Abstract-Based on requirements for a next-generation rocket test facility, elements of a prototype intelligent rocket test facility (IRTF) have been implemented. The preliminary results provide the basis for future advanced development and validation using rocket test stand facilities at Stennis Space Center (SSC). Key components include distributed smart sensor elements integrated using a knowledge-driven environment. One of the specific goals is to imbue sensors with the intelligence needed to perform self-diagnosis of health and to participate in a hierarchy of health determination at sensor, process, and system levels. We have identified issues important to further development of health-enabled networks, which should be of interest to others working with smart sensors and intelligent health management systems.Index Terms-Health management, IEEE 1451, integrated system health management (ISHM), integrated vehicle health monitoring (IVHM), rocket testing, sensor fusion, smart sensors.

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We have previously introduced Learn ++ , an ensemble of classifiers based algorithm capable of incremental learning from additional data, and pointed to its feasibility in data fusion applications. In this contribution, we provide additional details, updated results and insight on how such a system can be used in integrating complementary knowledge provided by different data sources obtained from different sensors. Essentially, the algorithm generates an ensemble of classifiers using data from each source, and combines these classifiers using a weighted voting procedure. The weights are determined based on the individual classifier's training performance as well as the observed or predicted reliability of each data source.

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