Author
Listed:
- Tudi Huang
(University of Electronic Science and Technology of China
University of Electronic Science and Technology of China)
- Hua-Ming Qian
(University of Electronic Science and Technology of China
University of Electronic Science and Technology of China)
- Jun Cai
(University of Electronic Science and Technology of China
University of Electronic Science and Technology of China)
- Jinhua Mi
(University of Electronic Science and Technology of China
University of Electronic Science and Technology of China)
- Hong-Zhong Huang
(University of Electronic Science and Technology of China
University of Electronic Science and Technology of China)
Abstract
In conventional reliability prediction methods employed for industrial robots, accurately estimating the degree of difference in reliability levels between evaluation objects and similar products poses a challenge. This paper introduces a novel approach to predicting the reliability of industrial robots based on the Interval Analytic Hierarchy Process (AHP) to address this limitation. The methodology involves an initial analysis of the relationship between the reliability of the entire machine and that of its subsystems. Subsequently, a reliability prediction model for the entire machine is formulated. During the prediction of subsystem reliability, the reliability data from analogous products are extensively leveraged. A comprehensive analysis of differences between the evaluation objects and similar products is conducted. The proposed methodology culminates in the establishment of a reliability correction factor evaluation model. This model is computed using the Interval AHP, facilitating the synthesis of deterministic information and fuzzy information to achieve a more comprehensive understanding of reliability.
Suggested Citation
Tudi Huang & Hua-Ming Qian & Jun Cai & Jinhua Mi & Hong-Zhong Huang, 2025.
"A Reliability Prediction Method for Industrial Robots Using Interval Analytic Hierarchy Process,"
Springer Series in Reliability Engineering, in: Qian Qian Zhao & Il Han Chung & Junjun Zheng & Jongwoon Kim (ed.), Reliability Analysis and Maintenance Optimization of Complex Systems, pages 35-44,
Springer.
Handle:
RePEc:spr:ssrchp:978-3-031-70288-4_3
DOI: 10.1007/978-3-031-70288-4_3
Download full text from publisher
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below whether another version of this item is available online.
2. Check on the provider's
web page
whether it is in fact available.
3. Perform a
search for a similarly titled item that would be
available.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ssrchp:978-3-031-70288-4_3. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.