Multi-Thruster Cooperative Fault Diagnosis Based on Dynamic Analysis of Similarity | |
Xu Gaofei; Li Guangwei; Guo Wei; Zhang Shaowei; Sun Hongming; Sun Yu; Gao Sen | |
2021-09 | |
期号 | 2021 |
DOI | 10.23919/OCEANS44145.2021.9705731 |
通讯作者 | Li Guangwei |
英文摘要 | Fault diagnosis plays an important role in ensuring the safety of underwater vehicles. As one of the most crucial components of an underwater vehicle, fault diagnosis of the propulsion system is of great importance. Most existing methods rely on mathematical models or fault sample data, which bring great difficulties to the realization of fault diagnosis. Some characteristics of the underwater vehicle itself can be used for fault diagnosis to reduce the difficulty of implementation. In this paper, a fault diagnosis method based on dynamic analyzing the response characteristics similarity of multi-thrusters is developed. First, the fault feature extraction is achieved by online measurement of the time series distance between the thruster current signals. Then, based on the Bayesian decision theory, the abnormal changes of similarity probability distribution are enhanced. Finally, through the collaborative analysis of the correlation coefficients between the control variables and current signals of each thruster in the same group, the fault location is realized. |
会议录 | OCEANS 2021 San Diego – Porto |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.idsse.ac.cn/handle/183446/10655] |
专题 | 深海工程技术部_深海信息技术研究室 |
通讯作者 | Li Guangwei |
作者单位 | 中国科学院深海科学与工程研究所 |
推荐引用方式 GB/T 7714 | Xu Gaofei,Li Guangwei,Guo Wei,et al. Multi-Thruster Cooperative Fault Diagnosis Based on Dynamic Analysis of Similarity[C]. 见:. |
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