Sensors: Design of smart miniaturized sensor and interpretation of sensor data in intelligent diagnosis of mechanical-pneumatic systems

本项目旨在集成智能传感器和用于机械-气动系统诊断的传感器数据的解释和协作方法。该研究项目的目标是：(I)设计和制造小型化、多功能和遥测传感器，集成到工程系统中；(Ii)在故障检测和诊断(FDD)的决策过程中解释传感器数据，采用基于模型和基于特征的方法。使用新型智能多功能、遥测和集成传感器作为系统中的“智能节点”，将为下一代诊断提供必要的感官信息(如压力、流量和温度)。石溪大学将与纽约哈帕奇的Festo公司和德国不来梅大学合作开展智能传感器和智能诊断的基础研究，以研究先进的遥测MEMS传感器设计和各种技术，以提高系统的选择性、速度和健壮性。该项目与Festo公司合作，将MEMS和FDD的研究成果应用于机械-气动系统，并最大限度地发挥该技术的更广泛影响，此外还包括将研究成果纳入课程和教育中的各种重点的更广泛的教育影响。这是一个由传感器倡议NSF 04-522支持的GOALI项目。

Abstract0428403Imin KaoSUNY at Stoney BrookThis project aims at integration of smart sensors and methodology in the interpretation and collaboration of sensor data for the diagnosis of mechanical-pneumatic systems. The objectives of this research project are to: (i) design and fabricate miniaturized, multi-function, and telemetric sensor, integrated to engineering systems, and (ii) interpret sensor data in decision-making process for fault detection and diagnosis (FDD) with both model-based and feature-based approaches. Using new smart multi-function, telemetric, and integrated sensors as "intelligent nodes" in systems will provide necessary sensory information (e.g., pressure, flow, and temperature) for the next-generation diagnosis. University at Stony Brook, in collaboration with Festo Corporation, Hauppauge, NY, and Bremen University, Germany, will perform the fundamental research on smart sensors and intelligent diagnosis to investigate advanced telemetric MEMS sensors design and various techniques to enhance the selectivity, speed, and robustness of systems. This project has GOALI collaboration with Festo Corporation to apply research results in MEMS and FDD to mechanical-pneumatic systems, and to maximize the broader impact of the technology, in addition to broader educational impacts involving the incorporation of research results in curriculum and various focuses in education.This is a GOALI project supported under the Sensors Initiative NSF 04-522.