Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Decoupling Identification Method of Continuous Working Conditions of Diesel Engines Based on a Graph Self-Attention Network Subject The topic of the resource Decoupling; Diseal Engine; Graph Self-Attention Network (GSAN); Normal and Typical Scenario; Signal Preprocessing; Working Condition Description An account of the resource For diesel engine malfunction detection, machine learning-based intelligent detection approaches have made great strides, but some performance deterioration is also observed due to the significant ambient noise and the change in operating circumstances in the actual application situations. Diesel engine fault diagnostic models can be negatively impacted by complex and erratic working circumstances. Identifying the working condition can provide as a baseline for the current unit operating state, which is crucial information when trying to pinpoint the source of an issue. Many existing techniques for identifying operational states use power as an identifier, segmenting it into discrete intervals from which the current state's power may be derived using a classification model. However, the working condition characteristics should be constant, and defining it exclusively in terms of power would lead to the connection of speed and load elements. In this study, we offer a regular working situation model that is independent of speed and load characteristics, and we use a graph self-attention network to construct a model for identifying the working condition. On a diesel engine research bench, a vast amount of experimental data is acquired for training and testing models, including 32 different operating situations under normal and typical fault scenarios. The R2 adj values of 99.70% and 99.27% for normal and typical defect experimental data, correspondingly, demonstrate the efficacy of the suggested technique under the circumstance of uninformed nnerating situations. 2023 IEEE. Creator An entity primarily responsible for making the resource Vijayasharathi N.; Selukar N.B.; Ganesh Kumar G.; Chauhan A.; Ramachandran L.; Ravindra Sonawane P. Source A related resource from which the described resource is derived 7th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2023 - Proceedings, pp. 49-54. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICECA58529.2023.10394998" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICECA58529.2023.10394998</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186114491&amp;doi=10.1109%2FICECA58529.2023.10394998&amp;partnerID=40&amp;md5=aca8e08490cab75b3074fef0024e217b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186114491&amp;doi=10.1109%2fICECA58529.2023.10394998&amp;partnerID=40&amp;md5=aca8e08490cab75b3074fef0024e217b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034060-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vijayasharathi N., Panimalar Engineering College, Tamilnadu, Chennai, India; Selukar N.B., SGB Amravati University, Chemical Technology Department, Maharashtra, Amravati, India; Ganesh Kumar G., Kakatiya Institute of Technology and Science, Department of Mechanical Engineering, Telangana, Warangal, India; Chauhan A., Department of life sciences, Christ University Bangalore, Karnataka, India; Ramachandran L., R.M.K.Engineering College, Kavaraipettai, Tamilnadu, Tiruvallur, India; Ravindra Sonawane P., JSPM'S Rajarshi Shahu College of Engineering Tathawade, Mechanical Engineering, Maharashtra, Pune, India