Open AccessPerformance Prediction Method of Prognostics and Health Management of Marine Diesel Engine
Author(s) -
Fengchong Lan,
Ying Jiang,
Haiyang Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1670/1/012014
Subject(s) - prognostics , diesel engine , artificial neural network , diesel fuel , hierarchy , engineering , health management system , reliability engineering , computer science , deep learning , systems engineering , artificial intelligence , automotive engineering , market economy , medicine , alternative medicine , pathology , economics
The development of intelligent ship puts forward more requirements for the maintenance and management of marine diesel engine. Prognostics and health management technology can realize the condition-based maintenance of the main engine through intelligent analysis, evaluation and prediction of the running parameters. This paper reviews the development and basic functions of health management technology, and analyzes the application and development of performance prediction technology in marine diesel engine. Through the analysis, it can be found that the prediction method based on deep learning neural network model has become the trend in prediction technology area. Deep learning neural network has the characteristics of deeper network hierarchy, stronger understanding ability, and good at dealing with the variability and uncertainty of data relationship. Therefore, it will become a powerful tool to solve the performance prediction problem of diesel engine as a whole under varying working conditions.