[{"type":"conference","publication":"Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)","status":"public","abstract":[{"text":"Predicting the remaining useful life of technical \r\nsystems has gained significant attention in recent years due to \r\nincreasing demands for extending the lifespan of degrading system \r\ncomponents. Therefore, already used systems are retrofitted by \r\nintegrating sensors to monitor their performance and \r\nfunctionality, enabling accurate diagnosis of their condition and \r\nprediction of their remaining useful life. One of the main \r\nchallenges in this field is identified in the missing data from the \r\ntime where the retrofitted system has already run but without \r\nbeing monitored by sensors. In this paper, a novel approach for \r\nthe combined diagnostics and prognostics of retrofitted systems is \r\nproposed. The methodology aims to provide an accurate diagnosis \r\nof the system’s health state and estimation of the remaining useful \r\nlife by a combination of a machine learning and expert knowledge. \r\nTo evaluate the effectiveness of the proposed methodology, a case \r\nstudy involving a retrofitted system in an industrial setting is \r\nselected and applied. It is demonstrated that the approach \r\neffectively diagnose the current system’s health state and \r\naccurately predict its remaining useful life, thereby enabling \r\npredictive maintenance and decision-making. Overall, our \r\nresearch contributes to advancing the field of condition \r\nmonitoring for retrofitted systems by providing a comprehensive \r\nmethodology that addresses the challenge of missing data.","lang":"eng"}],"user_id":"54290","department":[{"_id":"151"}],"_id":"55336","language":[{"iso":"eng"}],"keyword":["retrofit","diagnosis","prognostics","RUL prediction","missing data","ball bearings"],"quality_controlled":"1","publication_identifier":{"isbn":["979-8-3503-6058-5"]},"citation":{"apa":"Bender, A., Aimiyekagbon, O. K., &#38; Sextro, W. (2024). Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment. <i>Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)</i>. 2024 Prognostics and System Health Management Conference (PHM), Stockholm, Schweden. <a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">https://doi.org/10.1109/PHM61473.2024.00038</a>","mla":"Bender, Amelie, et al. “Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment.” <i>Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)</i>, IEEE Computer Society, 2024, doi:<a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">10.1109/PHM61473.2024.00038</a>.","bibtex":"@inproceedings{Bender_Aimiyekagbon_Sextro_2024, title={Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment}, DOI={<a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">10.1109/PHM61473.2024.00038</a>}, booktitle={Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)}, publisher={IEEE Computer Society}, author={Bender, Amelie and Aimiyekagbon, Osarenren Kennedy and Sextro, Walter}, year={2024} }","short":"A. Bender, O.K. Aimiyekagbon, W. Sextro, in: Proceedings of the 2024 Prognostics and System Health Management Conference (PHM), IEEE Computer Society, 2024.","ieee":"A. Bender, O. K. Aimiyekagbon, and W. Sextro, “Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment,” presented at the 2024 Prognostics and System Health Management Conference (PHM), Stockholm, Schweden, 2024, doi: <a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">10.1109/PHM61473.2024.00038</a>.","chicago":"Bender, Amelie, Osarenren Kennedy Aimiyekagbon, and Walter Sextro. “Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment.” In <i>Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)</i>. IEEE Computer Society, 2024. <a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">https://doi.org/10.1109/PHM61473.2024.00038</a>.","ama":"Bender A, Aimiyekagbon OK, Sextro W. Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment. In: <i>Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)</i>. IEEE Computer Society; 2024. doi:<a href=\"https://doi.org/10.1109/PHM61473.2024.00038\">10.1109/PHM61473.2024.00038</a>"},"year":"2024","author":[{"first_name":"Amelie","last_name":"Bender","id":"54290","full_name":"Bender, Amelie"},{"first_name":"Osarenren Kennedy","last_name":"Aimiyekagbon","full_name":"Aimiyekagbon, Osarenren Kennedy","id":"9557"},{"id":"21220","full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter"}],"date_created":"2024-07-22T09:27:57Z","publisher":"IEEE Computer Society","date_updated":"2024-07-22T09:29:26Z","conference":{"start_date":"2024-05-28","name":"2024 Prognostics and System Health Management Conference (PHM)","location":"Stockholm, Schweden","end_date":"2024-05-31"},"doi":"10.1109/PHM61473.2024.00038","title":"Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment"},{"project":[{"name":"TRR 318 - C5: