Reliability Evaluation Method of Pseudo-failure Life Distribution for Industrial Robot Servo System Based on The Generalized Lambda Distribution

Author:

Tang Shaomin,Liu Guixiong,Li Xiaobing

Abstract

Abstract A reliability evaluation method of pseudo-failure life distribution for Industrial Robot Servo System (IRSS) based on The Generalized Lambda Distribution (GLD) was proposed in the paper. The IRSS pseudo-failure life GLD distribution was established. Quantile estimation method was applied to estimate the GLD parameters. The proposed method had no need of presetting specific distribution morphology, and thus improve the accuracy of IRSS pseudo-failure reliability modeling. In the application experiment, the IRSS pseudo-failure life distribution reliability evaluation method based on GLD was used to obtain the IRSS failure life, the reliability evaluation result was consistent with the design failure life, which indicated the validity of the proposed method.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference10 articles.

1. Artificial Intelligence Enhanced Reliability Assessment Methodology with Small Samples [J];Cai,2021

2. Research status and penetration of reliability evaluating methods on PV modules [J];Liu;Modern Manufacturing Engineering,2014

3. Data-driven prognostics and remaining useful life estimation for lithium ion battery: A review [J];Liu;Instrumentation,2014

4. Prognostics of rolling element bearings with the combination of Paris law and reliability method [C];Behzad,2017

5. Fatigue life calculation procedure for the rotor of an embedded magnet traction motor taking into account thermomechanical loads [J];Sikanen;Mechanical Systems and Signal Processing,2018

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