World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
51
Citations
12510
World Ranking
1095
National Ranking
132

Overview

Yanyang Zi is affiliated with Xi'an Jiaotong University in China, focusing research primarily in the field of Engineering. Their work spans several subfields including Control and Systems Engineering, Mechanical Engineering, Mechanics of Materials, Artificial Intelligence, and Civil and Structural Engineering.

The scientist's research concentrates on key topics such as Machine Fault Diagnosis Techniques, Fault Detection and Control Systems, Gear and Bearing Dynamics Analysis, Engineering Diagnostics and Reliability, Anomaly Detection Techniques and Applications, Structural Health Monitoring Techniques, and Reliability and Maintenance Optimization.

Yanyang Zi has contributed to multiple peer-reviewed publications, many of which appear in leading journals including:

  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Transactions on Neural Networks and Learning Systems
  • Mechanical Systems and Signal Processing
  • ISA Transactions
  • Scientific Reports

Recent notable papers authored or co-authored by Yanyang Zi are:

  • "Whitening-Net: A Generalized Network to Diagnose the Faults Among Different Machines and Conditions" (2021), published in IEEE Transactions on Neural Networks and Learning Systems
  • "Causal Disentanglement: A Generalized Bearing Fault Diagnostic Framework in Continuous Degradation Mode" (2021), published in IEEE Transactions on Neural Networks and Learning Systems
  • "A reliable feature-assisted contrastive generalization net for intelligent fault diagnosis under unseen machines and working conditions" (2022), published in Mechanical Systems and Signal Processing
  • "A Novel Multitask Adversarial Network via Redundant Lifting for Multicomponent Intelligent Fault Detection Under Sharp Speed Variation" (2021), published in IEEE Transactions on Instrumentation and Measurement
  • "Incremental Novelty Identification From Initially One-Class Learning to Unknown Abnormality Classification" (2021), published in IEEE Transactions on Industrial Electronics

The scientist frequently collaborates with other researchers such as Jinglong Chen, Yu Wang, Zhen Shi, Jie Li, and Zitong Zhou, with whom they have co-authored multiple publications.

Best Publications

  • Application of the EEMD method to rotor fault diagnosis of rotating machinery

    Yaguo Lei;Zhengjia He;Yanyang Zi

  • Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs

    Yaguo Lei;Zhengjia He;Yanyang Zi;Qiao Hu

  • Application of an improved kurtogram method for fault diagnosis of rolling element bearings

    Yaguo Lei;Jing Lin;Zhengjia He;Yanyang Zi

  • Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble

    Qiao Hu;Zhengjia He;Zhousuo Zhang;Yanyang Zi

  • Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review

    Jinglong Chen;Zipeng Li;Jun Pan;Gaige Chen

  • A new approach to intelligent fault diagnosis of rotating machinery

    Yaguo Lei;Zhengjia He;Yanyang Zi

  • Independence-oriented VMD to identify fault feature for wheel set bearing fault diagnosis of high speed locomotive

    Zipeng Li;Jinglong Chen;Yanyang Zi;Jun Pan

  • Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals

    Jinglong Chen;Jun Pan;Zipeng Li;Yanyang Zi

  • EEMD method and WNN for fault diagnosis of locomotive roller bearings

    Yaguo Lei;Zhengjia He;Yanyang Zi

  • A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem

    Yu Wang;Yizhen Peng;Yanyang Zi;Xiaohang Jin

  • Application of an intelligent classification method to mechanical fault diagnosis

    Yaguo Lei;Zhengjia He;Yanyang Zi

  • LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification

    Jun Pan;Yanyang Zi;Jinglong Chen;Zitong Zhou

  • Enhancement of signal denoising and multiple fault signatures detecting in rotating machinery using dual-tree complex wavelet transform

    Yanxue Wang;Zhengjia He;Yanyang Zi

  • New clustering algorithm-based fault diagnosis using compensation distance evaluation technique

    Yaguo Lei;Zhengjia He;Yanyang Zi;Xuefeng Chen

  • A multidimensional hybrid intelligent method for gear fault diagnosis

    Yaguo Lei;Ming J. Zuo;Zhengjia He;Yanyang Zi

  • Study of frequency-shifted and re-scaling stochastic resonance and its application to fault diagnosis

    Jiyong Tan;Xuefeng Chen;Junying Wang;Huaxin Chen

  • A Comparative Study on the Local Mean Decomposition and Empirical Mode Decomposition and Their Applications to Rotating Machinery Health Diagnosis

    Yanxue Wang;Zhengjia He;Yanyang Zi

  • An improved time-varying mesh stiffness algorithm and dynamic modeling of gear-rotor system with tooth root crack

    Zhiguo Wan;Hongrui Cao;Yanyang Zi;Wangpeng He

  • Automatic fault feature extraction of mechanical anomaly on induction motor bearing using ensemble super-wavelet transform

    Wangpeng He;Yanyang Zi;Binqiang Chen;Binqiang Chen;Feng Wu

  • Mesh stiffness calculation using an accumulated integral potential energy method and dynamic analysis of helical gears

    Zhiguo Wan;Hongrui Cao;Yanyang Zi;Wangpeng He

  • Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment

    Jun Pan;Jinglong Chen;Yanyang Zi;Yueming Li

  • A demodulation method based on improved local mean decomposition and its application in rub-impact fault diagnosis

    Yanxue Wang;Zhengjia He;Yanyang Zi

Frequent Co-Authors

Zhengjia He
Zhengjia He Xi'an Jiaotong University
Yaguo Lei
Yaguo Lei Xi'an Jiaotong University
Xuefeng Chen
Xuefeng Chen Xi'an Jiaotong University
Hongrui Cao
Hongrui Cao Xi'an Jiaotong University
Kwok-Leung Tsui
Kwok-Leung Tsui Virginia Tech
Ivan W. Selesnick
Ivan W. Selesnick New York University
Ming J. Zuo
Ming J. Zuo University of Alberta
Dong Wang
Dong Wang Peking University
Jing Lin
Jing Lin Beihang University
Tommy W. S. Chow
Tommy W. S. Chow City University of Hong Kong

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Mechanical and Aerospace Engineering often leads students to consider complementary fields that can enhance their skills and career prospects. For those interested in combining technical expertise with human-centered approaches, pursuing an easiest degree in counseling online may provide valuable insights into behavioral dynamics and teamwork within engineering projects.

Additionally, professionals seeking specialized credentials might explore the fastest BCBA program to gain a deeper understanding of behavior analysis, which can be applied in design thinking and user experience improvements in aerospace systems.

For those interested in communication disorders that can impact team interaction or pilot performance, looking into SLP graduate programs is essential. Understanding the academic requirements and acceptance rates helps prospective students plan effectively.

Moreover, if speed and accessibility are priorities, checking out the easiest SLP grad schools to get into offers options that balance rigorous training with manageable admission criteria, making it easier for engineers to diversify their qualifications.

Best Scientists Citing Yanyang Zi

Trending Scientists

Recently Published Articles