{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T00:52:53Z","timestamp":1783731173962,"version":"3.55.0"},"reference-count":26,"publisher":"World Scientific Pub Co Pte Ltd","issue":"02","funder":[{"name":"the Science and Technology Planning Project of the Zhejiang Market Supervision Bureau","award":["ZC2021B051"],"award-info":[{"award-number":["ZC2021B051"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2025,2]]},"abstract":"<jats:p> This paper introduces a fault diagnosis method for synchronous traction machine demagnetization based on the Informer model. The method utilizes the Informer model to analyze and model the sensor data of the synchronous traction machine, adaptively learn the feature representation of time series data, and predict the future states in order to accurately identify and predict demagnetization faults. The specific steps include: (1) collecting sensor data of the synchronous traction machine, including parameters such as current, voltage, and rotational speed; (2) preprocessing the data, including denoising, normalization, and feature extraction; (3) constructing the Informer model and training and optimizing it using the preprocessed sensor data; and (4) using the trained model to predict and determine new sensor data, thereby achieving an accurate diagnosis of demagnetization faults. The advantages of this method are as follows: (1) automatic learning and extraction of important features of time series data without the need for manual feature design, improving diagnostic accuracy; (2) ability to handle long sequence data and strong modeling capability for time dependencies, better predicting future states and fault occurrences; and (3) adaptability to the characteristics and data features of different elevator systems and strong generalization capability. <\/jats:p>","DOI":"10.1142\/s0218001424510078","type":"journal-article","created":{"date-parts":[[2024,3,9]],"date-time":"2024-03-09T15:23:37Z","timestamp":1709997817000},"source":"Crossref","is-referenced-by-count":3,"title":["Diagnostic Method for Demagnetization Fault of Elevator Synchronous Traction Machine Based on Informer"],"prefix":"10.1142","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-2335-1009","authenticated-orcid":false,"given":"Peng","family":"Shao","sequence":"first","affiliation":[{"name":"Elevator Division 1, Hangzhou Special Equipment, Inspection & Science Research Institute, Hangzhou, Zhejiang, P. 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