Wenhao Zou

ORCID: 0000-0002-0367-7493
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About
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Research Areas
  • Machine Fault Diagnosis Techniques
  • Advanced Measurement and Detection Methods
  • Fault Detection and Control Systems
  • Advanced machining processes and optimization
  • Reliability and Maintenance Optimization
  • Gear and Bearing Dynamics Analysis

University of Science and Technology of China
2023

Fault diagnosis plays a vital role in the prognostics and health management (PHM) of industrial equipment systems, but accurate is always challenging practical applications with varying working conditions. In this paper, we propose new novel deep learning model named C-Trans, tailored for fault multiple complex conditions rotating machinery, aiming to addresse demand robust generalized algorithms real-world applications. Specifically, proposed method, which integrates advantages both CNN...

10.1109/tim.2023.3318707 article EN IEEE Transactions on Instrumentation and Measurement 2023-01-01

Accurate and reliable remaining useful life (RUL) estimation for bearings relies on the extraction of desired degradation features from vibration signals. Now, various feature extractors based convolutional neural networks have been proposed RUL prediction achieved great success. However, these approaches focus extracting data in a single time frame but fail to capture information across multiple frames, leading degenerate performance. In this study, we propose novel multi-scale extractor...

10.1109/tim.2023.3268453 article EN IEEE Transactions on Instrumentation and Measurement 2023-01-01

This paper proposes a three-dimensional micro-vibration measurement method based on amplification and tracking to achieve vibration of the target. In environments with excessive lighting, which can hinder effective target tracking, first applies magnification algorithm enlarge image. The enlarged image is then processed using stereo matching align left right camera views. Following this, calculates pixel displacement Finally, target's spatial information derived through dimensional...

10.47852/bonviewaaes52024620 article EN cc-by Archives of Advanced Engineering Science 2025-03-12
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