Abstract

In the accelerated degradation test (ADT) of motorized spindles, it is necessary to apply a variety of stresses to simulate real working conditions. However, the traditional accelerated test scheme optimization method does not consider the weight of various stresses in the test, resulting in the evaluation accuracy of important stress parameters in the model being too low. In order to solve this problem, an optimal design method of the step stress accelerated degradation test (SSADT) scheme for motorized spindles is proposed based on Ds-optimality. Firstly, the fault tree analysis (FTA) method is used to analyze the collected fault data of motorized spindles and screen the main stress. Then, the accelerated degradation model is established by using drift Brownian motion. Based on the Ds-optimality, the optimization variables and constraints in the test are determined, and the optimization model is established with the objective of minimizing the estimated variance of the main stress parameters in the acceleration model; additionally, the optimization steps are given. Finally, an example is given to verify the effectiveness of the method. Sensitivity analysis of the optimization results shows that the method has good robustness.

Highlights

  • The results showed that the optimal scheme under random impact was very different from the traditional accelerated degradation test (ADT) optimization scheme

  • In this paper, based on Ds -optimality, an optimization method of model parameter accuracy focusing on important stress, is proposed to solve the problem of model parameter evaluation in the ADT of motorized spindles subjected to various stresses

  • When the objective function is established, the exhaustive method is used to solve the set of alternatives to avoid the wrong optimal solution caused by improper setting of the initial conditions of the optimization algorithm

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. The proposed method, with the evaluation accuracy of the optimization scheme as the optimization objective, along with the stress, stress level, sample size, detection interval and detection time as the optimization variables, the detection time and cost as the constraints, and the product with multiple degradation measures, was studied, and the effectiveness of the method was verified using a rubber sealed O-ring. Aiming at the problem of how to carry out the multi-stress ADT optimization design of motorized spindles, this paper puts forward an optimization design method of an accelerated test scheme based on. In this paper, based on Ds -optimality, an optimization method of model parameter accuracy focusing on important stress, is proposed to solve the problem of model parameter evaluation in the ADT of motorized spindles subjected to various stresses.

SSADT Profile Analysis
SSADT Stress Analysis
Degradation Model
Acceleration Model
Optimization Objective
Optimization Variables
Constraint Conditions
Optimal Process
A Case Study of Motorized Spindle
An Extended Case Study
Sensitivity Analysis
Findings
Conclusions

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