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Multi-source information fusion based fault diagnosis of ground-source heat pump using Bayesian network

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Cited by:

  1. Faping Zhang & Jialun Zhang & Junjiu Ma, 2023. "Data-manifold-based monitoring and anomaly diagnosis for manufacturing process," Journal of Intelligent Manufacturing, Springer, vol. 34(7), pages 3159-3177, October.
  2. Dui, Hongyan & Si, Shubin & Yam, Richard C.M., 2017. "A cost-based integrated importance measure of system components for preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 98-104.
  3. Bertone, Edoardo & Sahin, Oz & Stewart, Rodney A. & Zou, Patrick X.W. & Alam, Morshed & Hampson, Keith & Blair, Evan, 2018. "Role of financial mechanisms for accelerating the rate of water and energy efficiency retrofits in Australian public buildings: Hybrid Bayesian Network and System Dynamics modelling approach," Applied Energy, Elsevier, vol. 210(C), pages 409-419.
  4. Li, Huanhuan & Xu, Beibei & Arzaghi, Ehsan & Abbassi, Rouzbeh & Chen, Diyi & Aggidis, George A. & Zhang, Jingjing & Patelli, Edoardo, 2020. "Transient safety assessment and risk mitigation of a hydroelectric generation system," Energy, Elsevier, vol. 196(C).
  5. Li, Tingting & Zhou, Yangze & Zhao, Yang & Zhang, Chaobo & Zhang, Xuejun, 2022. "A hierarchical object oriented Bayesian network-based fault diagnosis method for building energy systems," Applied Energy, Elsevier, vol. 306(PB).
  6. Bode, Gerrit & Thul, Simon & Baranski, Marc & Müller, Dirk, 2020. "Real-world application of machine-learning-based fault detection trained with experimental data," Energy, Elsevier, vol. 198(C).
  7. Özkan Uğurlu & Serdar Yıldız & Sean Loughney & Jin Wang & Shota Kuntchulia & Irakli Sharabidze, 2020. "Analyzing Collision, Grounding, and Sinking Accidents Occurring in the Black Sea Utilizing HFACS and Bayesian Networks," Risk Analysis, John Wiley & Sons, vol. 40(12), pages 2610-2638, December.
  8. Benjamin-Fink, Nicole & Reilly, Brian K., 2017. "A road map for developing and applying object-oriented bayesian networks to “WICKED” problems," Ecological Modelling, Elsevier, vol. 360(C), pages 27-44.
  9. Ren, Yi & Fan, Dongming & Feng, Qiang & Wang, Zili & Sun, Bo & Yang, Dezhen, 2019. "Agent-based restoration approach for reliability with load balancing on smart grids," Applied Energy, Elsevier, vol. 249(C), pages 46-57.
  10. Wu, Shengnan & Zhang, Laibin & Barros, Anne & Zheng, Wenpei & Liu, Yiliu, 2018. "Performance analysis for subsea blind shear ram preventers subject to testing strategies," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 281-298.
  11. Li, Zhongliang & Outbib, Rachid & Giurgea, Stefan & Hissel, Daniel & Jemei, Samir & Giraud, Alain & Rosini, Sebastien, 2016. "Online implementation of SVM based fault diagnosis strategy for PEMFC systems," Applied Energy, Elsevier, vol. 164(C), pages 284-293.
  12. Cai, Baoping & Xie, Min & Liu, Yonghong & Liu, Yiliu & Feng, Qiang, 2018. "Availability-based engineering resilience metric and its corresponding evaluation methodology," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 216-224.
  13. Chen, Mingjie & Tompson, Andrew F.B. & Mellors, Robert J. & Ramirez, Abelardo L. & Dyer, Kathleen M. & Yang, Xianjin & Wagoner, Jeffrey L., 2014. "An efficient Bayesian inversion of a geothermal prospect using a multivariate adaptive regression spline method," Applied Energy, Elsevier, vol. 136(C), pages 619-627.
  14. Aguilera, José Joaquín & Meesenburg, Wiebke & Ommen, Torben & Markussen, Wiebke Brix & Poulsen, Jonas Lundsted & Zühlsdorf, Benjamin & Elmegaard, Brian, 2022. "A review of common faults in large-scale heat pumps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
  15. Chunwang Xiaogeng LiRen & Xiaojun Ma & Fuxiang Chen & Zhicheng Yang & Sandeep Panchal, 2022. "Simulation and inspection of fault arc in building energy-saving distribution system," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 331-339, March.
  16. Thierno M. L. Diallo & Sébastien Henry & Yacine Ouzrout & Abdelaziz Bouras, 2018. "Data-Based Fault Diagnosis Model Using a Bayesian Causal Analysis Framework," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 583-620, March.
