SBIR Phase II: Integrated Diagnostics for Operations and Maintenance of Installed Systems

这个小型企业创新研究的第二阶段项目将侧重于通过状态评估和诊断工具来提高维修作业调度方法，以产生一个“综合”维修管理系统。该公司开发了调度工具，可以根据经过的日历时间和单位利用率分配维护资源。该项目将通过状态评估模块增强这些工具。如果成功，结果将是一个普遍适用的系统，结合条件、时间和利用率作为维护过程的驱动因素。该项目将开发基于信号处理和特征提取的状态评估算法，使用传统传感器（如加速度计）和“下一代”传感器（如涡流设备、光纤传感器和MEMS传感器）。这些方法，当应用于维修服务计划时，将导致综合综合诊断技术和设计新的硬件和软件系统的新方法，以实现这些技术的广泛实际应用。

This Small Business Innovation Research Phase II project will focus on enhancing maintenance operations scheduling methodologies with condition assessment and diagnostic tools to produce an 'integrated' maintenance management system. The company has developed scheduling tools that allocate maintenance resources on the basis of elapsed calendar time and unit utilization. This project will augment these tools with condition assessment modules. If successful, the result would be a generally applicable system combining condition, time, and utilization as drivers for the maintenance process. The project will develop algorithms for condition assessment based on signal processing and feature extraction using both conventional sensors such as accelerometers, and 'next generation' sensors such as eddy current devices, fiber optic sensors, and MEMS sensors. These methods, when applied a maintenance service program, will lead to new methodologies for the synthesis of integrated diagnostics techniques and for the design of new hardware and software systems to realize those techniques for a wide range of practical applications.