TRR 318 - Subproject C5","_id":"128"}],"_id":"55429","user_id":"91864","department":[{"_id":"660"}],"ddc":["000"],"keyword":["Differential Diagnosis","Diagnostic Reasoning","Reasoning Process Analysis","Seizure","Epilepsy"],"file_date_updated":"2024-07-30T08:21:13Z","language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the 46th Annual Conference of the Cognitive Science Society","abstract":[{"text":"A detailed understanding of the cognitive process underlying diagnostic reasoning in medical experts is currently lacking. While high-level theories like hypothetico-deductive reasoning were proposed long ago, the inner workings of the step-by-step dynamics within the mind remain unknown. We present a fully automated approach to elicit, monitor, and record diagnostic reasoning processes at a fine-grained level. A web-based user interface enables physicians to carry out a full diagnosis process on a simulated patient, given as a pre-defined clinical vignette. By collecting the physician’s information queries and hypothesis revisions, highly detailed diagnostic reasoning trajectories are captured leading to a diagnosis and its justification. Four expert epileptologists with a mean experience of 19 years were recruited to evaluate the system and share their impressions in semi-structured interviews. We find that the recorded trajectories validate proposed theories on broader diagnostic reasoning, while also providing valuable additional details extending previous findings.","lang":"eng"}],"file":[{"date_updated":"2024-07-30T08:21:13Z","date_created":"2024-07-30T08:21:13Z","creator":"doba2","file_size":486513,"access_level":"closed","file_id":"55430","file_name":"Battefeld_2024_Revealing-the-dynamics.pdf","content_type":"application/pdf","success":1,"relation":"main_file"}],"status":"public","date_updated":"2025-09-23T15:11:19Z","date_created":"2024-07-30T08:17:35Z","author":[{"orcid":"0000-0002-5480-0594","last_name":"Battefeld","id":"91864","full_name":"Battefeld, Dominik","first_name":"Dominik"},{"first_name":"Sigrid","last_name":"Mues","full_name":"Mues, Sigrid"},{"full_name":"Wehner, Tim","last_name":"Wehner","first_name":"Tim"},{"first_name":"Patrick","last_name":"House","full_name":"House, Patrick"},{"last_name":"Kellinghaus","full_name":"Kellinghaus, Christoph","first_name":"Christoph"},{"first_name":"Jörg","full_name":"Wellmer, Jörg","last_name":"Wellmer"},{"full_name":"Kopp, Stefan","last_name":"Kopp","first_name":"Stefan"}],"title":"Revealing the Dynamics of Medical Diagnostic Reasoning as Step-by-Step Cognitive Process Trajectories","conference":{"end_date":"2024-07-27","location":"Rotterdam, NL","name":"The Annual Meeting of the Cognitive Science Society","start_date":"2024-07-24"},"publication_status":"published","has_accepted_license":"1","quality_controlled":"1","year":"2024","citation":{"mla":"Battefeld, Dominik, et al. “Revealing the Dynamics of Medical Diagnostic Reasoning as Step-by-Step Cognitive Process Trajectories.” <i>Proceedings of the 46th Annual Conference of the Cognitive Science Society</i>, 2024.","short":"D. Battefeld, S. Mues, T. Wehner, P. House, C. Kellinghaus, J. Wellmer, S. Kopp, in: Proceedings of the 46th Annual Conference of the Cognitive Science Society, 2024.","bibtex":"@inproceedings{Battefeld_Mues_Wehner_House_Kellinghaus_Wellmer_Kopp_2024, title={Revealing the Dynamics of Medical Diagnostic Reasoning as Step-by-Step Cognitive Process Trajectories}, booktitle={Proceedings of the 46th Annual Conference of the Cognitive Science Society}, author={Battefeld, Dominik and Mues, Sigrid and Wehner, Tim and House, Patrick and Kellinghaus, Christoph and Wellmer, Jörg and Kopp, Stefan}, year={2024} }","apa":"Battefeld, D., Mues, S., Wehner, T., House, P., Kellinghaus, C., Wellmer, J., &#38; Kopp, S. (2024). Revealing the Dynamics of Medical Diagnostic Reasoning as Step-by-Step Cognitive Process Trajectories. <i>Proceedings of the 46th Annual Conference of the Cognitive Science Society</i>. The Annual Meeting of the Cognitive Science Society, Rotterdam, NL.","chicago":"Battefeld, Dominik, Sigrid Mues, Tim Wehner, Patrick House, Christoph Kellinghaus, Jörg Wellmer, and Stefan Kopp. “Revealing the Dynamics of Medical Diagnostic Reasoning as Step-by-Step Cognitive Process Trajectories.” In <i>Proceedings of the 46th Annual Conference of the Cognitive Science Society</i>, 2024.","ieee":"D. Battefeld <i>et al.</i>, “Revealing the Dynamics of Medical Diagnostic Reasoning as Step-by-Step Cognitive Process Trajectories,” presented at the The Annual Meeting of the Cognitive Science Society, Rotterdam, NL, 2024.","ama":"Battefeld D, Mues S, Wehner T, et al. Revealing the Dynamics of Medical Diagnostic Reasoning as Step-by-Step Cognitive Process Trajectories. In: <i>Proceedings of the 46th Annual Conference of the Cognitive Science Society</i>. ; 2024."}}]