Development of Reliability Test System Based on Working Principle and Fault Analysis of Motorized Spindle

Zhao, Hongxun; Yang, Zhaojun; Chen, Chuanhai; Tian, Hailong; Chen, Lei; Jiang, Ying; Xu, Jianliang

doi:10.1109/icsrs.2018.8688715

Cited by 4 publications

(2 citation statements)

References 1 publication

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“…According to the historical data, engineering experience and other information, the parameters of the model, the degradation threshold D of the motorized spindle performance [37], the initial stress S 1 and the maximum stress S L of the motorized spindle test, the number of test stress levels L, the total test cost C 1 , the test cost per unit time C 0 , the unit price of motorized spindle sample C d and the inspection interval ∆t are determined; Select a scheme ξ q from scheme set Ω ξ ; 4.…”

Section: Optimal Processmentioning

confidence: 99%

Optimization Design of Step Stress Accelerated Degradation Test for Motorized Spindle Based on Ds-Optimality

et al. 2021

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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.

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Section: Optimal Processmentioning

confidence: 99%

Optimization Design of Step Stress Accelerated Degradation Test for Motorized Spindle Based on Ds-Optimality

et al. 2021

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“…Spindle system downtime and poor machine quality can ensue. The non-linear motion of the spindle system is affected by the bearing's loading pattern [3][4][5]. Consequently, a significant issue in spindle system condition monitoring is how to determine the operating status of rolling bearings under various loading patterns.…”

Section: Introductionmentioning

confidence: 99%

Improved DBSCAN Spindle Bearing Condition Monitoring Method Based on Kurtosis and Sample Entropy

Zhang

Kong

et al. 2022

Machines

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An improved density-based spatial clustering of applications with noise (IDBSCAN) analysis approach based on kurtosis and sample entropy (SE) is presented for the identification of operational state in order to provide accurate monitoring of spindle operation condition. This is because of the low strength of the shock signal created by bearing of precision spindle of misalignment or imbalanced load, and the difficulties in extracting shock features. Wavelet noise reduction begins by dividing the recorded vibration data into equal lengths. Features like kurtosis and entropy in the frequency domain are used to generate feature vectors that indicate the bearing operation state. IDBSCAN cluster analysis is then utilized to establish the ideal neighborhood radius (Eps) and the minimum number of objects contained within the neighborhood radius (MinPts) of the vector set, which are combined to identify the bearing operating condition features. Finally, utilizing data from the University of Cincinnati, the approach was validated and assessed, attaining a condition detection accuracy of 99.2%. As a follow-up, the spindle’s vibration characteristics were studied utilizing an unbalanced bearing’s load bench. Bearing state recognition accuracy was 98.4%, 98.4%, and 96.7%, respectively, under mild, medium, and overload circumstances, according to the results of the experimental investigation. Moreover, it shows that conditions of bearings under various unbalanced loads can be precisely monitored using the proposed method without picking up on specific sorts of failures.

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Optimal design of ladder-stress accelerated degradation test plan for motorized spindle in non-cube test area

Zhao

Yang

Chen

et al. 2022

Int J Adv Manuf Technol

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Development of Reliability Test System Based on Working Principle and Fault Analysis of Motorized Spindle

Cited by 4 publications

References 1 publication

Optimization Design of Step Stress Accelerated Degradation Test for Motorized Spindle Based on Ds-Optimality

Optimization Design of Step Stress Accelerated Degradation Test for Motorized Spindle Based on Ds-Optimality

Improved DBSCAN Spindle Bearing Condition Monitoring Method Based on Kurtosis and Sample Entropy

Optimal design of ladder-stress accelerated degradation test plan for motorized spindle in non-cube test area

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