De‐quan Zhang
Papers
1
Total Citations
19
H-Index
1
About
Dr. De-quan Zhang is a researcher specializing in reliability engineering and uncertainty quantification for complex mechanical systems, with a particular focus on industrial robotics. His major contributions center on developing novel reliability allocation methods that address epistemic uncertainty—the kind arising from limited data or incomplete knowledge—in multi-state robotic systems. His most-cited work, "Research on multiple‐state industrial robot system with epistemic uncertainty reliability allocation method" (2020, 19 citations), proposes a systematic approach to improve the whole life cycle of industrial robots, reduce maintenance costs, and identify weak subsystems, even when sample data are scarce and system customization is high. This work is notable for tackling the challenge of small-sample, high-complexity systems, offering practical tools for enhancing robot reliability in real-world manufacturing settings. Dr. Zhang’s research bridges theoretical uncertainty modeling and applied reliability engineering, making his insights valuable for students and engineers working on robust design, maintenance optimization, and risk assessment in advanced automation.
Research Focus
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