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Traditional approaches struggle with fault detection depending on the quantity and quality of historical data samples, especially in dynamic conditions, often failing to capture long-term dependencies and uncertainties in bearing health states, thereby limiting precise fault detection and remaining useful life predictions. To overcome these challenges, the research proposes a novel hybrid framework that combines data-driven and model-driven learning. This framework employs the Siamese neural network (SNN) containing two identical subnetwork models for fault detection and Bayesian estimation for prognosis purposes, bridging the gap between data-driven and model-based approaches. SNNs excel in learning from limited labeled data and are suitable for real-time fault detection. Experimental validation with the PRONOSTIA-FEMTO bearings dataset confirms the framework\u2019s superior performance in fault detection, promising improved maintenance practices and equipment reliability in industrial processes.<\/jats:p>","DOI":"10.1177\/01423312241292756","type":"journal-article","created":{"date-parts":[[2024,11,30]],"date-time":"2024-11-30T07:36:23Z","timestamp":1732952183000},"page":"490-503","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Diagnostics and prognostics system design integrating hybrid Siamese and model-driven learning"],"prefix":"10.1177","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3189-4188","authenticated-orcid":false,"given":"Muhammad Asim","family":"Abbasi","sequence":"first","affiliation":[{"name":"China-Singapore International Joint Research Institute, Guangzhou, China"},{"name":"School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China"}]},{"given":"Shiping","family":"Huang","sequence":"additional","affiliation":[{"name":"China-Singapore International Joint Research Institute, Guangzhou, China"},{"name":"School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China"},{"name":"School of Civil Engineering, Lanzhou Jiaotong University, Lanzhou, China"}]},{"given":"Aadil Sarwar","family":"Khan","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, University of Azad Jammu And Kashmir, Muzaffarabad, Pakistan"}]}],"member":"179","published-online":{"date-parts":[[2024,11,30]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ad2da7"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1080\/08982112.2024.2385920"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.1177\/0142331219894807"},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3076783"},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40313-015-0173-7"},{"key":"e_1_3_3_7_1","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO55093.2022.9909630"},{"key":"e_1_3_3_8_1","doi-asserted-by":"publisher","DOI":"10.3390\/s23094512"},{"key":"e_1_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2021.107961"},{"key":"e_1_3_3_10_1","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/acb074"},{"key":"e_1_3_3_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-020-01600-2"},{"key":"e_1_3_3_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2669947"},{"key":"e_1_3_3_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-0716-0826-5_3"},{"key":"e_1_3_3_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3163167"},{"key":"e_1_3_3_15_1","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/8617315"},{"key":"e_1_3_3_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-03344-3"},{"key":"e_1_3_3_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2019.2957965"},{"key":"e_1_3_3_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2942548"},{"key":"e_1_3_3_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-022-11013-2"},{"key":"e_1_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.10.024"},{"key":"e_1_3_3_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.109022"},{"key":"e_1_3_3_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.06.078"},{"key":"e_1_3_3_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2021.03.012"},{"key":"e_1_3_3_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.07.032"},{"key":"e_1_3_3_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2021.09.004"},{"key":"e_1_3_3_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-01859-1"},{"key":"e_1_3_3_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2016.2570568"},{"key":"e_1_3_3_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.06.003"},{"key":"e_1_3_3_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2016.2645238"},{"key":"e_1_3_3_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106399"},{"key":"e_1_3_3_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2017.02.005"},{"key":"e_1_3_3_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2991796"},{"key":"e_1_3_3_33_1","first-page":"1","volume-title":"IEEE international conference on prognostics and health management, PHM\u201912","author":"Nectoux P","year":"2012","unstructured":"Nectoux P, Gouriveau R, Medjaher K, et al (2012) PRONOSTIA: An experimental platform for bearings accelerated degradation tests. 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