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Ship power system fault diagnosis method

A power system and fault diagnosis technology, applied in the field of ship power system, can solve problems such as low motion precision and slow response

Inactive Publication Date: 2021-03-26
SHANGHAI MARITIME UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to achieve the above purpose, the present invention provides a fault diagnosis method for a ship's power system, which can be more rapid, accurate and quickly reduce errors, and solve the problems of low motion accuracy and slow response in the prior art

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Embodiment Construction

[0029] In order to make the objectives, technical solutions and advantages of the invention clearer, the present invention will be further described below in conjunction with specific embodiments.

[0030] figure 1 It is a schematic flow chart of the ship electrical fault diagnosis method of the present invention, describing the flow process of the ship electrical fault diagnosis method, first collecting the ship electrical system fault signal, then performing wavelet transform processing on the signal, extracting the eigenvalues ​​in the signal, and dividing the processed signal into Training set and test set, and then train and learn the vector quantization network model to diagnose and classify faults. When the error value of the diagnosis result is less than the error threshold or reaches the upper limit of the iteration, the model has been trained. At this time, the test data is input into the LVQ neural network. In the model, it is used to diagnose the fault of the ship'...

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Abstract

The invention discloses a ship power system fault diagnosis method, which is a fault diagnosis method for preprocessing fault acquisition signals on the basis of learning vector quantization network prediction to achieve higher precision. Feature values of fault signals are extracted through wavelet transform to serve as input of a learning vector quantization network, fault classification is achieved in the process, and a trained model is used for diagnosing faults. According to the method, the fault diagnosis of the ship power system is realized, the diagnosis accuracy of the optimized algorithm is obviously improved, and the neural network training times and errors are reduced. Compared with a common ship power system fault diagnosis method, the reliability and practicability of ship power system fault diagnosis are enhanced, and the speed and effectiveness of fault diagnosis are improved.

Description

technical field [0001] The invention relates to the technical field of ship power systems, in particular to a fault diagnosis method for ship power systems. Background technique [0002] The development of marine energy is becoming more and more extensive in human society, and the utilization rate of new offshore energy is getting higher and higher. At the same time, the demand for marine power systems is increasing. The ship power system is an important part of the ship and an important symbol of ship technology. The working environment of the ship's power system is special and relatively independent. When a fault occurs, it will greatly endanger the safety of the ship's navigation, and it is of great significance to ensure the safe and stable operation of the ship. Fault diagnosis of the power system of ships using electric propulsion systems has become an important task in the daily maintenance of ships. The rapid expansion of the demand for the ship's power system red...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/08G06N3/04G06N3/08
CPCG01R31/088G06N3/04G06N3/08
Inventor 丁一
Owner SHANGHAI MARITIME UNIVERSITY
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