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Ramezani I, Vosoughi N, Moshkbar-Bakhshayesh K, Ghofrani MB. Evaluation of the performance of different feature selection techniques for identification of NPPs transients using deep learning. ANN NUCL ENERGY 2023. [DOI: 10.1016/j.anucene.2022.109668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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Shin JH, Bae J, Kim JM, Lee SJ. An interpretable convolutional neural network for nuclear power plant abnormal events. Appl Soft Comput 2022. [DOI: 10.1016/j.asoc.2022.109792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Song X, Liu MT, Liu Q, Niu B. Hydrological cycling optimization‐based multiobjective feature‐selection method for customer segmentation. INT J INTELL SYST 2021. [DOI: 10.1002/int.22381] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Xi Song
- Department of Management Science and Engineering, College of Management Shenzhen University Shenzhen China
- Faculty of Business Administration University of Macau, Macau Special Administrative Region Taipa China
| | - Matthew Tingchi Liu
- Faculty of Business Administration University of Macau, Macau Special Administrative Region Taipa China
| | - Qianying Liu
- Department of Management Science and Engineering, College of Management Shenzhen University Shenzhen China
| | - Ben Niu
- Department of Management Science and Engineering, College of Management Shenzhen University Shenzhen China
- Greater Bay Area International Institute for Innovation, Shenzhen University Shenzhen China
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Homogeneous Continuous-Time, Finite-State Hidden Semi-Markov Modeling for Enhancing Empirical Classification System Diagnostics of Industrial Components. MACHINES 2018. [DOI: 10.3390/machines6030034] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This work presents a method to improve the diagnostic performance of empirical classification system (ECS), which is used to estimate the degradation state of components based on measured signals. The ECS is embedded in a homogenous continuous-time, finite-state semi-Markov model (HCTFSSMM), which adjusts diagnoses based on the past history of components. The combination gives rise to a homogeneous continuous-time finite-state hidden semi-Markov model (HCTFSHSMM). In an application involving the degradation of bearings in automotive machines, the proposed method is shown to be superior in classification performance compared to the single-stage ECS.
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Lin TH, Wu SC, Chen KY, Chou HP. Feature extraction and sensor selection for NPP initiating event identification. ANN NUCL ENERGY 2017. [DOI: 10.1016/j.anucene.2017.02.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Washington J, King J. Optimization of plutonium and minor actinide transmutation in an AP1000 fuel assembly via a genetic search algorithm. NUCLEAR ENGINEERING AND DESIGN 2017. [DOI: 10.1016/j.nucengdes.2016.11.030] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Pacheco J, Casado S, Angel-Bello F, Álvarez A. Bi-objective feature selection for discriminant analysis in two-class classification. Knowl Based Syst 2013. [DOI: 10.1016/j.knosys.2013.01.019] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Hsiao TY, Lin C. Identification of initiating events for pressurized water reactor accidents using a probabilistic approach. PROGRESS IN NUCLEAR ENERGY 2012. [DOI: 10.1016/j.pnucene.2012.06.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Performance evaluation of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning. Soft comput 2010. [DOI: 10.1007/s00500-010-0669-9] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Hsiao TY, Lin C, Yuann Y. Identification of initiating events for pressurized water reactor accidents. ANN NUCL ENERGY 2010. [DOI: 10.1016/j.anucene.2010.06.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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