World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
7563
World Ranking
5197
National Ranking
1013

Overview

Lifeng Xi is affiliated with Shanghai Jiao Tong University in China and focuses primarily on engineering research. Their work spans several subfields of study within engineering, including Control and Systems Engineering, Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality, Mechanical Engineering, and Mechanics of Materials.

The main topics covered by Lifeng Xi's publications include machine fault diagnosis techniques, reliability and maintenance optimization, industrial vision systems and defect detection, fault detection and control systems, quality and supply management, manufacturing process and optimization, as well as gear and bearing dynamics analysis.

Frequent coauthors of Lifeng Xi include Tangbin Xia, Dong Wang, Ershun Pan, Guojin Si, and Tongtong Yan, indicating ongoing collaborative research efforts in these areas.

Key recent papers authored or coauthored by Lifeng Xi are:

  • The sum of weighted normalized square envelope: A unified framework for kurtosis, negative entropy, Gini index and smoothness index for machine health monitoring (2020), Mechanical Systems and Signal Processing
  • Theoretical and Experimental Investigations on Spectral Lp/Lq Norm Ratio and Spectral Gini Index for Rotating Machine Health Monitoring (2020), IEEE Transactions on Automation Science and Engineering
  • Generalized Gini indices: Complementary sparsity measures to Box-Cox sparsity measures for machine condition monitoring (2021), Mechanical Systems and Signal Processing
  • State space modelling of variation propagation in multistage machining processes for variable stiffness structure workpieces (2020), International Journal of Production Research
  • Opportunistic maintenance policy integrating leasing profit and capacity balancing for serial-parallel leased systems (2020), Reliability Engineering & System Safety

The most frequent publication venues for Lifeng Xi's research include Mechanical Systems and Signal Processing, Reliability Engineering & System Safety, IEEE Transactions on Reliability, IEEE Transactions on Automation Science and Engineering, and Advanced Engineering Informatics.

Best Publications

  • Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods

    Runqing Huang;Lifeng Xi;Xinglin Li;C. Richard Liu

  • Reliability-centered predictive maintenance scheduling for a continuously monitored system subject to degradation

    Xiaojun Zhou;Lifeng Xi;Jay Lee

  • A tabu search algorithm for the integrated scheduling problem of container handling systems in a maritime terminal

    Lu Chen;Lu Chen;Nathalie Bostel;Pierre Dejax;Jianguo Cai

  • Letters: Evolving artificial neural networks using an improved PSO and DPSO

    Jianbo Yu;Shijin Wang;Lifeng Xi

  • A proactive approach for simultaneous berth and quay crane scheduling problem with stochastic arrival and handling time

    Xiao-le Han;Zhi-qiang Lu;Li-feng Xi

  • Recent advances in prognostics and health management for advanced manufacturing paradigms

    Tangbin Xia;Yifan Dong;Lei Xiao;Shichang Du

  • An ensemble framework based on convolutional bi-directional LSTM with multiple time windows for remaining useful life estimation

    Tangbin Xia;Ya Song;Yu Zheng;Ershun Pan

  • Empirical analysis of support vector machine ensemble classifiers

    Shi-jin Wang;Avin Mathew;Yan Chen;Li-feng Xi

  • The sum of weighted normalized square envelope: A unified framework for kurtosis, negative entropy, Gini index and smoothness index for machine health monitoring

    Dong Wang;Zhike Peng;Lifeng Xi

  • Opportunistic preventive maintenance scheduling for a multi-unit series system based on dynamic programming

    Xiaojun Zhou;Lifeng Xi;Jay Lee

  • Production-driven opportunistic maintenance for batch production based on MAM-APB scheduling

    Tangbin Xia;Tangbin Xia;Xiaoning Jin;Lifeng Xi;Jun Ni

  • Single-machine-based production scheduling model integrated preventive maintenance planning

    Ershun Pan;Wenzhu Liao;Lifeng Xi

  • An Improved Particle Swarm Optimization for Evolving Feedforward Artificial Neural Networks

    Jianbo Yu;Lifeng Xi;Shijin Wang

  • Preventive maintenance scheduling for repairable system with deterioration

    Wenzhu Liao;Ershun Pan;Lifeng Xi

  • A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes

    Jian-bo Yu;Li-feng Xi

  • Dynamic maintenance decision-making for series–parallel manufacturing system based on MAM–MTW methodology

    Tangbin Xia;Lifeng Xi;Xiaojun Zhou;Jay Lee

  • Preventive maintenance optimization for a multi-component system under changing job shop schedule

    Xiaojun Zhou;Zhiqiang Lu;Lifeng Xi

  • Preventive maintenance modeling for multi-component systems with considering stochastic failures and disassembly sequence

    Xiaojun Zhou;Kaimin Huang;Lifeng Xi;Jay Lee

  • A preventive maintenance model for leased equipment subject to internal degradation and external shock damage

    Xiaojun Zhou;Changjie Wu;Yanting Li;Lifeng Xi

  • A joint model of production scheduling and predictive maintenance for minimizing job tardiness

    Ershun Pan;Wenzhu Liao;Lifeng Xi

  • Intelligent monitoring and diagnosis of manufacturing processes using an integrated approach of KBANN and GA

    Jianbo Yu;Lifeng Xi;Xiaojun Zhou

  • Identifying source(s) of out-of-control signals in multivariate manufacturing processes using selective neural network ensemble

    Jianbo Yu;Lifeng Xi;Xiaojun Zhou

Frequent Co-Authors

Jay Lee
Jay Lee University of Maryland, College Park
Jianbo Yu
Jianbo Yu Tongji University
Dong Wang
Dong Wang Shanghai Jiao Tong University
Lin Li
Lin Li University of Illinois at Chicago
Zhike Peng
Zhike Peng Shanghai Jiao Tong University
Siliang Lu
Siliang Lu Anhui University
Fugee Tsung
Fugee Tsung Hong Kong University of Science and Technology
Jianjun Shi
Jianjun Shi Georgia Institute of Technology

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