TY - GEN
T1 - Multi-level Reliability Analysis of Heavy-duty Robot Based on Modified Expert Evaluation Method
AU - Cao, Xuanming
AU - Liu, Yubin
AU - Man, Zhuoqi
AU - Yang, Xiaofan
AU - Wu, Weiguo
AU - Wu, Junyu
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - Aiming at guaranteeing the heavy-duty robot's working reliability, reliability allocation is a key step in the design phase. To distribute the entire system's reliability hierarchically to subsystems, modules, and components, a modified expert evaluation method is applied. Firstly, a multilayer reliability model is established for the heavy-duty robot as the foundation for reliability analysis. Secondly, the idea of machine learning is introduced to determine the weighing factor for allocation based on multiple experts' fuzzy evaluations. The reliability is effectively allocated with the calculated weighing factor, minimizing the expert's subjective influence. Then, an intelligent and automatic evaluation interface is developed to facilitate and customize the evaluation process. Finally, a test case for a heavy-duty robot's reliability allocation is completed. This work provides a useful tool for reliability allocation in the design phase of the heavy-duty robot.
AB - Aiming at guaranteeing the heavy-duty robot's working reliability, reliability allocation is a key step in the design phase. To distribute the entire system's reliability hierarchically to subsystems, modules, and components, a modified expert evaluation method is applied. Firstly, a multilayer reliability model is established for the heavy-duty robot as the foundation for reliability analysis. Secondly, the idea of machine learning is introduced to determine the weighing factor for allocation based on multiple experts' fuzzy evaluations. The reliability is effectively allocated with the calculated weighing factor, minimizing the expert's subjective influence. Then, an intelligent and automatic evaluation interface is developed to facilitate and customize the evaluation process. Finally, a test case for a heavy-duty robot's reliability allocation is completed. This work provides a useful tool for reliability allocation in the design phase of the heavy-duty robot.
KW - expert evaluation method
KW - heavy-duty robot
KW - reliability allocation
KW - weighing factor method
UR - https://www.scopus.com/pages/publications/105044989024
U2 - 10.1109/RAITS68656.2026.11580276
DO - 10.1109/RAITS68656.2026.11580276
M3 - 会议稿件
AN - SCOPUS:105044989024
T3 - Proceedings - 2026 International Conference on Robotics, Automation and Intelligent Transportation Systems, RAITS 2026
BT - Proceedings - 2026 International Conference on Robotics, Automation and Intelligent Transportation Systems, RAITS 2026
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2026 International Conference on Robotics, Automation and Intelligent Transportation Systems, RAITS 2026
Y2 - 23 January 2026 through 25 January 2026
ER -