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A reliability analysis method for industrial robots based on double hierarchy hesitant fuzzy linguistic term set and TODIM

Research Square
2023
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Article Description

Failure mode and effect analysis (FMEA) is the most commonly used method for quality and reliability analysis of industrial robots. FMEA is important for improving the quality and reliability of industrial robots by identifying potential failure modes and analyzing possible consequences. In order to enable FMEA method to solve relevant engineering problems in complex and uncertain working environment of industrial robots, this paper proposes a reliability analysis method based on double hierarchy hesitant fuzzy linguistic term set(DHHFLTS) and tomada de decisao interativa e multicritevio (TODIM). First, in complex and uncertain environments, we use a DHHFLTS for failure mode evaluation, which can truly portray people's hesitation in this particular environment. Then, the weights of each influencing factor are calculated according to the maximum deviation method of evaluation information. The maximum deviation method allows for capability gaps between evaluation members, i.e., it does not need to calculate the weight of evaluation members separately, which simplifies the calculation process of the method. Finally, the relative dominance and global dominance of failure modes are calculated by TODIM, and then the failure modes are ranked according to the global dominance. At the end of the paper, an example of failure mode analysis for a six-axis industrial robot is used to show the specific implementation process of this method and to prove the practicability and reliability of this method.

Bibliographic Details

Xiuli Zheng; Jinkun Dai; Hui Wang

Research Square Platform LLC

Biochemistry, Genetics and Molecular Biology; Immunology and Microbiology; Medicine; Neuroscience; Psychology; Dentistry

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