Improved empirical mode decomposition method for fault diagnosis of ship electric propulsion system

A technology of empirical mode decomposition and electric propulsion, applied in biological neural network models, neural architecture, character and pattern recognition, etc., can solve the problems of reduced effect of intrinsic mode function decomposition, loss of meaning of EMD decomposition, loss of physical meaning, etc. , to achieve the effect of clear physical meaning, clear meaning of feature extraction, and elimination of modal aliasing
CN109117784APending Publication Date: 2019-01-01SHANGHAI MARITIME UNIVERSITY
15 Cites 13 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI MARITIME UNIVERSITY
Publication Date
2019-01-01

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses an improved empirical mode decomposition method for fault diagnosis of ship electric propulsion system, which comprises the following steps: obtaining fault data of ship electric propulsion system; improved empirical mode decomposition (EMD) being used to obtain the intrinsic mode function (IMF) data from the fault data; RBF neural network being used to analyze the intrinsic mode function data of different parts and the fault reason is obtained. The improved Empirical Mode Decomposition (EMD) process is as follows: signal input; determining an initialization parameter Tby using the cosine window definition; the original data are extended by genetic algorithm. Windowing the data to improve the endpoint effect; Empirical Mode Decomposition for Eliminating Modal Aliasing of Data; The intrinsic mode function data are intercepted. An improved empirical mode decomposition (EMD) method for fault diagnosis of ship electric propulsion system is disclosed, which is suitable for non-stationary, non-linear and multi-component signal characteristics of ship propulsion system fault, so as to improve fault signal analysis capability.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to an improved empirical mode decomposition method for fault diagnosis of a ship's electric propulsion system. Background technique

[0002] With the vigorous development of the maritime industry, electric propulsion systems are widely used on ships. The electric propulsion system is the only source of power for modern ships sailing in isolated seas, and is known as the lifeline of ships. Due to the complexity of the electric propulsion system and the harshness of its operating sea conditions, the ship's electric propulsion system exhibits instability and exceeding The normal dynamic range causes unpredictable ship failures. Therefore, in order to improve the safety of ship operation, reduce unnecessary economic losses, and ensure the safety of crew members, the fault diagnosis of ship electric propulsion systems has attracted the attention and rapid development of scholars.

[0003] Empirical Mode Decomposition (EMD) was first ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More