Evaluation of Machinery Readiness Using Semi-Markov Processes

[1]  Katarzyna Antosz,et al.  Maintenance – identification and analysis of the competency gap , 2018, Eksploatacja i Niezawodnosc - Maintenance and Reliability.

[2]  Arkadiusz Gola,et al.  Reliability analysis of reconfigurable manufacturing system structures using computer simulation methods , 2018, Eksploatacja i Niezawodnosc - Maintenance and Reliability.

[3]  Li Liu,et al.  Research on Markov Property Analysis of Driving Cycle , 2013, 2013 IEEE Vehicle Power and Propulsion Conference (VPPC).

[4]  Yang Li,et al.  Spectrum Usage Prediction Based on High-order Markov Model for Cognitive Radio Networks , 2010, 2010 10th IEEE International Conference on Computer and Information Technology.

[5]  Vijayan N. Nair,et al.  Assessing Markov property in multistate transition models with applications to credit risk modeling , 2019 .

[6]  Yan Wang,et al.  Hidden Markov model-based autonomous manufacturing task orchestration in smart shop floors , 2020, Robotics Comput. Integr. Manuf..

[7]  Dariusz Mazurkiewicz,et al.  The use of stationary tests for analysis of monitored residual processes , 2015 .

[8]  Bin Chen,et al.  TESTING FOR THE MARKOV PROPERTY IN TIME SERIES , 2011, Econometric Theory.

[9]  Zhe George Zhang,et al.  A discrete semi-Markov decision model to determine the optimal repair/replacement policy under general repairs , 2000, Eur. J. Oper. Res..

[10]  Tomasz Rymarczyk,et al.  Logistic Regression for Machine Learning in Process Tomography , 2019, Sensors.

[11]  Kejia Wei,et al.  Research on Technical Condition Evaluation of Equipments Based on Matter Element Theory and Hidden Markov Model , 2018 .

[12]  Shey-Huei Sheu,et al.  Determining the optimal production-maintenance policy with inspection errors: using a Markov chain , 2003, Comput. Oper. Res..

[13]  Edward Kozłowski,et al.  Application of the logistic regression for determining transition probability matrix of operating states in the transport systems , 2020 .

[14]  Małgorzata Jasiulewicz-Kaczmarek,et al.  The concept of maintenance sustainability performance assessment by integrating balanced scorecard with non-additive fuzzy integral , 2018, Eksploatacja i Niezawodnosc - Maintenance and Reliability.

[15]  Anna Borucka,et al.  Forecasting the readiness of special vehicles using the semi-Markov model , 2019, Eksploatacja i Niezawodnosc - Maintenance and Reliability.

[16]  Xavier Lana,et al.  Daily dry–wet behaviour in Catalonia (NE Spain) from the viewpoint of Markov chains , 1998 .

[17]  Atef Mohany,et al.  Application of acoustic emissions in machining processes: analysis and critical review , 2018, The International Journal of Advanced Manufacturing Technology.

[18]  M. Perman,et al.  Semi-Markov models with an application to power-plant reliability analysis , 1997 .

[19]  Funda Iscioglu,et al.  Dynamic reliability analysis of a multi-state manufacturing system , 2019 .

[20]  Shan Wu,et al.  Measuring the impact of final demand on global production system based on Markov process , 2018, Physica A: Statistical Mechanics and its Applications.

[21]  Qun-Feng Zhang,et al.  Markov property of Markov chains and its test , 2010, 2010 International Conference on Machine Learning and Cybernetics.

[22]  Po-Wei Chen,et al.  Improve Production Efficiency and Predict Machine Tool Status using Markov Chain and Hidden Markov Model , 2018, 2018 8th International Conference on Computer Science and Information Technology (CSIT).

[23]  Yuriy E. Obzherin,et al.  Application of hidden Markov models for analyzing the dynamics of technical systems , 2019 .

[24]  Marvin D. Troutt,et al.  Estimation of Wind Speed Distribution Using Markov Chain Monte Carlo Techniques , 2001 .

[25]  Dariusz Mazurkiewicz,et al.  Assessment model of cutting tool condition for real-time supervision system , 2019, Eksploatacja i Niezawodnosc - Maintenance and Reliability.