Fault Type Identification and Fault Refinement Diagnosis Model of Variable Refrigerant Flow System by Liu Qian, Li Zhengfei, Ding Xinlei, Chen Huanxin, Wang Yuzhou, Xu Chang

“…Then, the LDA method was used to reduce the dimensions of the three types of faults in the training set. …”
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Risk Diagnosis Analysis of Ethane Storage Tank Leakage Based on Fault Tree and Fuzzy Bayesian Network by Min Pang, Zheyuan Zhang, Zhaoming Zhou, Qing Li

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Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings by David Verstraete, Andrés Ferrada, Enrique López Droguett, Viviana Meruane, Mohammad Modarres

“…Three time-frequency analysis methods (short-time Fourier transform, wavelet transform, and Hilbert-Huang transform) were explored for their representation effectiveness. …”
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Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis by AN Jizhen, ZHENG Fuhao, LIU Yifan, CHEN Heng, XU Gang

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A Novel Hybrid FEM–Dynamic Modeling Approach for Enhanced Vibration Diagnostics in a Two-Stage Spur Gearbox by Amine El Amli, Bilal El Yousfi, Abdenour Soualhi, François Guillet

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Identification method for wheel/rail tread defects based on integrated partial convolutional network by CHENG Xiang, HE Jing, ZHANG Changfan, JIA Lin

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Time-Frequency Transformation Technique with Various Mother Wavelets for DC Fault Analysis in HVDC Transmission Systems by Hasnain Raza chandio, Aslam Pervez Memon

“…It is crucial to research fault detection methods based on time-frequency analysis by choosing appropriate algorithms using various (MW) methodologies for short, medium, and long HVDC transmissions at various fault resistances in order to protect the HVDC system. …”
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Optimising Solar Power Plant Reliability Using Neural Networks for Fault Detection and Diagnosis by Mohammed Bouzidi, Abdelfatah Nasri, Omar Ouledali, Messaoud Hamouda

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Causal discovery and fault diagnosis based on mixed data types for system reliability modeling by Xiaokang Wang, Siqi Jiang, Xinghan Li, Mozhu Wang

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An Analytical Short-Circuit Current Calculation Method for Full-Power Wind Turbines under Complete Fault Ride-Through Processes by YUAN Shuai, XIAO Jiaan, TAO Jun, CUI Haohan, CHAO Pupu, LI Weixing, A Minfu, WANG Liqiang, ZHONG Ming

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Object detection with afordable robustness for UAV aerial imagery: model and providing method by Viacheslav Moskalenko, Artem Korobov, Yuriy Moskalenko

“…The analysis of the experimental results demonstrates that the proposed method provides an 11.7 % increase in mAP during testing under fault injection conditions and a 15.1 % increase in mAP during adversarial attack testing.…”
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Open-Phase Fault Tolerant Model Predictive Current Controller for Asymmetrical Dual Three-Phase Permanent Magnet Synchronous Machine Drive System by Adriano Navarro-Temoche, Josu Jugo, Edorta Ibarra, Inigo Kortabarria, Endika Robles

“…Multiple-Input Multiple-Output (MIMO) tools are used to tune the controller in the theoretical analysis, supported by the disk margin method. The aim of this work is to provide an MPC-based solution with the same functionalities as of the conventional PI-R based fault tolerant control method. …”
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Comparative analysis of data-driven models on detection and classification of electrical faults in transmission systems: Explainability, applicability and industrial implications by Chibueze D. Ukwuoma, Dongsheng Cai, Chiagoziem C. Ukwuoma, Chinedu I. Otuka, Qi Huang

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Transformer Hierarchical Fault Diagnosis Model Based on Dissolved Gas Analysis of Insulating Oil and Class Overlap Features by Tie CHEN, Haowei LENG, Xianshan LI, Yifu CHEN

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A Probabilistic Seismic Hazard Analysis Method Incorporating Physics-Based Simulation and Ground Motion Prediction Equation by Zhenning Ba, Jingxuan Zhao, Yushan Zhang, Mengtao Wu, Shaocong Mu

“…In this manner, we established a comprehensive regional probabilistic seismic hazard analysis method combining PBS and GMPE. Using Tianjin as a case study, a probabilistic seismic hazard analysis was conducted with this method, providing seismic hazard curves for specific sites within each administrative region and zoning maps, which were then compared with the results of the fifth-generation zonation maps. …”
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Research on Fault Activation Law in Deep Mining Face and Mechanism of Rockburst Induced by Fault Activation by Lyu Pengfei, Bao Xinyang, Lyu Gang, Chen Xuehua

“…To effectively monitor and control the severe mining-induced rockburst in deep fault area, the fault activation law and the mechanical essence of rockburst induced by crossing fault mining were studied through theoretical analysis, microseismic monitoring, field investigation, and other methods; numerical simulation was employed to verify the obtained fault activation law and the mechanical nature. …”
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A Fault Diagnosis Model for Rotating Machinery Using VWC and MSFLA-SVM Based on Vibration Signal Analysis by Lei You, Wenjie Fan, Zongwen Li, Ying Liang, Miao Fang, Jin Wang

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Method of gearbox state estimation of the metro tunnel escalator drive by Yu. M. Danylchenko, V. Yu. Bojko, A. I. Petryshyn

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Machine Learning Approaches for Data-Driven Self-Diagnosis and Fault Detection in Spacecraft Systems by Enrico Crotti, Andrea Colagrossi

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Graph-based fault diagnosis for rotating machinery: Adaptive segmentation and structural feature integration by Moirangthem Tiken Singh

“…Traditional fault diagnosis methods often rely on manual expertise or deep learning models that require high computational resources and lack transparency, limiting their practicality in real-world settings. …”
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