{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T20:42:17Z","timestamp":1778100137387,"version":"3.51.4"},"reference-count":12,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,1,25]],"date-time":"2021-01-25T00:00:00Z","timestamp":1611532800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Robotics"],"published-print":{"date-parts":[[2021,1,25]]},"abstract":"<jats:p>In order to study the fault diagnosis method of small underwater thruster, an experimental device for fault diagnosis of underwater thruster is designed, and a controller hardware and monitoring software of upper computer and lower computer are developed to realize the acquisition and storage of parameters for underwater propeller. The experimental device can simulate four kinds of thruster faults, collect the hydrophone data, classify the fault types by fault clustering analysis, analyze the spectrum of four types of faults, and calculate the thrust under different fault conditions based on the results of spectrum analysis. The experimental results show that the experimental system effectively simulates different faults of the thruster, and the analysis method realizes the classification of different faults. The thrust loss of different faults is also calculated based on the analysis method.<\/jats:p>","DOI":"10.1155\/2021\/6635494","type":"journal-article","created":{"date-parts":[[2021,1,26]],"date-time":"2021-01-26T02:05:19Z","timestamp":1611626719000},"page":"1-10","source":"Crossref","is-referenced-by-count":6,"title":["An Underwater Thruster Fault Diagnosis Simulator and Thrust Calculation Method Based on Fault Clustering"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3746-2781","authenticated-orcid":true,"given":"Jian","family":"Yuan","sequence":"first","affiliation":[{"name":"Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Shandong Provincial Key Laboratory of Ocean Environment Monitoring Technology, National Engineering and Technological Research Center of Marine Monitoring Equipment, Qingdao 266100, China"}]},{"given":"Junhe","family":"Wan","sequence":"additional","affiliation":[{"name":"Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Shandong Provincial Key Laboratory of Ocean Environment Monitoring Technology, National Engineering and Technological Research Center of Marine Monitoring Equipment, Qingdao 266100, China"}]},{"given":"Wenxia","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Electrical Engineering, Qindao College, Qingdao 266106, China"}]},{"given":"Hailin","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Shandong Provincial Key Laboratory of Ocean Environment Monitoring Technology, National Engineering and Technological Research Center of Marine Monitoring Equipment, Qingdao 266100, China"}]},{"given":"Hao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Shandong Provincial Key Laboratory of Ocean Environment Monitoring Technology, National Engineering and Technological Research Center of Marine Monitoring Equipment, Qingdao 266100, China"}]}],"member":"311","reference":[{"key":"1","article-title":"Research progress on thruster fault diagnosis technology for deep-sea underwater vehicle","volume":"7","author":"Y. 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