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Wiener Process Based In-service Reliability Evaluation Method of Industrial Robot Servo System
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Wiener Process Based In-service Reliability Evaluation Method of Industrial Robot Servo System
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Journal Article
Wiener Process Based In-service Reliability Evaluation Method of Industrial Robot Servo System
2025
Overview
By traditional reliability test and evaluation method in stable condition, it is difficult to reflect the in-service reliability ability of Industrial Robot Servo System (IRSS). In this paper, an in-service simulation test platform for industrial robot servo system is established, and an in-service reliability evaluation framework based on series Wiener processes is proposed. In the proposed framework, the IRSS In-service test platform was applied to carry out performance degradation tests of IRSS under its service conditions, IRSS degradation factor was constructed based on Restricted Boltzmann Machine, and three Wiener process models with random effects were applied to evaluate IRSS reliability. Based on the proposed framework, the in-service failure life of the IRSSs were accurately predicted. Compared with conventional reliability testing and evaluation methods based on stable operating conditions, the proposed approach demonstrates superior performance in the in-service reliability evaluation of IRSS, achieving an 83.05% improvement in assessment accuracy. The proposed method enable precise tracking and assessment of in-service degradation in robotic electrical machines and drives. This provides quantitative assessment results as critical references for implementing health management in high-dynamic electrical machines and drive systems, while establishing a robust foundation for the design and development of high-performance and high-reliability robotic drive systems.
Publisher
IOP Publishing
