System and method for fault prediction and on-line evaluation of health state of marine diesel generator

A diesel generator, fault prediction technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as waste and misjudgment, lack of intelligence, hidden safety hazards, etc., to achieve a high degree of intelligence and automation , Smart structure design, reliable work effect

Active Publication Date: 2018-09-11
WUHAN UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0003] Before the present invention, there were relatively few products or methods on the market for fault prediction and repair and maintenance of marine diesel generators, and the traditional "after-event maintenance", "planned maintenance" and "scheduled maintenance" for land equipment were still used more. "Maintenance" method, but this method is increasingly unsuitable for the needs of modern shipping, because in the event of a sudden failure at sea, the crew cannot be given enough time to repair at sea, and external rescue cann...

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  • System and method for fault prediction and on-line evaluation of health state of marine diesel generator

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Embodiment Construction

[0022] In order to better understand the present invention, the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0023] Such as figure 1 As shown, the marine diesel generator failure prediction and health status online assessment system includes a housing 1, a display 4, an alarm 6, a power supply 9 and a data processing device. The data processing device includes a deep learning integration module 5 and a full life cycle historical database. 14. The fault multimodal expert system database 7, the housing is provided with a cavity, and a wireless signal transceiver device 18 is arranged at the middle position of the upper part of the housing, and a data acquisition module 17 is arranged on the left side of the wireless signal transceiver device. The right side of the signal transceiving device is provided with a power start button 2 and a power off button 3, a display is provided directly below the wireless signa...

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Abstract

The invention provides a system and method for fault prediction and on-line evaluation of health state of marine diesel generator, which includes a shell, a displayer, an alertor, a power supply and adata processing device, wherein the data processing device include a deep learning integration module, a full life cycle history database, and a fault multimodal expert system database. The deep learning integration module utilizes an integrated learning method, and includes multiple supervised and unsupervised deep learning network models. The fault multimodal expert system database includes allfault feature databases and corresponding fault category labels, and also comprises a memory, a GPU, a CPU, an external device control interface, a data acquisition module and a wireless signal transceiving device, and realizes automatic monitoring and evaluation of an equipment. The system has the advantages of more accurate and convenient fault prediction, state on-line monitoring and the health evaluation.

Description

technical field [0001] The invention belongs to the technical field of fault prediction and health assessment of marine diesel generators, and in particular relates to a system and method for fault prediction and health status online evaluation of marine diesel generators. Background technique [0002] With the rapid improvement of modern technology and advanced manufacturing technology, ships are developing in the direction of large-scale, intelligent, automated, integrated and multi-functional. As one of the important power sources of large ships, marine diesel generators are important for ensuring high efficiency and stability of ships. Sailing has an irreplaceable role. Marine diesel generators operate continuously for a long time under complex and changeable sea conditions, with heavy workloads, variable loads, frequent switching between paralleling and electrolysis, and are prone to various failures due to the influence of salt-alkali corrosion and high temperature. L...

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Application Information

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IPC IPC(8): G06F17/30G06N99/00
Inventor 陈辉宫文峰张泽辉管聪高海波
Owner WUHAN UNIV OF TECH
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