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International Journal of Production Research Volume 55, 2017 - Issue 19
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Original Articles

A condition monitoring approach for real-time monitoring of degrading systems using Kalman filter and logistic regression

E. SkordilisDepartment of Industrial Engineering, University of Miami, Coral Gables, FL, USA.
&
R. MoghaddassDepartment of Industrial Engineering, University of Miami, Coral Gables, FL, USA.Correspondence[email protected]
Pages 5579-5596 | Received 10 Jun 2016, Accepted 19 Feb 2017, Published online: 12 Apr 2017

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Jianbo Yu & Xing Liu. (2022) One-dimensional residual convolutional auto-encoder for fault detection in complex industrial processes. International Journal of Production Research 60:18, pages 5655-5674.
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Neda Gorjian Jolfaei, Raufdeen Rameezdeen, Nima Gorjian, Bo Jin & Christopher W. K. Chow. (2022) Prognostic modelling for industrial asset health management. Safety and Reliability 41:1, pages 45-97.
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Yuchen Pan, Shuzhen Chen, Desheng Wu & Alexandre Dolgui. (2021) CF-NN: a novel decision support model for borrower identification on the peer-to-peer lending platform. International Journal of Production Research 59:22, pages 6963-6974.
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Lei Xiao, Tangbin Xia, Ershun Pan & Xinghui Zhang. (2020) Long-term predictive opportunistic replacement optimisation for a small multi-component system using partial condition monitoring data to date. International Journal of Production Research 58:13, pages 4015-4032.
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Articles from other publishers (12)

Jiaxing Wang, Guoquan Liu, Xiaobo Xu & Xinjie Xing. (2024) Credit risk prediction for small and medium enterprises utilizing adjacent enterprise data and a relational graph attention network. Journal of Management Science and Engineering 9:2, pages 177-192.
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C. Domínguez-Monferrer, A. Guerra-Sancho, A. Caggiano, L. Nele, M.H. Miguélez & J.L. Cantero. (2024) Multiresolution analysis for tool failure detection in CFRP/Ti6Al4V hybrid stacks drilling in aircraft assembly lines. Mechanical Systems and Signal Processing 206, pages 110925.
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Yuan-Yuan Liu, Kuo-Hao Chang & You-Ying Chen. (2023) Simultaneous predictive maintenance and inventory policy in a continuously monitoring system using simulation optimization. Computers & Operations Research 153, pages 106146.
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Reza Ahmadi. (2022) Reliability and maintenance modeling for a production system by means of point process observations. Annals of Operations Research.
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Rony Mitra, Adrijit Goswami & Manoj Kumar Tiwari. (2022) Financial supply chain analysis with borrower identification in smart lending platform. Expert Systems with Applications 208, pages 118026.
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Albert Buabeng, Anthony Simons, Nana Kena Frempong & Yao Yevenyo Ziggah. (2022) Predictive Maintenance Model Based on Multisensor Data Fusion of Hybrid Fuzzy Rough Set Theory Feature Selection and Stacked Ensemble for Fault Classification. Mathematical Problems in Engineering 2022, pages 1-24.
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Yan-Hui Lin, Sheng-Jia Ruan, Fei Tao & Yang Hu. (2021) Dynamic Mode Transfer Scheduling for Degrading Standby System Considering Load-Sharing Characteristic. IEEE Systems Journal 15:4, pages 5405-5416.
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Yanning Sun, Wei Qin, Zilong Zhuang & Hongwei Xu. (2021) An adaptive fault detection and root-cause analysis scheme for complex industrial processes using moving window KPCA and information geometric causal inference. Journal of Intelligent Manufacturing 32:7, pages 2007-2021.
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Yanrong Li, Shizhe Peng, Yanting Li & Wei Jiang. (2020) A review of condition-based maintenance: Its prognostic and operational aspects. Frontiers of Engineering Management 7:3, pages 323-334.
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Erotokritos Skordilis & Ramin Moghaddass. (2020) A Double Hybrid State-Space Model for Real-Time Sensor-Driven Monitoring of Deteriorating Systems. IEEE Transactions on Automation Science and Engineering 17:1, pages 72-87.
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Bin Liu, Phuc Do, Benoit Iung & Min Xie. (2020) Stochastic Filtering Approach for Condition-Based Maintenance Considering Sensor Degradation. IEEE Transactions on Automation Science and Engineering 17:1, pages 177-190.
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Weiting Zhang, Dong Yang & Hongchao Wang. (2019) Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey. IEEE Systems Journal 13:3, pages 2213-2227.
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