Automated Planning and Design for Producability and Maintainability

The development of complex sensor networks for CBM has created the challenge of assuring the reliable transmission of sensor data across the network and the reliability of the actual data obtained by the sensors. Both classes of sensor and system error -false positives and failure to report a fault - can be costly and dangerous. The probability of these errors must be very low if CBM is to reach its potential. Oceana Sensor Technologies,Inc (OST) proposes to establish a model for self-testing ofintelligent sensor networks, including wireless communication links, that can be adopted as an integral feature of emerging intelligent sensor systems. OST recognizes that, with the broad range of sensors and networks in existence and under development,an ad hoc strategy will become an endless series of tasks. Accordingly, OST's approach is general enough to work in any sensor-network configuration.The successful development and implementation of a self-testing CBM network of sensors has manyimplications. More reliable sensors and sensor networks for CBM give more accurate data over longer operating times. Smart sensors diagnose the exact location of a problem within the network so that humans need to spend less time diagnosing problems.The compliance of the open architecture network in accordance with IEEE1451 standards means it will interface with many vendors' sensors and network systems. And lastly, this technology will apply to any CBM system, DoD or commercial.