Distributed Fault Diagnosis of Nonlinear Stochastic Systems With Monitoring Networks
Distributed Fault Diagnosis of Nonlinear Stochastic Systems With Monitoring Networks
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DOI：
10.1109/access.2020.3011725
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发表时间：
2020
期刊：
影响因子：
3.9
通讯作者：
I. Raptis;E. Noursadeghi
中科院分区：
文献类型：
--
作者：
I. Raptis;E. Noursadeghi
针对具有多种故障模式的随机非线性系统，设计了一种分布式故障检测与隔离滤波器。该单片过程由通信检测节点的网络来监控，而不是由单独的监控诊断单元来监控。每个检测节点都是故障敏感的估计器单元，具有处理能力和对过程的有限观察访问。检测节点通过通信网络交换后处理信息。采用平均一致性协议对检测节点的输出进行融合，以获得局部似然函数的一致性。该方法在不需要估计器库的情况下进行在线假设检验，显著降低了算法的计算复杂度。数值仿真验证了该算法的有效性。
The design of a distributed fault detection and isolation filter is addressed for stochastic nonlinear systems subjected to multiple failure modes. The monolithic process is monitored by a network of communicating detection nodes, in lieu of a singleton, supervising diagnostic unit. Each detection node is a fault-sensitive estimator unit with processing capabilities and limited observation access to the process. The detection nodes exchange post-processed information over a communication network. An average consensus protocol is employed to fuse the detection nodes’ outputs to obtain an agreement over the local likelihood functions. The proposed approach conducts online hypothesis testing without a bank of estimators, reducing the computational complexity of the algorithm significantly. Numerical simulations validate the efficiency of the proposed algorithm.