Company Filing History:
Years Active: 2023-2024
Title: Innovations of Changqing Shen in Bearing Fault Diagnosis
Introduction
Changqing Shen is a prominent inventor based in Suzhou, China. He has made significant contributions to the field of bearing fault diagnosis through his innovative methods and technologies. With a total of five patents to his name, Shen's work focuses on enhancing the reliability and efficiency of bearing systems under various working conditions.
Latest Patents
One of Shen's latest patents is the "Dynamic joint distribution alignment network-based bearing fault diagnosis method under variable working conditions." This invention provides a comprehensive approach to diagnosing bearing faults by acquiring vibration data under different conditions. It establishes a deep convolutional neural network model that optimizes the diagnosis process through advanced feature extraction and distance calculations.
Another notable patent is the "Method for predicting bearing life based on hidden Markov model and transfer learning." This method involves predicting the life of rolling bearings by utilizing a hidden Markov model and transfer learning techniques. It includes steps for acquiring original signals, extracting feature sets, and constructing a multilayer perceptron model to predict the remaining life of bearings effectively.
Career Highlights
Changqing Shen is affiliated with Soochow University, where he continues to advance research in the field of mechanical engineering and fault diagnosis. His innovative approaches have garnered attention in academic and industrial circles, contributing to the development of more reliable bearing systems.
Collaborations
Shen collaborates with esteemed colleagues such as Jun Wang and Juanjuan Shi. Their combined expertise enhances the research and development efforts in bearing fault diagnosis and related technologies.
Conclusion
Changqing Shen's contributions to bearing fault diagnosis through his innovative patents demonstrate his commitment to advancing technology in this field. His work not only improves the understanding of bearing systems but also paves the way for future innovations.
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