System and method for predicting residual life of ship power equipment

Abstract

The invention discloses a method for predicting the residual life of ship power equipment. The method comprises the following steps: step 1, collecting data of the ship power equipment; 2, forming two residual life prediction samples; 3, forming two multi-dimensional gray scale residual life prediction samples; 4, substituting the training set into the improved TCN model, and converting multi-dimensional data into a one-dimensional feature vector; 5, deep features of the data are extracted, and the multi-layer fusion model outputs weights of parameters with large influences; 6, obtaining a residual life prediction model, normalizing the test set of the residual life prediction samples, inputting the normalized test set into the residual life prediction model, and outputting health factors; 7, performing linear regression prediction on the output health factor to obtain a health factor at the current operation moment; and 8, predicting the real-time residual life of the ship power equipment. According to the method, equipment part corrosion data is introduced on the basis of traditional service life prediction data, so that prediction errors are reduced.

Description

technical field [0001] The invention relates to the technical field of residual life prediction of marine equipment, in particular to a system and method for predicting the residual life of marine power equipment. Background technique [0002] Ship power equipment is an important supporting equipment for ships. These devices are distributed in all positions of the ship, with a large number and wide distribution. However, most of the current power equipment still stays in simple control or only realizes state monitoring. In order to avoid sudden accidents and economic losses caused by the sudden failure of power equipment, it is necessary to predict the remaining life of the equipment, make emergency treatment plans in advance, and provide safe and reliable guarantees for its normal operation. Due to the uncertainty of the operating conditions of the equipment and the complexity of the working environment, there must be some abnormal points and noises in the collected data. T...

AI Technical Summary

Problems solved by technology

[0005] The invention provides a system and method for predicting the remaining life of ship power equipment to solve the problem in the prior art that it is impossible to timely and accurately predict the remaining life of ship power equipment in real time

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