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Fault propagation behaviour analysis is the basis of fault diagnosis and health maintenance. Traditional fault propagation studies are mostly based on a priori knowledge of a causality model combined with rule-based reasoning, disregarding the limitations of experience and the dynamic characteristics of the system that cause deviations in the identification of critical fault sources. Thus, this paper proposes a dynamic analysis method for fault propagation behaviour of machining centres that combines fault propagation mechanisms with model structure characteristics. This paper uses the design structure matrix (DSM) to establish the fault propagation hierarchy structure model. Considering the correlation of fault time, the fault probability function of a component is obtained and the fault influence degree of nodes are calculated. By introducing the Copula and Coupling degree functions, the fault influence degree of the edges between the same level and different levels are calculated, respectively. This paper constructs a fault propagation intensity model by integrating the edge betweenness and uses it as an index to analyze real-time fault propagation behaviour. Finally, a certain type of machining centre is taken as an example for specific application. This study can provide as a reference for the fault maintenance and reliability growth of a machining centre.
Liming Mu; Yingzhi Zhang; Jintong Liu; Fenli Zhai; Jie Song. Dynamic Analysis Method for Fault Propagation Behaviour of Machining Centres. Applied Sciences 2021, 11, 6525 .
AMA StyleLiming Mu, Yingzhi Zhang, Jintong Liu, Fenli Zhai, Jie Song. Dynamic Analysis Method for Fault Propagation Behaviour of Machining Centres. Applied Sciences. 2021; 11 (14):6525.
Chicago/Turabian StyleLiming Mu; Yingzhi Zhang; Jintong Liu; Fenli Zhai; Jie Song. 2021. "Dynamic Analysis Method for Fault Propagation Behaviour of Machining Centres." Applied Sciences 11, no. 14: 6525.
To realize dynamic and real-time multi-fault decoupling and diagnostic CNC machine tools, this study proposes a dynamic fault diagnosis method that is based on fault propagation intensity. Integrated fault mechanism analysis, directed graph theory, and interpretative structure model are used to construct a fault propagation hierarchical model to visually depict complex fault causality. The influence degree of component nodes and the fault influence degree of edges are calculated using PageRank and a coupling degree function. The fault propagation probability of component nodes is determined by synthesizing node fault probability. Fault propagation intensity is defined by the probability of fault propagation and edge-betweenness to characterize the behavior of fault propagation dynamically. Combined with the hierarchical fault propagation model, the critical path and node are determined. A certain type of CNC machine tool is taken as an example to carry out a specific application. Results show that the hierarchical model of system fault propagation realizes multi-fault decoupling and clarifies the process of fault propagation. The critical path is identified according to the fault propagation intensity, the deviation caused by describing the behavior of fault propagation based on a single index is avoided, and the accuracy of fault diagnosis is improved.
Yingzhi Zhang; Liming Mu; Jialin Liu; Jintong Liu; Zhifu Tian; Yilong Zhang. Application of fault propagation intensity in fault diagnosis of CNC machine tool. Journal of the Chinese Institute of Engineers 2019, 43, 153 -161.
AMA StyleYingzhi Zhang, Liming Mu, Jialin Liu, Jintong Liu, Zhifu Tian, Yilong Zhang. Application of fault propagation intensity in fault diagnosis of CNC machine tool. Journal of the Chinese Institute of Engineers. 2019; 43 (2):153-161.
Chicago/Turabian StyleYingzhi Zhang; Liming Mu; Jialin Liu; Jintong Liu; Zhifu Tian; Yilong Zhang. 2019. "Application of fault propagation intensity in fault diagnosis of CNC machine tool." Journal of the Chinese Institute of Engineers 43, no. 2: 153-161.
To ensure the safe operation of CNC machines, a fault diagnosis strategy based on cascading failure is proposed. According to fault mechanism analysis, a directed graph model of fault propagation between components in machine tool systems is established. In this study, the interpretative structural model method is used to realize the hierarchical structure of fault propagation model by matrix transformation and decomposition. Subsequently, the PageRank algorithm is introduced to evaluate the failure effects of the machine tool system components. The Johnson method is then applied to correct the component fault sequence and establish the model of rate of occurrence of failures that is based on time correlation. Finally, the fault diagnosis strategy is formulated through the component rate of the occurrence of failure, fault influence and fault propagation model, to identify the main cause of the fault and provide the basis for fault diagnosis. In the end, a machine tool equipment is used as an example for application to verify the validity of the method.
Yingzhi Zhang; Liming Mu; Guixiang Shen; Yang Yu; Chenyu Han. Fault diagnosis strategy of CNC machine tools based on cascading failure. Journal of Intelligent Manufacturing 2017, 30, 2193 -2202.
AMA StyleYingzhi Zhang, Liming Mu, Guixiang Shen, Yang Yu, Chenyu Han. Fault diagnosis strategy of CNC machine tools based on cascading failure. Journal of Intelligent Manufacturing. 2017; 30 (5):2193-2202.
Chicago/Turabian StyleYingzhi Zhang; Liming Mu; Guixiang Shen; Yang Yu; Chenyu Han. 2017. "Fault diagnosis strategy of CNC machine tools based on cascading failure." Journal of Intelligent Manufacturing 30, no. 5: 2193-2202.