项目研究执行器内部参数与全局系统运行的相关性问题，尝试利用系统全局可测信息隔离故障执行器并识别执行器内部故障参数及故障发展趋势。应用可逆理论及基于模型的故障检测与诊断（FDD）方法，形成一种系统级与设备级相结合的互联机电系统层次化执行器故障诊断方案。 . 通过将执行器视为独立子系统与过程子系统互连，构成互连非线性动态系统；并进行互连系统的可逆性、故障子系统的可分离性、局部参数的全局可观性和故障可诊断性等研究，旨在阐明局部动态特性对全局动态特性的影响及可辨识性问题；以便在全局系统性能下降时能快速隔离出故障子系统，并准确定位出局部故障参数，实现设备的鲁棒故障诊断，进而改善故障定位信息并提供更好的预测维护帮助。 . 研究实际是利用全局系统输出定位局部系统故障参数，强调了现场设备动态特性的重要性，更具有故障针对性。研究结果将为机电系统的设备故障诊断与重构研究提供借鉴。

The project studies the correlation between the internal parameters of the field device and the operation of the global system, and tries to identify the fault actuator and isolate the internal fault parameters of the actuator by using the global measurable information of the dynamic system. Therefore the project concerns with the challenges of applying system inverse theory and model based FDD techniques to handle the joint problem of fault diagnosis (FDD) locally and performance monitoring globally. ..By considering actuator as individual dynamic subsystem connected with process dynamic subsystem in cascade, we propose an interconnected nonlinear system structure. We then investigate the problem of left invertibility, fault observability and fault diagnosability of the interconnected system, as well as globally observability of local parameter and distinguishability of faulty subsystems. It aims at illustrating impact and identifiability of local dynamics on global dynamics. Hence, potential fault resources can be diagnosed to locate malfunction when operation performance of global system degrades, thus achieving root cause analysis of the detected fault. As a result, improved fault localization and better predictive maintenance aids can be expected.. .The study is in fact the problem of identifying internal faulty variables of local actuator with the information of global system, whereas impose the importance of local dynamics. It poses important academic reference value for research on component fault diagnosis and fault reconstruction of nonlinear systems.