Research and Applications of Condition Monitoring and Predictive Maintenance of Marine Diesel Engines

被引：0

作者：

Chen D. ^{[1
]}

Zhao S. ^{[1
]}

Wei C. ^{[1
]}

Chen Y. ^{[1
]}

机构：

[1] Automation Engineering Divison, China State Shipbuilding Corporation Limited, Shanghai

来源：

Zhongguo Jixie Gongcheng/China Mechanical Engineering | 2022年 / 33卷 / 10期

关键词：

Change point detection; Condition monitoring; Feature extraction; Predictive maintenance;

D O I：

10.3969/j.issn.1004-132X.2022.10.004

中图分类号：

学科分类号：

摘要：

Based on the four dimensions of thermal-pressure parameters, lubricant oil conditions, vibrations and cylinder pressures, data acquisition and feature extraction were carried out, and a method for diesel engine condition monitoring was proposed based on OCSVM anomaly detection algorithm and Fisher discriminant analysis. The CUSUMMR was used for parameter trend detection and the D-S evidence theory and weight of evidence method were used for multi-source information fusion. the RUL(remaining useful life) of diesel engine lubricating oil was predicted by LSTM. The Paper solves the problems such as low early warning rate, poor adaptability of the model under diesel engine dynamic conditions. © 2022, China Mechanical Engineering Magazine Office. All right reserved.

引用

页码：1162 / 1168

页数：6

共 12 条

[1] HE Chi, The Six Functional Module Requirements of CCS Rules for Intelligent Ships, China Ship Survey, 3, pp. 54-85, (2016)
[2] MALM L A, ENSTRR J, HAGER L M, Et al., Main Engine Damage Study
[3] YU Yonghua, CHEN Yucheng, Evaluation of the Health of Marine Diesel Engines Based on Instantaneous Angular Speed and Machine Learning, Chinese Internal Combustion Engine Engineering, 41, 6, pp. 101-106, (2020)
[4] JIANG Jiawei, HU Yihuai, KE Yun, Et al., Fault Diagnosis of Diesel Engines Based on Wavelet Packet Energy Spectrum Feature Extraction and Fuzzy Entropy Feature Selection, Journal of Vibration and Shock, 39, 4, pp. 273-277, (2020)
[5] WANG Ruihui, CHEN Hui, GUANG Cong, Condition Monitoring Method for Marine Engine Room Equipment Based on Machine Learning, Chinese Journal of Ship Research, 16, 1, pp. 158-167, (2021)
[6] ZHANG Zhizheng, Research on Fault Monitoring and Diagnosis of Marine Fuel Oil Sysytem Based on Optimized KPCA-SVM, (2020)
[7] OROSA J A, COSTA A M, SANTOS R., Research about New Predictive-maintenance Methodology Using VBA for Marine Engineering Applications
[8] SIMOES A, FARINHA J T, FONSECA I., Ecological Predictive Maintenance of Diesel Engines, Diesel and Gasoline Engines, (2020)
[9] KELLEHE E P., How Comprehensive Diesel Engine Analysis Improves Performance and Reliability
[10] CAO Huan, HU Lei, XIE Wenqi, Et al., Diesel Engine Fault Diagnosis Method Based on Multi-source Information Fusion, Marine Technology, 1, pp. 73-80, (2020)

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