{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T19:20:45Z","timestamp":1775157645808,"version":"3.50.1"},"reference-count":27,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2019,1,12]],"date-time":"2019-01-12T00:00:00Z","timestamp":1547251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Nature Science Foundation of China","award":["51307020"],"award-info":[{"award-number":["51307020"]}]},{"name":"Science and Technology Development Project of Jilin Province","award":["20160411003XH"],"award-info":[{"award-number":["20160411003XH"]}]},{"name":"Science and Technology Project of Jilin Province Education Department","award":["JJKH20170219KJ"],"award-info":[{"award-number":["JJKH20170219KJ"]}]},{"name":"Major science and technology projects of Jilin Institute of Chemical Technology","award":["2018021"],"award-info":[{"award-number":["2018021"]}]},{"name":"Science and Technology Innovation Development Plan Project of Jilin City","award":["201750239"],"award-info":[{"award-number":["201750239"]}]},{"name":"Science and Technology Program Project of Jilin Provincial Science and Technology Department","award":["20180101336JC"],"award-info":[{"award-number":["20180101336JC"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The reliability and performance of high-voltage circuit breakers (HVCBs) will directly affect the safety and stability of the power system itself, and mechanical failures of HVCBs are one of the important factors affecting the reliability of circuit breakers. Moreover, the existing fault diagnosis methods for circuit breakers are complex and inefficient in feature extraction. To improve the efficiency of feature extraction, a novel mechanical fault feature selection and diagnosis approach for high-voltage circuit breakers, using features extracted without signal processing is proposed. Firstly, the vibration signal of the HVCBs\u2019 operating system, which collects the amplitudes of signals from normal vibration signals, is segmented by a time scale, and obviously changed. Adopting the ensemble learning method, features were extracted from each part of the divided signal, and used for constructing a vector. The Gini importance of features is obtained by random forest (RF), and the feature is ranked by the features\u2019 importance index. After that, sequential forward selection (SFS) is applied to determine the optimal subset, while the regularized Fisher\u2019s criterion (RFC) is used to analyze the classification ability. Then, the optimal subset is input to the hierarchical hybrid classifier, and based on a one-class support vector machine (OCSVM) and RF for fault diagnosis, the state is accurately recognized by OCSVM. The known fault types are identified using RF, and the identification results are calibrated with OCSVM of a particular fault type. The experimental proves that the new method has high feature extraction efficiency and recognition accuracy by the measured HVCBs vibration signal, while the unknown fault type data of the untrained samples is effectively identified.<\/jats:p>","DOI":"10.3390\/s19020288","type":"journal-article","created":{"date-parts":[[2019,1,14]],"date-time":"2019-01-14T12:20:07Z","timestamp":1547468407000},"page":"288","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["A Novel Mechanical Fault Feature Selection and Diagnosis Approach for High-Voltage Circuit Breakers Using Features Extracted without Signal Processing"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1213-0983","authenticated-orcid":false,"given":"Lin","family":"Lin","sequence":"first","affiliation":[{"name":"College of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin 132022, China"}]},{"given":"Bin","family":"Wang","sequence":"additional","affiliation":[{"name":"Taian Power Supply Company, State Grid Shandong Electric Power Company, Taian 271000, China"}]},{"given":"Jiajin","family":"Qi","sequence":"additional","affiliation":[{"name":"Hangzhou Municipal Electric Power Supply Company of State Grid, Hangzhou 310009, China"}]},{"given":"Lingling","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin 132022, China"}]},{"given":"Nantian","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,1,12]]},"reference":[{"key":"ref_1","first-page":"379","article-title":"Multiphysics-Coupled Modeling: Simulation of the Hydraulic-Operating Mechanism for a SF6 High-Voltage Circuit Breaker","volume":"21","author":"Xu","year":"2016","journal-title":"IEEE\/ASME Trans. 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