Bạn đang xem bản rút gọn của tài liệu. Xem và tải ngay bản đầy đủ của tài liệu tại đây (81.32 KB, 2 trang )
BRIEF OVERVIEW OF NEW RESULTS OF THE DOCTORAL THESIS
(Information to be posted on the Website)
Topic of the thesis: Fault diagnosis of gearboxes using time-frequency analysis of
mechanical vibrations
Specialization: Engineering Mechanics – Code No: 62520101
Name of PhD. Student: Nguyen Trong Du
Supervisor: Assoc. Prof. Dr
.
Nguyen Phong Dien
Training Institution: Hanoi University of Science and Technology
Brief overview of the new results of the thesis
On the theoretical aspect:
- Systematic presentation of the mathematical background of some linear time-
frequency transforms such as Windowed Fourier Transform (WFT), Continuous Wavelet
Transform (CWT) and the Wavelet-based Synchrosqueezing Transform (WSST);
development of the corresponding algorithms and a computer program in MATLAB for
these transforms.
- Propose a solution to increase the resolution of the time-frequency distribution of a
vibration signal using the WSST.
- Propose an integrated approach between Wavelet Packet Transform and Artificial
Neural Network to automatically detect and classify some type of faults of rotating elements
in a gearbox.
In terms of applications:
- Successful application of new and modern signal processing methods such as
Generalized Synchrosqueezing Transform (GST) to increase the diagnostic accuracy.
- Suggestion and application of an improved method of time-synchronous averaging
(TSA) for fault detection in multi-stage gearboxes using only one tachometer or without
tachometer. The proposed TSA-method is significant in reducing the cost of equipment for