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

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  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. Zhang, Qiongfang & Yan, Hao & Liu, Yongming, 2024. "Power generation forecasting for solar plants based on Dynamic Bayesian networks by fusing multi-source information," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. Liu, Chi & Xu, Zhezhuang & Yuan, Meng & Xie, Junwei & Yuan, Yazhou & Ma, Kai, 2025. "Building electrical load forecasting with occupancy data based on wireless sensing," Applied Energy, Elsevier, vol. 380(C).
  37. 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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