A Reliability Allocation Method of CNC Lathes Based on Copula Failure Correlation Model

Wang, Hao; Zhang, Yimin; Yang, Zhou

doi:10.1186/s10033-018-0303-9

Cited by 22 publications

(14 citation statements)

References 23 publications

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“…Using the data in this paper, the reliability allocation of the meta-actions of NC rotary table is carried out by using the traditional allocation method, 40 the optimization allocation method only considering cost and benefit, 2 the RPN-based allocation method, 41 the reliability optimization allocation method considering differentiation of functions, 42 and the x reliability allocation method based on copula failure correlation model, 43 respectively. The results are shown in Table 21 .…”

Section: Influence Factor Fuzzy Decision Matrixmentioning

confidence: 99%

Research on reliability allocation technology for NC machine tool meta‐action

Zhang

Wang

et al. 2019

Quality & Reliability Eng

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The reliability of machine tool is getting more and more attention. Reasonable reliability allocation is beneficial to improve the inherent reliability of machine tool. However, the existing reliability allocation methods for machine tool have some limitations. For example, static part is selected as the reliability allocation object of machine tool, which cannot reflect the characteristics "function realized by motion"; factors affecting reliability allocation are not considered comprehensively, weights of experts are treated as the same, and the allocation results are not optimized or the impact of time on enterprise is neglected in the optimization. To solve these problems, a new multiobjective optimization reliability allocation method for machine tool is proposed in this paper. Firstly, the latest achievements about meta-action are given, and meta-action is set as the reliability allocation object. Secondly, more reasonable and comprehensive factors affecting reliability allocation are extracted. Thirdly, expert weight coefficient is brought to reduce the subjective impact of expert scoring. Fourthly, time factor is brought to make the optimized allocation results more reasonable and accurate. Finally, a numerical control (NC) machine tool made in China is taken as an example, with a comparison on the reliability allocation results of current methods and proposed method. The results verify the applicability, rationality, and accuracy of the proposed method, which lays a foundation for the subsequent study on the quality characteristics of machine tool based on meta-action.

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Section: Influence Factor Fuzzy Decision Matrixmentioning

confidence: 99%

Research on reliability allocation technology for NC machine tool meta‐action

Zhang

Wang

et al. 2019

Quality & Reliability Eng

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“…At present, the tool remaining useful life prediction is mainly based on failure information, performance degradation information, or wear amount. Wiener process, Gamma process, or competitive failure model are applied and combined with the failure threshold [2][3][4][5][6][7][8][9][10]. However, collecting a large amount of life data for mechanical products, such as machine tools, in a short period of time is difficult compared with electronic products.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Tool Remaining Useful Life Based on NHPP-WPHM

et al. 2023

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A tool remaining useful life prediction method based on a non-homogeneous Poisson process and Weibull proportional hazard model (WPHM) is proposed, taking into account the grinding repair of machine tools during operation. The intrinsic failure rate model is built according to the tool failure data. The WPHM is established by collecting vibration information during operation and introducing covariates to describe the failure rate of the tool operation. In combination with the tool grinding repair, the NHPP-WPHM under different repair times is established to describe the tool comprehensive failure rate. The failure threshold of the tool life is determined by the maximum availability, and the remaining tool life is predicted. Take the cylindrical turning tool of the CNC lathe as an example, the root mean square error, mean absolute error, mean absolute percentage error, and determination coefficient (R2) are used as indicators. The proposed method is compared with the actual remaining useful life and the remaining useful life prediction model based on the WPHM to verify the effectiveness of the model.

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“…As technologically advanced machines, computer numerical control (CNC) machine tools are the foundation of the equipment manufacturing industry [1,2]. Among them, heavy-duty machine tools with multisystem construction and multitechnology integration are important guarantees for the quality of national defense machine tools.…”

Section: Introductionmentioning

confidence: 99%

Weakness Ranking Method for Subsystems of Heavy-Duty Machine Tools Based on FMECA Information

Yang

Guo

Tian

et al. 2021

Chin. J. Mech. Eng.

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Heavy-duty machine tools are composed of many subsystems with different functions, and their reliability is governed by the reliabilities of these subsystems. It is important to rank the weaknesses of subsystems and identify the weakest subsystem to optimize products and improve their reliabilities. However, traditional ranking methods based on failure mode effect and critical analysis (FMECA) does not consider the complex maintenance of products. Herein, a weakness ranking method for the subsystems of heavy-duty machine tools is proposed based on generalized FMECA information. In this method, eight reliability indexes, including maintainability and maintenance cost, are considered in the generalized FMECA information. Subsequently, the cognition best worst method is used to calculate the weight of each screened index, and the weaknesses of the subsystems are ranked using a technique for order preference by similarity to an ideal solution. Finally, based on the failure data collected from certain domestic heavy-duty horizontal lathes, the weakness ranking result of the subsystems is obtained to verify the effectiveness of the proposed method. An improved weakness ranking method that can comprehensively analyze and identify weak subsystems is proposed herein for designing and improving the reliability of complex electromechanical products.

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A Reliability Allocation Method of CNC Lathes Based on Copula Failure Correlation Model

Cited by 22 publications

References 23 publications

Research on reliability allocation technology for NC machine tool meta‐action

Research on reliability allocation technology for NC machine tool meta‐action

Prediction of Tool Remaining Useful Life Based on NHPP-WPHM

Weakness Ranking Method for Subsystems of Heavy-Duty Machine Tools Based on FMECA Information

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