Reliability Allocation Method for Remanufactured Machine Tools Based on Fuzzy Evaluation Importance and Failure Influence

Du, Yanbin; Wu, Guoao; Tang, Ying; Cao, Haotian; Liu, Shihao

doi:10.1007/s40684-020-00264-w

Cited by 12 publications

(9 citation statements)

References 35 publications

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“…The failure frequency D describes the proportion of the failure times of the subsystem to the failure times of the whole machine. As shown in Equation (8), where is the number of failures of subsystems i. According to the historical failure data of CNC machine tools, the failure frequency of each subsystem is obtained as shown in Table 5.…”

Section: Failure Frequencymentioning

confidence: 99%

“…Li et al 7 comprehensively considered the factors affecting reliability allocation and introduced the expert weight coefficient to put forward a new multiobjective optimization allocation method for machine tool reliability. Du et al 8 evaluated the importance of each component through five indicators, such as structure complexity, technology maturity, etc. and proposed a reliability allocation method based on fuzzy evaluation of component importance measure and failure impact.…”

Section: Introductionmentioning

confidence: 99%

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Reliability allocation method of comprehensive weight computer numerical control machine tool based on failure correlation and factor correlation

Yuhong

et al. 2022

Quality & Reliability Eng

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According to the shortage of independent hypothesis allocation models between influence factors and subsystems, a reliability allocation method considering influence factor correlation and subsystem failure correlation is proposed. The CNC (Computer Numerical Control) machine tool is taken as the research object. Using Copula function to analyze failure correlation analysis between subsystems, establish subsystem complete reliability model and integrated importance measure model under failure correlation. The four factors of influencing reliability allocation are subsystem complexity, integrated importance measure of subsystem based on failure correlation, failure frequency, and specific gravity ratio of failure downtime. The correlation analysis among the influencing factors was carried out by using gray correlation theory, and the subjective weight of the subsystem was determined. The IEW‐VIKOR (Information Entropy Weight‐Vlsekriterijumska Optimizacija I Kompromisno Resenje) method is used to determine the objective weights of subsystems. The comprehensive weight of the subsystem is also obtained through combinatorial empowerment. The reliability allocation of the CNC machine tool subsystem was carried out according to the failure correlation reliability model, and the results of failure independence and failure correlation hypothesis allocation were compared and analyzed. When the reliability index is the same, the reliability allocation method proposed in this paper can assign lower reliability to each subsystem, which is of great significance to improve the reliability of CNC machine tools and reduce the difficulty of reliability design

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Section: Failure Frequencymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reliability allocation method of comprehensive weight computer numerical control machine tool based on failure correlation and factor correlation

Yuhong

et al. 2022

Quality & Reliability Eng

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show abstract

“…This method is suitable for the reliability-allocation task in the initial stage of system design and has been widely used in practical applications. Many researchers [5][6][7][8][9][10] have studied the method in depth by considering one or multiple factors like structural complexity, technical maturity, failure hazards, maintenance difficulties, operation conditions, etc. For example, Du et al [7] proposed a reliability-allocation method for re-manufacturing machine tools based on the failure influence, which was determined by the ratio of the downtime caused by element failure to the total downtime.…”

Section: Introductionmentioning

confidence: 99%

An Optimization Method of Flexible Manufacturing System Reliability Allocation Based on Two Dimension-Reduction Strategies

Xu,

Tao,

Pei

et al. 2023

Machines

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As increasingly extensive applications of flexible manufacturing systems (FMSs) arise, their reliability allocation has been a research hot spot. But, since FMSs are always composed of transfer and buffer devices, production machines, and complex control systems, the large number of basic elements makes the number of variables and constraints of reliability-allocation optimization increase greatly, which leads to the difficulty and inefficiency of optimization. To solve the above problem, two dimension-reduction strategies are proposed for the FMS reliability optimization with low cost and a high level of reliability as the objectives, and they are the reliability-weight double-threshold qualification strategy (RWTS) and the bi-level optimization strategy (BLOS), respectively. Based on these two strategies, an overall reliability-allocation optimization model and a bi-level reliability-allocation optimization model are established based on the FMS reliability evaluation presented in our previous work, and their algorithms based on particle swarm optimization (PSO) are presented. In terms of their contributions, for the RWTS, thresholds of reliability and the weight index of each basic element are set to dynamically reduce the number of variables in each iteration of the optimization; for the BLOS, the overall reliability-allocation optimization problem for transitioning from the FMS to basic elements can be transformed into simpler allocation optimizations from the FMS to subsystems and from subsystems to basic elements, which have fewer variables, and this can largely improve the optimization convergence performance. Through applying this to a box-parts finishing FMS, compared with the traditional optimization method, the high efficiency and the good allocation effect of the optimization based on these two strategies for improving convergence speed are verified by the simulation results. The proposed method has great significance for FMS design due to its limited cost but high-reliability requirement.

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“…erefore, information fusion technology has the advantages of high fault tolerance, complementarity, economy, and being real time [10][11][12][13][14][15][16][17]. In recent years, information fusion technology has been applied more and more in the field of tool wear state recognition, but there is no unified standard [18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Recognition Method of Turning Tool Wear State Based on Information Fusion Technology and BP Neural Network

Gui

Xie

2021

Shock and Vibration

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The multi-information data acquisition system of tool wear condition of CNC lathe is built by acquiring the acoustic emission and vibration acceleration signals. The data of acoustic emission and vibration acceleration signals during the process of CNC machine tool processing under the conditions of different tool wear degrees and different cutting conditions are acquired and analyzed using the orthogonal experimental method. The optimum characteristic frequency band of acoustic emission and vibration acceleration signals was extracted by the wavelet envelope decomposition method so as to recognize tool wear condition as the characteristic parameters. The characteristic information of acoustic emission and vibration acceleration signals during the process of CNC machine tool processing was fused. In addition, the intelligent recognition of tool wear condition during the process of machine tool processing was researched.

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Reliability Allocation Method for Remanufactured Machine Tools Based on Fuzzy Evaluation Importance and Failure Influence

Cited by 12 publications

References 35 publications

Reliability allocation method of comprehensive weight computer numerical control machine tool based on failure correlation and factor correlation

Reliability allocation method of comprehensive weight computer numerical control machine tool based on failure correlation and factor correlation

An Optimization Method of Flexible Manufacturing System Reliability Allocation Based on Two Dimension-Reduction Strategies

Intelligent Recognition Method of Turning Tool Wear State Based on Information Fusion Technology and BP Neural Network

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