Search Results - "Lifeng Xi"

Dynamic maintenance decision-making for series–parallel manufacturing system based on MAM–MTW methodology by Xia, Tangbin, Xi, Lifeng, Zhou, Xiaojun, Lee, Jay

“…► A dynamic maintenance strategy is developed for series–parallel system. ► Multiple attribute value theory and maintenance effects are considered. ►…”
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Investigation on optimal discriminant directions of linear discriminant analysis for locating informative frequency bands for machine health monitoring by Yan, Tongtong, Wang, Dong, Xia, Tangbin, Liu, Jie, Peng, Zhike, Xi, Lifeng

“…•Optimal discriminant directions of linear discriminant analysis (LDA) is studied.•LDA based physics-informed machine learning technology is proposed.•New…”
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Finite type in measure sense for self-similar sets with overlaps by Deng, Juan, Wen, Zhiying, Xi, Lifeng

“…For self-similar sets with overlaps, we introduce a notion named the finite type in measure sense and reveal its intrinsic relationships with the weak…”
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Reliability-centered predictive maintenance scheduling for a continuously monitored system subject to degradation by Zhou, Xiaojun, Xi, Lifeng, Lee, Jay

“…This paper tries to integrate sequential imperfect maintenance policy into condition-based predictive maintenance (CBPM). A reliability-centered predictive…”
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A Novel Analytical Modeling Approach for Quality Propagation of Transient Analysis of Serial Production Systems by Liu, Shihong, Du, Shichang, Xi, Lifeng, Shao, Yiping, Huang, Delin

“…Production system modeling (PSM) for quality propagation involves mapping the principles between components and systems. While most existing studies focus on…”
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A tabu search algorithm for the integrated scheduling problem of container handling systems in a maritime terminal by Chen, Lu, Bostel, Nathalie, Dejax, Pierre, Cai, Jianguo, Xi, Lifeng

“…The scheduling problem in a container terminal is characterized by the coordination of different types of equipment. In this paper, we present an integrated…”
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Preventive maintenance optimization for a multi-component system under changing job shop schedule by Zhou, Xiaojun, Lu, Zhiqiang, Xi, Lifeng

“…Variability and small lot size is a common feature for many discrete manufacturing processes designed to meet a wide array of customer needs. Because of this,…”
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Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods by Huang, Runqing, Xi, Lifeng, Li, Xinglin, Richard Liu, C., Qiu, Hai, Lee, Jay

“…This paper deals with a new scheme for the prediction of a ball bearing's remaining useful life based on self-organizing map (SOM) and back propagation neural…”
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Retraction Note: Modified box dimension and average weighted receiving time on the weighted fractal networks by Dai, Meifeng, Sun, Yanqiu, Shao, Shuxiang, Xi, Lifeng, Su, Weiyi

“…This paper has been retracted…”
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Classifier-guided multi-style tile image generation method by Lu, Jianfeng, Shi, Mengtao, Song, Chuhua, Zhao, Weihao, Xi, Lifeng, Emam, Mahmoud

“…Image generative models for ceramic tile design lack style diversity and controllability of high-quality generated styles. It is difficult to find a series of…”
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Prediction of surface variation field in face milling via finite element model updating with considering force-deformation coupling by Liu, Shun, Zhang, Xueping, Jin, Sun, Tian, Ang, Chen, Kun, Xi, Lifeng

“…Effective prediction of surface variation is of great helpf for developing and controlling machining process to maintain surface quality during face milling of…”
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On-line classifying process mean shifts in multivariate control charts based on multiclass support vector machines by Du, Shichang, Lv, Jun, Xi, Lifeng

“…In multivariate statistical process control (MSPC), most multivariate control charts can effectively monitor anomalies based on overall statistic, however,…”
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A heuristic for the quay crane scheduling problem based on contiguous bay crane operations by Lu, Zhiqiang, Han, Xiaole, Xi, Lifeng, Erera, Alan L.

“…Quay cranes (QC) are key resources at container terminals, and the efficiency of QC operations is vital for terminal productivity. The Quay Crane Scheduling…”
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Dimensions of slices through a class of generalized Sierpinski sponges by Wu, Wen, Xi, Lifeng

“…In this paper, we discuss the intersections of a class of generalized Sierpinski sponges in Rn with an (n−1)-dimensional hyperplane of integer orthogonal…”
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Dimension of Slices Through Fractals with Initial Cubic Pattern by Xi, Lifeng, Wu, Wen, Xiong, Ying

“…In this paper, the Hausdorff dimension of the intersection of self-similar fractals in Euclidean space R^n generated from an initial cube pattern with an…”
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Modeling and Analyzing a Joint Optimization Policy of Block-Replacement and Spare Inventory With Random-Leadtime by Runqing Huang, Lingling Meng, Lifeng Xi, Liu, C.R.

“…We consider a generalized joint optimization policy of block replacement & periodic review spare inventory with random lead time. According to the relationship…”
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Development of Technology System for High-Quality Manufacturing in China by Lin, Zhongqin, Xi, Lifeng, Xia, Tangbin, Zhao, Yixi, Pan, Ershun, Li, Yanting

“…High-quality manufacturing is an innovative model that supports quality transformation and increases high-quality supply, and it is crucial for upgrading…”
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RETRACTED ARTICLE: Modified box dimension and average weighted receiving time on the weighted fractal networks by Dai, Meifeng, Sun, Yanqiu, Shao, Shuxiang, Xi, Lifeng, Su, Weiyi

“…In this paper a family of weighted fractal networks, in which the weights of edges have been assigned to different values with certain scale, are studied. For…”
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An improved particle swarm optimization for evolving feedforward artificial neural networks by Yu, Jianbo, Xi, Lifeng, Wang, Shijin

“…This paper presents a new evolutionary artificial neural network (ANN) algorithm named IPSONet that is based on an improved particle swarm optimization (PSO)…”
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Intelligent monitoring and diagnosis of manufacturing processes using an integrated approach of KBANN and GA by Yu, Jianbo, Xi, Lifeng, Zhou, Xiaojun

“…In many manufacturing processes, some key process parameters (i.e., system inputs) have very strong relationship with the categories (e.g., normal or various…”
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