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Fault prediction method based on pile gripper hydraulic system and pile gripper hydraulic system

A hydraulic system and fault prediction technology, which is applied in the field of pile holder hydraulic system, can solve problems such as equipment degradation and faults, and achieve the effect of preventing faults

Active Publication Date: 2021-05-04
KEEN OFFSHORE ENG CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the operation of the pile holder at sea, it is affected by various environmental factors such as waves. Over time, the equipment will deteriorate and cause failures
At present, there is no method to predict the failure of the hydraulic system of the pile holder

Method used

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  • Fault prediction method based on pile gripper hydraulic system and pile gripper hydraulic system

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Embodiment Construction

[0048] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and through specific implementation methods.

[0049] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0050] In describing the present invention, it should be understood that the terms "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", "vertical", " The orientations or positional relationships indicated by "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientations or positional relationships shown in the ...

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Abstract

The invention discloses a fault prediction method based on a pile gripper hydraulic system and the pile gripper hydraulic system. The fault prediction method comprises the following steps: data acquisition: acquiring real-time data of a pile gripper; variable screening: variables related to the hydraulic system are screened out from the collected real-time data to serve as input, and whether the hydraulic system breaks down or not serves as output; splitting a data set: splitting the data set into a training set and a test set; constructing a neural network: constructing a deep neural network model according to the data set; data set training: importing a training sample into a neural network model for training; data prediction: importing a test sample into the neural network model and outputting a prediction result; and outputting a judgment result. The invention aims to provide the fault prediction method based on the pile gripper hydraulic system and the pile gripper hydraulic system, which can predict possible hydraulic faults.

Description

technical field [0001] The invention relates to the technical field of offshore wind power equipment, in particular to a fault prediction method based on a hydraulic system of a pile holder and the hydraulic system of the pile holder. Background technique [0002] Industrial big data is the data generated in the application of informatization in the industrial field, including information management system data, machine equipment data and external data. Industrial big data technology integrates data collection, data storage, data analysis, data mining, and data visualization. Using advanced big data technology, it runs through all aspects of industrial design, industry, production, management, and service, making industrial systems Models and results with intelligent functions such as description, diagnosis, prediction, decision-making, and control. [0003] The pile holding device is a professional equipment to solve the difficulties in piling construction of offshore wind...

Claims

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Application Information

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IPC IPC(8): F15B19/00G06N3/04G06N3/08G06N20/00E02D13/04
CPCF15B19/005G06N3/08G06N20/00E02D13/04G06N3/045Y04S10/50
Inventor 吴韩吴平平魏千洲秦昊刘会涛张帅君邓达纮陈凯欣马振军黄记想
Owner KEEN OFFSHORE ENG CO LTD
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