{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T22:37:21Z","timestamp":1759963041497,"version":"3.41.2"},"reference-count":27,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,7,21]],"date-time":"2019-07-21T00:00:00Z","timestamp":1563667200000},"content-version":"vor","delay-in-days":201,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61503224"],"award-info":[{"award-number":["61503224"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2019,1]]},"abstract":"<jats:p>To improve the reliability of power grid fault diagnosis by enhancing the processing ability of uncertain information and adequately utilizing the alarm information about power grids, a fault diagnosis method using intuitionistic fuzzy Petri Nets based on time series matching is proposed in this paper. First, the alarm hypothesis sequence and the real alarm sequence are constructed using the alarm information and the general grid protection configuration model, and the similarity of the two sequences is used to calculate the timing confidence. Then, an intuitionistic fuzzy Petri Nets fault diagnosis model, with an excellent ability to process uncertain information from intuitionistic fuzzy sets, is constructed, and the initial place value of the model is corrected by the timing confidence. Finally, an application of the fault diagnosis model for the actual grid is established to analyze and verify the diagnostic results of the new method. The results for some test cases show that the new method can improve the accuracy and fault tolerance of fault diagnosis, and, furthermore, the abnormal state of the component can be inferred.<\/jats:p>","DOI":"10.1155\/2019\/7890652","type":"journal-article","created":{"date-parts":[[2019,7,21]],"date-time":"2019-07-21T23:31:09Z","timestamp":1563751869000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0687-3123","authenticated-orcid":false,"given":"Mingyue","family":"Tan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5570-9952","authenticated-orcid":false,"given":"Jiming","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1493-6953","authenticated-orcid":false,"given":"Xiangqian","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7313-4307","authenticated-orcid":false,"given":"Xuezhen","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2019,7,21]]},"reference":[{"key":"e_1_2_11_1_2","first-page":"1","article-title":"Fault diagnosis of wind turbine gearboxes based on DFIG stator current envelope analysis","author":"Cheng F.","year":"2018","journal-title":"IEEE Transactions on Sustainable Energy"},{"key":"e_1_2_11_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2015.2493778"},{"key":"e_1_2_11_3_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/2896850"},{"key":"e_1_2_11_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2012.03.017"},{"key":"e_1_2_11_5_2","first-page":"257","article-title":"A novel two terminal fault location method used ANN for UHVDC transmission line","volume":"30","author":"Chen S.","year":"2015","journal-title":"Transactions of China Electrotechnical Society"},{"key":"e_1_2_11_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/TLA.2016.7786348"},{"key":"e_1_2_11_7_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd.2014.0660"},{"key":"e_1_2_11_8_2","first-page":"2658","article-title":"Structure-variable bayesian network for power system fault diagnosis considering credibility","volume":"39","author":"Luo X.","year":"2015","journal-title":"Power System Technology"},{"key":"e_1_2_11_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2018.2863119"},{"key":"e_1_2_11_10_2","first-page":"132","article-title":"An approach for three-phase asynchronous motor failure analysis based on fuzzy fault Petri nets","volume":"30","author":"Cheng X.","year":"2015","journal-title":"Diangong Jishu Xuebao\/Transactions of China Electrotechnical Society"},{"key":"e_1_2_11_11_2","first-page":"46","article-title":"A fault diagnosis approach of power networks based on maximum likelihood decoding petri net models","volume":"30","author":"Cheng X.","year":"2015","journal-title":"Diangong Jishu Xuebao\/Transactions of China Electrotechnical Society"},{"key":"e_1_2_11_12_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd.2014.0659"},{"key":"e_1_2_11_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/tpwrs.2004.836256"},{"key":"e_1_2_11_14_2","doi-asserted-by":"crossref","unstructured":"WangY. 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