Fault diagnosis strategy of CNC machine tools based on cascading failure

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.

[1]  R. Heydorn.  Reliability and Maintainability Engineering , 1998 .

[2]  Zhang Qi-lin.  Reliability evaluation of substation automation system based on IEC61850 , 2012 .

[3]  David F. Gleich,et al.  Multilinear PageRank , 2014, SIAM J. Matrix Anal. Appl..

[4]  Gene H. Golub,et al.  Extrapolation methods for accelerating PageRank computations , 2003, WWW '03.

[5]  Andreas M. Hinz,et al.  Graph Theory of Tower Tasks , 2011, Behavioural neurology.

[6]  Debao Xiao,et al.  A novel automated fault identification approach in computer networks based on graph theory , 2003, International Conference on Communication Technology Proceedings, 2003. ICCT 2003..

[7]  David F. Gleich,et al.  PageRank beyond the Web , 2014, SIAM Rev..

[8]  Anish Sachdeva,et al.  An interpretive structural modelling approach for analysing barriers in total productive maintenance implementation , 2014 .

[9]  Steve Kirkland.  Conditioning of the entries in the stationary vector of a Google-type matrix , 2006 .

[10]  Sebastiano Vigna,et al.  PageRank: Functional dependencies , 2009, TOIS.

[11]  Mahdi Karbasian,et al.  The application of ISM model in evaluating agile suppliers selection criteria and ranking suppliers using fuzzy TOPSIS-AHP methods , 2015, Expert Syst. Appl..

[12]  Guo-ping Hu,et al.  Optimization algorithm for fault diagnosis strategy based on failure feature information entropy: Optimization algorithm for fault diagnosis strategy based on failure feature information entropy , 2013 .

[13]  Akito Tsuboi,et al.  Model companions of theories of graphs , 2015, Math. Log. Q..

[14]  Shankar P. Bhattacharyya,et al.  A discrete event systems approach to network fault management: detection and diagnosis of faults † , 2011 .

[15]  Zhao Yue,et al.  Fault diagnostics using DUCG incomplex systems , 2016 .

[16]  Yang Zhao,et al.  Diagnostic strategy building method based on MDP , 2016 .

[17]  John N. Warfield,et al.  Participative methodology for public system planning , 1973 .

[18]  Carl D. Meyer,et al.  Google's PageRank and Beyond , 2007 .