A Method of Discriminating Between Power Swings and Faults Based on Principal Component Analysis by Hao Wang, Qi Yang, Xiaopeng Li, Wenyue Zhou

“…To discriminate between power swings and faults, the characteristics of three-phase voltage under a power swing and fault situation are used. …”
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Fault Diagnosis Method for Open-circuit Faults in NPC Three-level Inverter based on WKCNN by Guozheng Zhang, Menghui Li, Xin Gu, Wei Chen

“…This method directly uses raw three-phase current signals as input, applying wavelet kernel convolution to automatically capture frequency-domain fault features, combined with a Softmax classifier optimized by the Adam algorithm to achieve fault diagnosis for NPC three-level inverters. …”
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A Fault Analysis Method for Three-Phase Induction Motors Based on Spiking Neural P Systems by Zhu Huang, Tao Wang, Wei Liu, Luis Valencia-Cabrera, Mario J. Pérez-Jiménez, Pengpeng Li

“…This paper proposes a fault analysis method of motors based on modified fuzzy reasoning spiking neural P systems with real numbers (rMFRSNPSs) for fault prediction and abductive fault diagnosis. …”
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Performance Analysis of Single Phase Short Circuit of Three Phase Induction Motor Based on the Method of Field and Circuit by MENG Da-wei, GAO Xiang

“…According to the short circuit fault occurs in single-phase winding of three-phase induction motor， based on the basic theory of electrical machinery，adopting the research method of combining field and circuit， taking an 11 kW cage type three-phase induction motor as an example，a field circuit coupled analysis model and constraint conditions of motor stator winding single-phase short circuit is given，the internal magnetic field analysis and calculation of the motor，and the motor magnetic saturation effect on the reactance value，get a more accurate current and torque curve.…”
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Intelligent Analysis Method of Gear Faults Based on FRWT and SVM by Hongfang Chen, Yanqiang Sun, Zhaoyao Shi, Jiachun Lin

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INFO-RF-based fault diagnosis and analysis method for busbars by Chen Xue, Jian Zhu, Haiou Cao, Yan Gu, Siyu Chen

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Causality Analysis of Construction Failure Using The Event Tree Analysis Method and Fault Tree Analysis by Puspita Ambartiyas, Adwitya Bhaskara

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Analysis and Non-Invasive Diagnostics of Bearing Faults in Three-Phase Induction Motors by Juan Barreno, Fernando Bento, Antonio J. Marques Cardoso

“…This hybridization allowed the benefits of both methods to be combined: (i) proper evaluation of time-varying phenomena and (ii) the ability to distinguish the type of fault affecting the bearing. …”
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Non-stationary signal combined analysis based fault diagnosis method by Zhe CHEN, Yuqi HU, Shiqing TIAN, Huimin LU, Lizhong XU

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Dynamics Analysis of the Gear System with Tooth Breakage Fault by Ma Rui, Wang Hui

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Aerospace Equipment Fault Diagnosis Method Based on Fuzzy Fault Tree Analysis and Interpretable Interval Belief Rule Base by Mingxian Long, Hailong Zhu, Guangling Zhang, Wei He

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ANALYSIS OF WORK ACCIDENTS DURING THE PLUMBING INSTALLATION PROCESS USING THE FAULT TREE ANALYSIS METHOD by Sofian Bastuti, Rini Alfatiyah

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Root Cause Analysis of Oil Losses in Press Machines Using Fault Tree Analysis Method by Nismah Panjaitan, Juni Arta Lubis, Niken Kristin Silitonga, Muhammad Zaky Faris

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Hybrid algorithm for fault detection in three-phase motors using Principal Component Analysis by Cesar Orellana, Leony Ortiz, Alexander Aguila, Marcelo Garcia, Milton Ruiz

“…This research proposes developing an innovative algorithm for fault detection in three-phase motors using Principal Component Analysis (PCA) and PLECS-Matlab co-simulation. …”
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Research on the Fault Diagnosis Method of Mine Fan Based on Sound Signal Analysis by Shijie Song, Dandan Qiu, Sunwei Qin

“…In order to find a new fault diagnosis method, which is cost-effective and reliable, this paper proposes a fault diagnosis method based on sound signal. …”
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Analysis method combining improved AE algorithm and signal reconstruction in mechanical faults by Zhenhua Niu

“…Compared with the baseline model, the four indicators improved by 5.1%, 6.7%, 6.5%, and 5.3%, respectively. The memory usage test findings denoted that the average memory usage of the research model was less than 46%, which was better than the control model.DiscussionThe research promotes innovation and optimization of mechanical fault diagnosis technology, improves the accuracy and timeliness of fault diagnosis analysis models, and is of great significance for ensuring production safety, reducing maintenance costs, and improving enterprise economic benefits.…”
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Fuzzy Classification Method for Transformer Faults Based on Improved FCM by DAI Zikuo, ZHAO Qingyuan, LI Fei, ZHAI Xing, ZHAO Shuaike, TAN Yuhua

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Fault Mechanism Analysis and One-terminal Protection Method of Flexible DC Transmission Line under the Influence of Multi-type Faults by Zongjun MU, Junhong QIU, Zhenxing LI, Weidong WANG, Dengxin LIU, Bin HU

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Evaluation of FIR bandpass filter and Welch method implementation for centrifugal pump fault detection by Dedik Romahadi, Aberham Genetu Feleke, Tri Wahyu Adinarto, Dafit Feriyanto, Agung Wahyudi Biantoro, Fatkur Rachmanu

“…These findings have practical implications for the maintenance and fault diagnosis of centrifugal pumps, providing a reliable and effective method for identifying and addressing issues.…”
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Analysis of Fault Detection and Classification in Photovoltaic Arrays Using Neural Network-Based Methods by Arizadayana Zahalan, Samila Mat Zali, Ernie Che Mid, Noor Fazliana Fadzail

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