (in both normal and intermittent network connections) and throughput.

In today's aircraft the diagnostic and prognostic systems play a crucial part in aircraft safety while reducing the operating and maintenance costs. Aircraft are very complex in their design and require consistent monitoring of systems to establish the overall vehicle health status. Most diagnostic systems utilize advanced algorithms (e.g. Bayesian belief networks or neural networks) which usually operate at system or sub-system level. The sub-system reasoners collect the input from components and sensors to process the data and provide the diagnostic/detection results to the flight advisory unit. Several sources of information must be taken into account when assessing the vehicle health, to accurately identify the health state in real time. These sources of information are independent system-level diagnostics that do not exchange any information/data with the surrounding systems.