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Compared with the traditional signed directed graph (SDG) model, the extended SDG model can enlarge the information of edges and nodes, reduce false solution and improve resolution. Therefore, it possesses good information completeness. However, the multi-node information and complex relationships of edges in the model result in a long search time and low efficiency. To solve these problems, a hierarchical...
Traditional diagnostic systems generally are off-line and confirmatory. When abnormal variables occur, they cannot provide predictive diagnosis and maintenance suggestions in time. So the anomaly may be further accumulated and lead to more serious faults. This paper proposes a real-time fault predictive diagnosis method, which is based on granular reduction algorithm and granular similarity calculation...
Signed directed graph (SDG) as a qualitative model is used in fault diagnosis, because it can express causal relationships among variables of large-scale complex industry systems. However, many relevant results are included in diagnostic conclusions leading to low resolution in based-SDG fault diagnosis, so to solve this problem, granule is used to formally express the elements of SDG model in this...
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