Jian Zhou

Orcid: 0000-0003-3505-8117

Affiliations:
  • Rutgers University, Department of Industrial and Systems Engineering, Piscataway, NJ, USA


According to our database1, Jian Zhou authored at least 18 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Enhancing Resilience of Interdependent Supply Chain Networks Against Delay-Time Cascading Failures With Recovery Resource Allocation.
IEEE Trans. Reliab., June, 2025

A two-stage Weibull-gamma degradation model with distinct failure mechanism initiation and propagation stages.
Reliab. Eng. Syst. Saf., 2025

Condition-based maintenance for redundant systems considering spare inventory with stochastic lead time.
Reliab. Eng. Syst. Saf., 2025

Enhanced Corrosion Testing and Analysis for Steel Rebars in Reinforced Concrete Bridge Decks Based on Effective Pre-Cracking.
Qual. Reliab. Eng. Int., 2025

Multi-energy microgrid expansion planning with reliability consideration based on deep reinforcement learning.
Comput. Ind. Eng., 2025

2024
Deep reinforcement learning for resilient microgrid expansion planning with multiple energy resource.
Qual. Reliab. Eng. Int., February, 2024

Resilience improvement of cyber-physical supply chain networks considering cascading failures with mixed failure modes.
Comput. Ind. Eng., January, 2024

2023
Combined optimization of system reliability improvement and resilience with mixed cascading failures in dependent network systems.
Reliab. Eng. Syst. Saf., September, 2023

Adaptive deep learning-based remaining useful life prediction framework for systems with multiple failure patterns.
Reliab. Eng. Syst. Saf., July, 2023

Fusing physics-inferred information from stochastic model with machine learning approaches for degradation prediction.
Reliab. Eng. Syst. Saf., April, 2023

2022
Reliability analyses of <i>k</i>-out-of-<i>n</i>: F capability-balanced systems in a multi-source shock environment.
Reliab. Eng. Syst. Saf., 2022

Reliability evaluations for a multi-state <i>k</i>-out-of-<i>n</i>: F system with <i>m</i> subsystems supported by multiple protective devices.
Comput. Ind. Eng., 2022

2021
Resiliency-based restoration optimization for dependent network systems against cascading failures.
Reliab. Eng. Syst. Saf., 2021

Autonomous nondestructive evaluation of resistance spot welded joints.
Robotics Comput. Integr. Manuf., 2021

2020
Inspection plan prediction for multi-repairable component systems using neural network.
CoRR, 2020

The impact of analytical outage modeling on expansion planning problems in the area of power systems.
CoRR, 2020

A sequential resource investment planning framework using reinforcement learning and simulation-based optimization: A case study on microgrid storage expansion.
CoRR, 2020

2018
Combined effects of load dynamics and dependence clusters on cascading failures in network systems.
Reliab. Eng. Syst. Saf., 2018


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