自动化学报2017，Vol.43Issue(8)：1329-1338,10.DOI:10.16383/j.aas.2017.c160768
基于异步IMM融合滤波的网络化系统故障诊断
Fault Diagnosis for Networked Systems By Asynchronous IMM Fusion Filtering
摘要
Abstract
A fault diagnosis method is proposed based on networked asynchronous interacting multiple model (IMM) fusion filtering for a kind of networked systems with multiple asynchronous sensors and stochastic packet dropouts. The proposed networked asynchronous IMM fusion filtering algorithm is used to perform fusion filtering for the model set consisting of the normal model and all kinds of possible fault models of the system, where different arriving probabilities are considered for different sensor communication channels and the unknown fault amplitude is taken as the augmented system state. Fault detection and location are achieved based on the model possibilities, and the estimates of system state and fault amplitude can be obtained simultaneously. The proposed method avoids the problem of determining fault amplitude in the model set design of traditional IMM fault diagnosis approaches, improves the accuracy of fault diagnosis by fusing information from multiple sensors, and can be used to asynchronous multi-sensor networked systems with arbitrary sampling rates and arbitrary initial sampling time instants. The feasibility and effectiveness of the proposed algorithm are illustrated by simulation examples.关键词
故障诊断/网络化系统/异步融合/交互式多模型滤波Key words
Fault diagnosis/networked systems/asynchronous fusion/interacting multiple model (IMM) filtering引用本文复制引用
胡艳艳,金增旺,薛晓玲,孙长银..基于异步IMM融合滤波的网络化系统故障诊断[J].自动化学报,2017,43(8):1329-1338,10.基金项目
国家自然科学基金(61304105, 61520106009, 61533008) 资助Supported by National Natural Science Foundation of China (61304105, 61520106009, 61533008) （61304105, 61520106009, 61533008）
