Offshore crane gearbox fault diagnosis device and method based on multivariate data

Abstract

The invention provides an offshore crane gearbox fault diagnosis device and method based on multivariate data. The device comprises a temperature sensor, an acceleration sensor, an embedded monitoring unit and a remote monitoring and maintenance center. Temperature and acceleration sensors are arranged. A GPRS module transmits collected data to an upper computer. Bearing temperature trend prediction based on a gray model and support vector regression model residual compensation is carried out according to a collected temperature signal. Vibration fault feature extraction is carried out on a vibration signal by using the combination of empirical mode decomposition and envelope spectrum analysis. Gearbox lubricating oil samples are regularly extracted for convention physical and chemical property analyzing and emission spectrographic analyzing. Wear trend analysis and fault early warning are carried out according to the content of metal wear in oil samples. Fusion comparing is carried out on three analysis results to give a gearbox fault diagnosis result. According to the invention, the fault diagnosis accuracy of an offshore crane gearbox can be effectively improved, and the diagnosis result is accurate and reliable.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of construction machinery, in particular to a fault diagnosis device and method for a gearbox of a marine crane based on multivariate data. Background technique [0002] The gearbox is the key transmission part for the lifting action of the offshore crane. Its working characteristics are low speed and heavy load, often subjected to impact and alternating loads, and the working environment is harsh, and it is prone to failure, resulting in the failure of the gearbox. At present, the state monitoring and fault diagnosis methods for offshore crane gearboxes usually collect the vibration signal or oil information of the gearbox on site, and diagnose according to the frequency spectrum analysis of the vibration signal or the oil composition analysis results. The single parameter makes it impossible to further determine the type and location of the fault, let alone detect early faults; on the ot...

AI Technical Summary

Problems solved by technology

The patent has a single analysis parameter for the gearbox, and the diagnostic object is limited to the fault of the rotating part, and cannot fully judge the fault type and location of the gearbox

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