Ship power system failure diagnosis method based on ensemble learning

A technology of power system and fault diagnosis, applied in the direction of registration/indication of vehicle operation, instrument, character and pattern recognition, etc., can solve the problems of large amount of data, imperfect reasoning method, high operating cost, and achieve high judgment accuracy, The effect of improving data utilization

Active Publication Date: 2018-12-07
GUANGDONG OCEAN UNIVERSITY
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Problems solved by technology

Moreover, in recent years, the world economy and trade have been down, and the global shipping market has suffered a lot. Problems such as high operating costs, low profits, and insufficient safety have been plaguing the traditional shipping industry. How to reduce operating costs is a common concern in the shipping industry.
However, there are many problems to be solved in the fault diagnosis of the mainframe, such as large amount of data, redundancy, imperfect reasoning means and insufficient expert knowledge, etc.
In addition, data information may be incomplete, inaccurate or even conflicting

Method used

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  • Ship power system failure diagnosis method based on ensemble learning
  • Ship power system failure diagnosis method based on ensemble learning
  • Ship power system failure diagnosis method based on ensemble learning

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Embodiment Construction

[0038] The specific embodiment of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0039]It should be noted that, in the following specific embodiments, when describing the embodiments of the present invention in detail, in order to clearly show the structure of the present invention for the convenience of description, the structures in the drawings are not drawn according to the general scale, and are drawn Partial magnification, deformation and simplification are included, therefore, it should be avoided to be interpreted as a limitation of the present invention.

[0040] In the following specific embodiments of the present invention, please refer to figure 1 , figure 1 It is a flowchart of the present invention. as the picture shows,

[0041] A method for fault diagnosis of ship power system based on integrated learning, characterized in that it comprises the following steps:

[0042] Step S01: collect samp...

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Abstract

The invention discloses a ship power system failure diagnosis method based on ensemble learning; based on the ensemble learning, a plurality of weak classifiers having difference are established, so that simple failure type determination is respectively carried out to a test sample, thereby obtaining differential prediction results and further forming strong classifiers. The method can diagnose failures of a main engine of a ship intelligently.

Description

technical field [0001] The invention belongs to the field of ship system equipment fault diagnosis, and in particular relates to a ship power system fault diagnosis method based on integrated learning. Background technique [0002] In recent years, there has been a wave of smart ship construction at home and abroad. Smart ships belong to the comprehensive application of multidisciplinary advanced technologies. It makes full use of technological innovations in sensors, advanced materials, communications, etc., as well as emerging artificial intelligence technologies such as big data and machine learning, to realize the automation and intelligence of ship control and monitoring management. Widely hailed as the next technological revolution in shipping and shipbuilding. Moreover, in recent years, the world economy and trade have been down, and the global shipping market has suffered a lot. Problems such as high operating costs, low profits, and insufficient safety have been pl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07C5/08G06K9/62
CPCG07C5/0808G06F18/24317
Inventor 贾宝柱仲国强肖峰
Owner GUANGDONG OCEAN UNIVERSITY
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