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Chris K. Mechefske

Chris K. Mechefske

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
37
Citations
4723
World Ranking
2433
National Ranking
103

Chris K. Mechefske publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Chris K. Mechefske sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 185 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Chris K. Mechefske D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Chris K. Mechefske sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 37 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Chris K. Mechefske is a researcher affiliated with Queen's University in Canada, specializing primarily in the field of Engineering. Mechefske's work focuses on several subfields, including Mechanical Engineering, Control and Systems Engineering, Mechanics of Materials, Electrical and Electronic Engineering, and Civil and Structural Engineering.

Their research covers diverse topics with significant attention to Machine Fault Diagnosis Techniques, Advanced Machining Processes and Optimization, Gear and Bearing Dynamics Analysis, Advanced Machining and Optimization Techniques, Advanced Surface Polishing Techniques, Structural Health Monitoring Techniques, and Hydraulic and Pneumatic Systems.

Mechefske has contributed to scholarly work published in reputable venues frequently, including:

  • Mechanical Systems and Signal Processing
  • arXiv (Cornell University)
  • Measurement
  • International Journal of Hydromechatronics
  • The International Journal of Advanced Manufacturing Technology

Recent published papers by Mechefske or closely associated collaborations include:

  • Analysis of different RNN autoencoder variants for time series classification and machine prognostics (2020) in Mechanical Systems and Signal Processing
  • Adaptive variational mode decomposition and its application to multi-fault detection using mechanical vibration signals (2020) in ISA Transactions
  • Tool wear prediction in high-speed turning of a steel alloy using long short-term memory modelling (2021) in Measurement
  • An adaptive and generalized Wiener process model with a recursive filtering algorithm for remaining useful life estimation (2021) in Reliability Engineering & System Safety
  • Self-supervised learning for tool wear monitoring with a disentangled-variational-autoencoder (2021) in International Journal of Hydromechatronics

Collaboration is a notable aspect of Mechefske's research activities, with frequent co-authors including Yimin Shao, Tim von Hahn, Wennian Yu, Liming Wang, and Dingqiang Peng.

Best Publications

  • Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme

    Wennian Yu;Ii Yong Kim;Chris Mechefske

  • An improved similarity-based prognostic algorithm for RUL estimation using an RNN autoencoder scheme

    Wennian Yu;Il-Yong Kim;Chris K. Mechefske

  • Performance-Based Gas Turbine Health Monitoring, Diagnostics, and Prognostics: A Survey

    Houman Hanachi;Christopher Mechefske;Jie Liu;Avisekh Banerjee

  • USING FUZZY LINGUISTICS TO SELECT OPTIMUM MAINTENANCE AND CONDITION MONITORING STRATEGIES

    Chris K. Mechefske;Zheng Wang

  • Detection of Induction Motor Faults: A Comparison of Stator Current, Vibration and Acoustic Methods

    Weidong Li;Chris K. Mechefske

  • Analysis of different RNN autoencoder variants for time series classification and machine prognostics

    Wennian Yu;Il Yong Kim;Chris Mechefske

  • Dynamic characteristics of helical gears under sliding friction with spalling defect

    Hanjun Jiang;Yimin Shao;Chris K. Mechefske

  • The effects of spur gear tooth spatial crack propagation on gear mesh stiffness

    Wennian Yu;Yimin Shao;Chris K. Mechefske

  • Experimental investigation of reflection in guided wave-based inspection for the characterization of pipeline defects

    Xiaojuan Wang;Peter W. Tse;Chris K. Mechefske;Meng Hua

  • Hybrid data-driven physics-based model fusion framework for tool wear prediction

    Houman Hanachi;Wennian Yu;Il Yong Kim;Jie Liu;Jie Liu

  • Adaptive variational mode decomposition and its application to multi-fault detection using mechanical vibration signals

    Xiuzhi He;Xiuzhi He;Xiaoqin Zhou;Wennian Yu;Yixuan Hou

  • OBJECTIVE MACHINERY FAULT DIAGNOSIS USING FUZZY LOGIC

    C.K. Mechefske

  • Fault detection using transient machine signals

    Markus Timusk;Mike Lipsett;Chris K. Mechefske

  • A study of vibration and vibration control of ship structures

    Tian Ran Lin;Jie Pan;Peter J. O'Shea;Chris K. Mechefske

  • Tool wear prediction in high-speed turning of a steel alloy using long short-term memory modelling

    Mohsen Marani;Mohammadjavad Zeinali;Victor Songmene;Chris K. Mechefske

  • An analytical model to investigate skidding in rolling element bearings during acceleration

    Wenbing Tu;Yimin Shao;Chris K. Mechefske

  • Optimal damping layout in a shell structure using topology optimization

    Sun Yong Kim;Chris K. Mechefske;Il Yong Kim

  • Fault detection and diagnosis in low speed rolling element bearings Part I: The use of parametric spectra

    C.K. Mechefske;J. Mathew

  • Modeling of a Fully Flexible 3PRS Manipulator for Vibration Analysis

    Zili Zhou;Jeff Xi;Chris K. Mechefske

  • Analytical modeling of spur gear corner contact effects

    Wennian Yu;Chris K. Mechefske

  • Drive axle housing failure analysis of a mining dump truck based on the load spectrum

    Yimin Shao;Jing Liu;Chris K. Mechefske

  • Robust detection of gearbox deterioration using compromised autoregressive modeling and Kolmogorov–Smirnov test statistic—Part I: Compromised autoregressive modeling with the aid of hypothesis tests and simulation analysis

    Yimin Zhan;Chris K. Mechefske

Frequent Co-Authors

Yimin Shao
Yimin Shao Chongqing University
Jie Liu
Jie Liu Hunan University
Jie Pan
Jie Pan University of Western Australia
Jing Liu
Jing Liu Chongqing University
Robert B. Randall
Robert B. Randall University of New South Wales
Zhongxiao Peng
Zhongxiao Peng University of New South Wales
Ming J. Zuo
Ming J. Zuo University of Alberta
Peter W. Tse
Peter W. Tse City University of Hong Kong
Joseph S. Gati
Joseph S. Gati University of Western Ontario
Wade A. Smith
Wade A. Smith University of New South Wales

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