@inproceedings{08c1ee0dcde7467ab0f7ba716e2c5c5a,
title = "The Fault Monitoring Method Based on Vibration Signal for Crane System",
abstract = "Manufacture industry has undergone transformation and upgrading, and the economy has developed rapidly in the world. Metallurgical cranes are important industrial tools to support the rapid development of manufacturing industry. The frequent occurrence of crane accidents has seriously affected the pace of manufacturing upgrades. Therefore, it is particularly important to conduct risk assessment and fault monitoring research for metallurgical cranes. In order to improve the efficiency of cranes and solve a series of safety problems caused by cranes failure, this paper proposes a kind of crane system fault monitoring method based on vibration signal analysis for crane failure mechanism, and realizes automatic identification of crane system failures by Naive Bayesian algorithm (NB).",
keywords = "Metallurgical cranes, Naive Bayesian classfier, fault monitoring, system risk assessment",
author = "Wei Dai and Kui Liang and Nan Jiang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 10th Prognostics and System Health Management Conference, PHM-Qingdao 2019 ; Conference date: 25-10-2019 Through 27-10-2019",
year = "2019",
month = oct,
doi = "10.1109/PHM-Qingdao46334.2019.8942828",
language = "英语",
series = "2019 Prognostics and System Health Management Conference, PHM-Qingdao 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Wei Guo and Steven Li and Qiang Miao",
booktitle = "2019 Prognostics and System Health Management Conference, PHAI-Qingdao 2019",
address = "美国",
}