{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T10:02:44Z","timestamp":1764842564602,"version":"3.28.0"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T00:00:00Z","timestamp":1639699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T00:00:00Z","timestamp":1639699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,17]]},"DOI":"10.1109\/safeprocess52771.2021.9693733","type":"proceedings-article","created":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T15:50:05Z","timestamp":1643730605000},"page":"1-6","source":"Crossref","is-referenced-by-count":3,"title":["Fault Diagnosis with Spacecraft High-Dimensional Data Based on Machine Learning"],"prefix":"10.1109","author":[{"given":"Hanyu","family":"Liang","sequence":"first","affiliation":[{"name":"Beijing Institute of Control Engineering,Science and Technology on Space Intelligent Control Laboratory,Beijing,China"}]},{"given":"Yun","family":"Liu","sequence":"additional","affiliation":[{"name":"Beijing Institute of Control Engineering,Science and Technology on Space Intelligent Control Laboratory,Beijing,China"}]},{"given":"Chengrui","family":"Liu","sequence":"additional","affiliation":[{"name":"Beijing Institute of Control Engineering,Science and Technology on Space Intelligent Control Laboratory,Beijing,China"}]},{"given":"Wenjing","family":"Liu","sequence":"additional","affiliation":[{"name":"Beijing Institute of Control Engineering,Science and Technology on Space Intelligent Control Laboratory,Beijing,China"}]},{"given":"Wenbo","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Institute of Control Engineering,Science and Technology on Space Intelligent Control Laboratory,Beijing,China"}]}],"member":"263","reference":[{"key":"ref10","first-page":"699","article-title":"Gaussian Mixed Model-Based Fault Detection Method for Flywheel Sensor","volume":"36","author":"xue-bing","year":"2015","journal-title":"Journal of Astronautics"},{"key":"ref11","first-page":"48","article-title":"State Recognition of Bogie Frame Based on K-Nearest Neighbor Algorithm","volume":"38","author":"ying","year":"2019","journal-title":"measurement & control technology"},{"key":"ref12","first-page":"1","article-title":"Fault Diagnosis Method of Wind Turbine Pitch Angle Based on PCAKNN Fusion Algorithm","author":"xi","year":"2021","journal-title":"Electrical Power Press"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3901\/JME.2020.04.035"},{"key":"ref14","first-page":"36","article-title":"Research on Fault Diagnosis of Rolling Bearing Based on Machine Learning Method","volume":"7","author":"xing-xing","year":"2020","journal-title":"Modular Machine Tool & Automatic Manufacturing Technique"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2514\/6.2015-4482"},{"key":"ref3","first-page":"401","article-title":"A fault diagnosis approach for spacecraft based on hierarchical transition system model","volume":"34","author":"jin","year":"2013","journal-title":"Acta Aeronautica et Astronautica Sinica"},{"key":"ref6","first-page":"38","article-title":"A New Modeling Method of Satellite Fault Diagnosis Based on the Qualitative\/Quantitative Hybrid Model","volume":"35","author":"xiaogong","year":"2009","journal-title":"Aerospace Control and Application"},{"key":"ref5","first-page":"1501","article-title":"Gyroscope fault diagnosis based on dedicated Kalman filter scheme","volume":"36","author":"liliang","year":"2019","journal-title":"Control Theory & Applications"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.02.028"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCI.2016.7732316"},{"key":"ref2","first-page":"34","article-title":"Research on Technology Development of the Intelligent Remote Sensing Satellites System","volume":"41","author":"junyu","year":"2020","journal-title":"Spacecraft Recovery & Remote Sensing"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2514\/6.2016-5725"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.08.007"}],"event":{"name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","start":{"date-parts":[[2021,12,17]]},"location":"Chengdu, China","end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9693491\/9693537\/09693733.pdf?arnumber=9693733","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,20]],"date-time":"2022-06-20T17:11:17Z","timestamp":1655745077000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9693733\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,17]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/safeprocess52771.2021.9693733","relation":{},"subject":[],"published":{"date-parts":[[2021,12,17]]}}}