R. Moghaddass

发表

Optimal design and maintenance of a repairable multi-state system with standby components

Ming J. Zuo, Mayank Kumar Pandey, Ramin Moghaddass, 2012 .

An integrated framework for online diagnostic and prognostic health monitoring using a multistate deterioration process

Ming Jian Zuo, Ming Jian Zuo, Ramin Moghaddass, 2014, Reliab. Eng. Syst. Saf..

Reliability and Availability Analysis of a Repairable $k$-out-of-$n:G$ System With $R$ Repairmen Subje

M. Zuo, R. Moghaddass, Jian Qu, 2011, IEEE Transactions on Reliability.

Resource optimization and image processing for vegetation management programs in power distribution networks

Olga E. Jumbo, R. Moghaddass, 2022, Applied Energy.

Multistate degradation and supervised estimation methods for a condition-monitored device

Ming J. Zuo, Ramin Moghaddass, M. Zuo, 2014 .

A parameter estimation method for a condition-monitored device under multi-state deterioration

Ming Jian Zuo, Ramin Moghaddass, M. Zuo, 2012, Reliab. Eng. Syst. Saf..

Optimal Design of a Multi-State Weighted Series-Parallel System Using Physical Programming and Genetic Algorithms

Wei Li, Ming Jian Zuo, Ramin Moghaddass, 2011, Asia Pac. J. Oper. Res..

A Hierarchical Framework for Smart Grid Anomaly Detection Using Large-Scale Smart Meter Data

Jianhui Wang, Ramin Moghaddass, Jianhui Wang, 2018, IEEE Transactions on Smart Grid.

Reliability and Availability Analysis of a Repairable k-out-of-n: G System With R Repairmen Subject to Shut-Off Rules

Ming Jian Zuo, Jian Qu, Ramin Moghaddass, 2011, IEEE Trans. Reliab..

A scalable Bayesian framework for large-scale sensor-driven network anomaly detection

R. Moghaddass, Feiran Xu, 2022, IISE Transactions.

Selective maintenance for binary systems under imperfect repair

Manoj Kumar Tiwari, Ming Jian Zuo, Mayank Kumar Pandey, 2013, Reliab. Eng. Syst. Saf..

A deep reinforcement learning approach for real-time sensor-driven decision making and predictive analytics

Ramin Moghaddass, Erotokritos Skordilis, R. Moghaddass, 2020, Comput. Ind. Eng..

Predictive analytics using a nonhomogeneous semi-Markov model and inspection data

Yu Liu, Hong-Zhong Huang, Ming J. Zuo, 2015 .

Selective maintenance for binary systems using age-based imperfect repair model

M. Pandey, M. J. Zuo, R. Moghaddass, 2012, 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering.

Selective maintenance modeling for a multistate system with multistate components under imperfect maintenance

Ming J. Zuo, Mayank Kumar Pandey, Ramin Moghaddass, 2013 .

Selective maintenance scheduling over a finite planning horizon

Ming J. Zuo, Mayank Kumar Pandey, Ramin Moghaddass, 2016 .

Smart Control of Fleets of Electric Vehicles in Smart and Connected Communities

Osama A. Mohammed, Shihab S Asfour, Ramin Moghaddass, 2019, IEEE Transactions on Smart Grid.

Anomaly detection in large-scale networks: A state-space decision process

Ramin Moghaddass, Abdullah Alghuried, R. Moghaddass, 2020, Journal of Quality Technology.

An anomaly detection framework for dynamic systems using a Bayesian hierarchical framework

Ramin Moghaddass, Shuangwen Sheng, S. Sheng, 2019, Applied Energy.

Bayesian Patchworks: An Approach to Case-Based Reasoning pdf

Cynthia Rudin, Ramin Moghaddass, C. Rudin, 2018, ArXiv.

Availability of a general k-out-of-n: G system with non-identical components considering shut-off rules using quasi-birth-death process

Ming Jian Zuo, Wenbin Wang, Ramin Moghaddass, 2011, Reliab. Eng. Syst. Saf..

State-Space Modeling for Degrading Systems with Stochastic Neural Networks and Dynamic Bayesian Layers

R. Moghaddass, Md Tanzin Farhat, 2023, IISE Transactions.