Key device-based method and apparatus for predicting service life of marine electrical equipment

Abstract

The invention relates to a key device-based method and a key device-based apparatus for predicting the service life of marine electrical equipment. The method comprises the steps of pre-inputting thedevice information; decomposing the key devices of the equipment; according to the influence factors of the service lives of devices, respectively establishing a service life calculation model for each key device according to the environment temperature, the humidity, the vibration, the electric conductivity coefficient and the working condition parameters thereof, wherein models corresponding todifferent types of devices are different; according to the actual environment parameters and the running working conditions of devices, calculating the remaining lives of devices; according to the remaining lives of devices, dividing the health degree of the equipment, and formulating the maintenance plan of the equipment and the spare part planning suggestion of the equipment. According to the invention, firstly, the key devices of the electrical equipment are classified, and the service life of each device is predicted. In this way, the service life of the equipment is predicted. According to the service life of the equipment, the level reliability of both the equipment and the devices of the equipment can be estimated. According to the service life conditions of the equipment and the key devices, the priority division is carried out. Meanwhile, the maintenance plan and the spare part plan are formulated. The equipment utilization rate is improved, and the inventory cost is reduced.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis and prediction of electrical equipment, in particular to a method and device for life prediction of marine electrical equipment based on key components. Background technique [0002] As an important part of ship operation, ship electrical equipment has an important impact on the operation of ships. How to provide scientific and reasonable diagnostic methods for fault diagnosis or health prediction of ship electrical equipment is a challenge faced by the shipbuilding industry. problem. With the rapid development of the Internet of Things and big data, it provides a new development direction for the fault diagnosis or health prediction of marine electrical equipment. [0003] Chinese patent: An expert system and establishment method for fault diagnosis of ship electric propulsion system (Patent No.: CN104331543), this patent provides a fault diagnosis expert system and establishment method ...

AI Technical Summary

Problems solved by technology

[0003] Chinese patent: An expert system and establishment method for fault diagnosis of ship electric propulsion system (Patent No.: CN104331543), this patent provides a fault diagnosis expert system and establishment method for ship electric propulsion system, which solves the current fault diagnosis of ship electric propulsion system Problems such as difficult knowledge acquisition, fuzzy knowledge processing and slow reasoning speed in traditional expert systems

[0006] The above example methods all need to obtain a large amount of data and have high data requirements, the algorithm is complex, and it is impossible to predict the usage status and life of the equipment, and it is impossible to intuitively know the usage status of the equipment, especially its key components.

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