国际化教学部

Anil Kumar-博士

发布时间:2025-06-20 浏览量:

所在部门(必填)机电工程学院
(系部)国际化教学部
(研究所)温州大学装备监控与智能运维研究所
E-Mail:20210129@wzu.edu.cn
个人主页: https://www.researchgate.net/profile/Anil-Kumar-340?ev=hdr_xprf


研究方向

故障诊断、信号处理和人工智能

基本介绍

根据斯坦福大学的单年数据(发布于2022年),本人一直在2%的学者名单中。主要研究方向为复杂机械系统的缺陷识别/测量、缺陷预测:传动、转子、离心泵、轴流泵等液压机械。在SCI期刊发表论文43篇。曾担任7种SCI期刊客座编辑。总共被引用了1047次。

主要工作经历

·2021.3至今 温州大学机电工程学院教师
·2016.12-2021.3 印度亚米提大学亚米提理工学院助理教授
·2012.7-2016.12印度隆格奥瓦尔圣朗格瓦尔工程技术学院助教
·2010.2-2012.7印度凯塔尔哈里亚纳邦技术和管理学院助理教授
·2007.7-2008.2 金达尔钢铁电力有限公司工程实习生

获奖情况

 

承担项目

 

学术任职

曾担任爱思唯尔《测量与应用声学》等7种SCI期刊客座编辑

学术成果

  • Yuqing Zhou, Anil Kumar*, Chander Parkash, Govind Vashishtha, Hesheng Tang, Jiawei Xiang, (2022) A novel entropy-based sparsity measure for prognosis of bearing defects and development of a sparsogram to select sensitive filtering band of an axial piston pump. Measurement. 208. 111997 (Elsevier publication) Available online at: https://doi.org/10.1016/j.measurement.2022.111997.  

  • Anil Kumar, C.P. Gandhi, Govind Vashishtha, Hesheng Tang, Pradeep Kundu, Jiawei Xiang, (2022) State-space modeling and novel entropy-based health indicator for dynamic degradation monitoring of rolling element bearing. Reliability Engineering & System Safety. 221. 108356 (Elsevier publication. I.F.: 7.24) Available online at: https://doi.org/10.1016/j.ress.2022.108356.  

  • Anil Kumar, Hesheng Tang, Govind Vashishtha, Jiawei Xiang, (2022) Noise subtraction and marginal enhanced square envelope spectrum (MESES) for the identification of bearing defects in centrifugal and axial pump. Mechanical Systems and Signal Processing. 165. 108366 (Elsevier publication. I.F.: 8.93) Available online at: https://doi.org/10.1016/j.ymssp.2021.108366.  

  • Anil Kumar, C.P. Gandhi, Hesheng Tang, Govind Vashishtha, Rajesh Kumar, Yuqing Zhou, Jiawei Xiang (2022) Adaptive sensitive frequency band selection for VMD to identify defective components of an axial piston pump. Chinese Journal of Aeronautics. 70. 35(1): 250–265 (Elsevier). I.F.: 4.06) Available online at:  https://doi.org/10.1016/j.cja.2020.12.037.

  • Anil Kumar, Govind Vashishtha, C.P. Gandhi, Hesheng Tang, Jiawei Xiang, (2021) Tacho-less sparse CNN to detect defects in rotor-bearing systems at varying speed. Engineering Applications of Artificial Intelligence. 104. 104401 (Elsevier publication. I.F.: 7.80) Available online at: https://doi.org/10.1016/j.engappai.2021.104401.  

  • Anil Kumar, Govind Vashishtha, C.P. Gandhi, Hesheng Tang, Jiawei Xiang, (2021) Sparse transfer learning for identifying rotor and gear defects in the mechanical machinery. Measurement. 208. 106453 (Elsevier publication. I.F.: 5.13) Available online at: href="https://doi.org/10.1016/j.measurement.2021.109494"  title="Persistent link using digital object identifier" https://doi.org/10.1016/j.measurement.2021.109494.  

  • Anil Kumar, C.P. Gandhi, Yuqing Zhou, Govind Vashishtha, Rajesh Kumar, Jiawei Xiang, (2020) Improved CNN for the diagnosis of engine defects of 2-wheeler vehicle using wavelet synchro-squeezed transform (WSST). Knowledge-based Systems 208. 106453 (Elsevier publication. I.F.: 8.13) Available online at: https://doi.org/10.1016/j.knosys.2020.106453.  

  • Anil Kumar, Govind Vashishtha, C.P. Gandhi, Yuqing Zhou, Jiawei Xiang. (2021) Novel convolutional neural network (NCNN) for the diagnosis of bearing defects in rotary machinery. IEEE Transactions on Instrumentation and Measurement 70. 3510710 (IEEE Publication. IF: 5.33)) Available online at:  https://doi.org/10.1109/TIM.2021.3055802.

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