Experimental platform used for simulation and diagnosis of working conditions of shipping power system and based on intelligent engine room

A power system and experiment platform technology, applied in the field of ship power system operating condition simulation and diagnosis experiment platform based on intelligent engine room, can solve problems such as monitoring and intelligent analysis without consideration, achieve the function of practical operation and ensure accuracy efficiency, waste reduction effect

Active Publication Date: 2017-05-24
WUHAN UNIV OF TECH
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Problems solved by technology

This patent only proposes a simulation test bench for ship power plant, and does not take into account the monitoring and int

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  • Experimental platform used for simulation and diagnosis of working conditions of shipping power system and based on intelligent engine room
  • Experimental platform used for simulation and diagnosis of working conditions of shipping power system and based on intelligent engine room
  • Experimental platform used for simulation and diagnosis of working conditions of shipping power system and based on intelligent engine room

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Embodiment Construction

[0044] The ship power system operating condition simulation and diagnosis experiment platform based on the intelligent engine room provided by the present invention is a semi-physical simulation experiment system, which mainly consists of real-time simulation industrial computer, shafting platform, sensor, electrical control cabinet, and oil online monitoring and other equipment. The motor is used to simulate the main engine of the ship to provide power for the test bench, and the crankshaft of a six-cylinder diesel engine is used to simulate the moment of inertia, while the flywheel of the diesel engine, the turning mechanism, the elastic coupling, the reverse clutch reduction gearbox, the shaft system and the electric dynamometer All are calculated and selected in kind. Then use the gear oil on-line monitoring system, gearbox on-line monitoring system, shaft power monitoring system, bearing vibration on-line monitoring system, friction torque on-line monitoring system, hydra...

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Abstract

The invention discloses an experimental platform used for simulation and diagnosis of working conditions of a shipping power system and based on an intelligent engine room. The experimental platform is mainly composed of a shipping power system simulation experiment platform frame, a datum monitoring and failure diagnosis platform body (5) installed on the experiment platform frame and an oil liquid on-line monitoring module (6) connected with the datum monitoring and failure diagnosis platform body (5) through signal lines. The oil liquid on-line monitoring module (6) is connected into a pipeline lubrication system of the experimental platform in parallel. According to the experimental platform used for simulation and diagnosis of the working conditions of the shipping power system and based on the intelligent engine room, simulation of different working conditions of the shipping power system can be achieved, and torque monitoring, vibration monitoring and shaft power monitoring of the shipping power system and a shaft system as well as on-line monitoring of states of lubricating oil and hydraulic oil under different working conditions can be achieved; by combining an intelligent machine learning method, under supporting of a great number of monitoring data, failure diagnosis and state evaluation of the shipping power system under an intelligent engine room framework are achieved; and the experimental platform can be used as a target platform of an intelligent on-line monitoring and diagnosis system.

Description

technical field [0001] The invention relates to a ship power system operating condition simulation and diagnosis experiment platform based on an intelligent engine room, which can simulate different working conditions and various faults of the ship power system, and complete the test of the ship power system under different working conditions with the cooperation of the test system. The real-time monitoring of the state, with the support of a large amount of monitoring data, uses statistical machine learning methods to analyze and learn the data, obtain the changing trend of the shafting and bearing state and potential fault information, and give early warning and reminder in time. Background technique [0002] With the continuous improvement of shipbuilding technology, installation process and quality requirements in the shipbuilding industry and the proposal of "energy saving and emission reduction", higher requirements are put forward for the performance of the ship power ...

Claims

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Application Information

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IPC IPC(8): B63B9/00
CPCB63B71/00Y02T70/10
Inventor 杨琨高勇严新平
Owner WUHAN UNIV OF TECH
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