文献类型：期刊文献

英文题名：Incrementally accumulated holographic SDP characteristic fusion method in ship propulsion shaft bearing fault diagnosis

作者：Song, Xuewei[1];Liao, Zhiqiang[1,2];Wang, Hongfeng[3];Song, Weiwei[3];Chen, Peng[1]

机构：[1]Mie Univ, Grad Sch Bioresources, Tsu, Mie, Japan;[2]Guangdong Ocean Univ, Maritime Coll, Zhanjiang, Peoples R China;[3]Huangshan Univ, Sch Mech Elect & Informat Engn, Huangshan, Peoples R China

年份：2022

卷号：33

期号：4

外文期刊名：MEASUREMENT SCIENCE AND TECHNOLOGY

收录：SCI-EXPANDED(收录号：WOS:000746163800001)、、EI(收录号：20220611608145)、Scopus(收录号：2-s2.0-85124133242)、WOS

基金：This work was supported by the Program for Scientific Research Start-up Funds of Guangdong Ocean University, Key Research and Development Project from Anhui Province of China (Grant No. 202004a05020025), Key Research and Development Project from Anhui Province of China (Grant No. 202104b11020011).

语种：英文

外文关键词：ship propulsion shafting bearing; fault diagnosis; incremental accumulation method; holographic symmetrical dot pattern (SDP)

外文摘要：To improve the accuracy of the fault diagnosis of a ship propulsion shaft bearing in a harsh working environment, a visual diagnosis method based on the incrementally accumulated holographic symmetrical dot pattern (SDP) characteristic fusion method is proposed in this research. The current study simultaneously extracts the time- and frequency-domain characteristic parameters of a vibration signal based on the incremental accumulation method to avoid the inconspicuous difference and small discrimination generated by a single parameter. Subsequently, the extracted characteristic signals are transformed into a 2D image based on the SDP method to enhance the differences between signals. Eventually, bearing fault is diagnosed based on the similarity recognition method. Simulation and engineering experiments were conducted to verify the effectiveness of the proposed method. The results demonstrate that the proposed method can effectively diagnose the ship propulsion shaft bearing fault diagnosis.