Fin stabilizer device fault diagnosis and health forecasting system

Abstract

The invention relates to a fin stabilizer device fault diagnosis and health forecasting system. The fault diagnosis and health forecasting system comprises a fault diagnosis and health forecasting analysis and prediction system, a fin stabilizer main control system, an execution element and a hydraulic unit field sensing and acquisition element; the fault diagnosis and health forecasting analysis and prediction system directly collects message information and high-frequency data of a gyroscope, and the fin stabilizer main control system collects execution element state information and hydraulic unit field sensor signals, converts the execution element state information and the hydraulic unit field sensor signals into text data and uploads the text data to the fault diagnosis and health forecastng analysis and prediction system; the fault diagnosis and health forecasting analysis and prediction system monitors state information of the execution element, the hydraulic unit and the electrical control module in real time, and the health state of the fin stabilizer is visually presented through a human-computer interface. Fault diagnosis, health forecast, maintenance prompt and data analysis can be carried out on mechanical, electric and hydraulic systems of the fin stabilizer device, the automation and intelligence level of the fin stabilizer device is improved, and the navigation safety is further improved.

Description

technical field [0001] The invention relates to a management technology of electromechanical equipment, in particular to a system for fault diagnosis and health prediction of a fin stabilizer device. Background technique [0002] The research on the fault diagnosis and health management technology of the fin stabilizer mainly takes the hydraulically driven fin stabilizer as the research object. Through the analysis and research on the working principle and characteristics of the fin stabilizer, the performance of the fin stabilizer is analyzed from the aspects of perception, analysis, and decision-making. Predict the failure mechanism and the health status of the main components and give the optimal maintenance decision. Through the analysis of the collected data of the fin stabilizer device, the fault diagnosis mechanism and health prediction function of the fin stabilizer device can be realized; the reliability of the fin stabilizer device can be improved. , Reduce unneces...

AI Technical Summary

Problems solved by technology

[0003] For the fault diagnosis and health prediction technology of fin stabilizer devices, foreign companies such as MANT, CMC, SIDE-POWER, and Pinfabb have relatively high technological maturity in intelligent control, fault diagnosis, health prediction and energy consumption management technologies. The fin stabilizer only realizes simple informatization, and intelligent technologies such as distance intelligence, fault diagnosis, and health prediction are mostly theoretical research, lacking online / offline fault diagnosis and health prediction engineering applications of fin stabilizers

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