مقالات چاپ شده در مجلات علمي و پژوهشي
1. Azizi, F., Haghighi, F., Ghadiri, E., & Torabi, L. (2017). Statistical inference for masked interval data with Weibull distribution under simple step-stress test and tampered failure rate model. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 231(6), 654-665
2. Azizi, F., & Haghighi, F. (2018). Joint modeling of linear degradation and failure time data with masked causes of failure under simple step-stress test. Journal of Statistical Computation and Simulation, 88(8), 1603-1615.
3. Azizi, F., Haghighi, F., & Tabibi Gilani, N. (2020). Statistical inference for competing risks model under progressive interval censored Weibull data. Communications in Statistics-Simulation and Computation, 49(7), 1931-1944.
4. Azizi, F., Eftekhari Mahabadi, S., & Mosayebi Omshi, E. (2020). Bayesian sensitivity analysis to the non-ignorable missing cause of failure for hybrid censored competing risks data. Journal of Statistical Computation and Simulation, 1-28.
5. Omshi, E. M., & Azizi, F. (2022). Estimation and Optimization for Step-Stress Accelerated Degradation Tests Under an Inverse Gaussian Process with Tampered Degradation Model. Iranian Journal of Science and Technology, Transactions A: Science, 1-12.
6. Rasay, H., Naderkhani, F., & Azizi, F. (2022). Opportunistic maintenance integrated model for a two-stage manufacturing process. The International Journal of Advanced Manufacturing Technology, Vol 118.
7. Azizi, F., & Salari, N. (2022). A novel condition-based maintenance framework for parallel manufacturing systems based on bivariate birth/birth–death processes. Reliability Engineering & System Safety, 108798.
8. Rasay, H., Hadian, S. M., Naderkhani, F., & Azizi, F. (2023). Optimal condition based maintenance using attribute Bayesian control chart. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 1748006X231174960.
مقالات ارائه شده در کنفرانسهای علمی
1. Azizi, F., Eftekhari Mahabadi, S., & Mosayebi Omshi, E. (2015). Bayesian Sensitivity Analysis for Competing Risks Data With Missing Cause of Failure, 29, 1st Semonar on Reliability Theory and its Applications, Esfahan University.
2. Azizi, F. & Torabi, L. (2016). Statistical Inference of Accelerated Life Tests with Masked Interval Data under Tampered Failure Rate Model, 2nd Seminar on Reliability Theory and its Applications, Tehran University.
3. Azizi, F., Haghighi, F. & Makis, V. (2017). A Partially Accelerated Life Test Planning with Competing Risks and Linear Degradation Path under Tampered Failure Rate Model, International Scholarly and Scientific Research & Innovation, 11(6), Toronto, Canada.
4. Azizi, F., Mosayebi Omshi, M., Haghighi, F. & Shemehsavar, S. (2018). Planning of step-stress accelerated degradation test with tampered failure rate model under an inverse Gaussian process, 4th Seminar on Reliability Theory and its Applications, Shiraz University.
5. Azizi, F., & Haghighi, F. (2021). Maintenance of Continuously Monitored Multi-Unit Systems, 7th Seminar on Reliability Theory and its Applications, Birjand University.
6. Azizi, F. (2021). An Application of Stochastic Birth/Birth-Death Processes for Production System Maintenance. 13th Seminar on Probability and Stochastic Processes, Hakim Sabzevari University.
7. Rasay, H., & Azizi, F. (2022). Designing control charts for monitoring Weibull distribution under Type-II right censoring. 8th Seminar on Reliability Theory and its Applications, Ferdowsi University of Mashhad.
8. Azizi, F., Rasay, H., & Naderkhani, F. (2022, June). Dynamic Maintenance of Continuously Monitored Parallel Systems. In 2022 IEEE International Conference on Prognostics and Health Management (ICPHM) (pp. 12-16). IEEE.
9. Salmani, M., Azizi, F., Rasay, H., & Naderkhani, F. (2023, January). Dynamic Maintenance for a Large Scale Identical Parallel Manufacturing Systems Using Reinforcement Learning. In 2023 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-8). IEEE.
10. Azizi, F., Rasay, H., & Safari, A. (2023, May). Maintenance Planning for a Continuous Monitoring System Using Deep Reinforcement Learning. 9th Seminar on Reliability Theory and its Applications, Isfahan University of Technology.
مقالات چاپ شده در مجلات داخلی
1. Parsian, A. & Azizi, F. (2012). Bayesian Inference Based on Type-I Hybrid Censored Data from a Two-Parameter Exponential Distribution, Journal of Advanced Mathematical Modeling 2 (1), 1-26. (In Persian)
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