  17. Song, Yufei & Mi, Jinhua & Cheng, Yuhua & Bai, Libing & Chen, Kai, 2020. "A dependency bounds analysis method for reliability assessment of complex system with hybrid uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
  18. Zhang, Rongpeng & Hong, Tianzhen, 2017. "Modeling of HVAC operational faults in building performance simulation," Applied Energy, Elsevier, vol. 202(C), pages 178-188.
  19. Fam, Mei Ling & He, Xuhong & Konovessis, Dimitrios & Ong, Lin Seng, 2020. "Using Dynamic Bayesian Belief Network for analysing well decommissioning failures and long-term monitoring of decommissioned wells," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
  20. Sahu, Atma Ram & Palei, Sanjay Kumar, 2022. "Fault analysis of dragline subsystem using Bayesian network model," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
  21. Dui, Hongyan & Si, Shubin & Wu, Shaomin & Yam, Richard C.M., 2017. "An importance measure for multistate systems with external factors," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 49-57.
  22. Feng, Qiang & Bi, Xiong & Zhao, Xiujie & Chen, Yiran & Sun, Bo, 2017. "Heuristic hybrid game approach for fleet condition-based maintenance planning," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 166-176.
  23. Zhao, Yang & Li, Tingting & Zhang, Xuejun & Zhang, Chaobo, 2019. "Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 85-101.
  24. Junyu Guo & Hong-Zhong Huang & Weiwen Peng & Jie Zhou, 2019. "Bayesian information fusion for degradation analysis of deteriorating products with individual heterogeneity," Journal of Risk and Reliability, , vol. 233(4), pages 615-622, August.
  25. Wang, Zhanwei & Wang, Zhiwei & He, Suowei & Gu, Xiaowei & Yan, Zeng Feng, 2017. "Fault detection and diagnosis of chillers using Bayesian network merged distance rejection and multi-source non-sensor information," Applied Energy, Elsevier, vol. 188(C), pages 200-214.
  26. Xiaoming Xue & Jianzhong Zhou & Yongchuan Zhang & Weibo Zhang & Wenlong Zhu, 2014. "An improved ensemble empirical mode decomposition method and its application to pressure pulsation analysis of hydroelectric generator unit," Journal of Risk and Reliability, , vol. 228(6), pages 543-557, December.
  27. Yu Zang & Wei Shangguan & Baigen Cai & Huashen Wang & Michael G Pecht, 2019. "Methods for fault diagnosis of high-speed railways: A review," Journal of Risk and Reliability, , vol. 233(5), pages 908-922, October.
  28. Liu, Zengkai & Liu, Yonghong & Zhang, Dawei & Cai, Baoping & Zheng, Chao, 2015. "Fault diagnosis for a solar assisted heat pump system under incomplete data and expert knowledge," Energy, Elsevier, vol. 87(C), pages 41-48.
  29. Chen, Liwei & Gao, Yansan & Dui, Hongyan & Xing, Liudong, 2021. "Importance measure-based maintenance optimization strategy for pod slewing system," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
  30. Yixiao Zhao & Yihai He & Fengdi Liu & Xiao Han & Anqi Zhang & Di Zhou & Yao Li, 2020. "Operational risk modeling based on operational data fusion for multi-state manufacturing systems," Journal of Risk and Reliability, , vol. 234(2), pages 407-421, April.
  31. Yu Han & Jianxing Yu & Chuan Wang & Xiaobo Xie & Chao Yu & Yupeng Liu, 2023. "A fault diagnosis method for the HIPPS of FPSO unit based on dynamic Bayesian network," Journal of Risk and Reliability, , vol. 237(4), pages 752-764, August.
  32. Ali Behravan & Bahareh Kiamanesh & Roman Obermaisser, 2021. "Fault Diagnosis of DCV and Heating Systems Based on Causal Relation in Fuzzy Bayesian Belief Networks Using Relation Direction Probabilities," Energies, MDPI, vol. 14(20), pages 1-47, October.
  33. Borunda, Mónica & Jaramillo, O.A. & Reyes, Alberto & Ibargüengoytia, Pablo H., 2016. "Bayesian networks in renewable energy systems: A bibliographical survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 32-45.
  34. Amir Masoud Mirhosseini & S. Adib Nazari & A. Maghsoud Pour & S. Etemadi Haghighi & M. Zareh, 2019. "Probabilistic failure analysis of hot gas path in a heavy-duty gas turbine using Bayesian networks," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(5), pages 1173-1185, October.
  35. Garshasbi, Mohammad Sadeq, 2016. "Fault localization based on combines active and passive measurements in computer networks by ant colony optimization," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 205-212.
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