Abnormal Power Fluctuation Detection of Wind Turbines Based on Subband Processing and Correlation Coefficient by CHEN Gang, HU Kaikai, CHEN Yanan, ZHANG Jiayou, XIONG Wenhao

“…This paper proposes a method for detecting abnormal power fluctuations of wind turbine based on subband processing and correlation coefficient. …”
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Anomaly detection and confidence interval‐based replacement in decay state coefficient of ship power system by Xingshan Chang, Xinping Yan, Bohua Qiu, Muheng Wei, Jie Liu, Hanhua Zhu

Subjects: “…anomaly trend detection and prediction…”
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Early Detection of Failing Lead-Acid Automotive Batteries Using the Detrended Cross-Correlation Analysis Coefficient by Thiago B. Murari, Roberto C. da Costa, Hernane B. de B. Pereira, Roberto L. S. Monteiro, Marcelo A. Moret

“…This work introduces a model for lead-acid battery health monitoring in automobiles, focusing on detecting degradation before complete failure. With the proliferation of electronic modules and increasing power demands in vehicles, along with enhanced sensor data availability, this study aims to investigate battery lifespan. …”
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Deep learning-based dual monitoring system for power forecasting and fault detection in nuclear power applications by Mingzhe Lyu, Helin Gong, Zhang Chen, Jiangyu Wang, Mingxiao Zhong, Zhiyong Wang, Qing Li, Zefei Pan

“…This study proposes a hybrid framework for power prediction and fault detection that integrates multi-head self-attention mechanisms with long short-term memory networks, combined with a dual-monitoring system. …”
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Frequency Domain Sampling Optimization of Cable Defect Detection and Location Method Based on Exponentially Increased Frequency Reflection Coefficient Spectrum by Kuangyi Jiang, Kai Zhou, Xiang Ren, Yefei Xu

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Fault Detection of the Power System Based on the Chaotic Neural Network and Wavelet Transform by Zuoxun Wang, Liqiang Xu

“…The results show that the criterion algorithm can effectively determine whether there are faults in the power system, the fault detection algorithm has the capabilities of locating the system faults accurately, and both algorithms are not affected by fault type, fault location, fault initial angle, and transition resistance.…”
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Genetic Artificial Hummingbird Algorithm-Support Vector Machine for Timely Power Theft Detection by Emmanuel Gbafore, Davies Rene Segera, Cosmas Raymond Mutugi Kiruki

“…These findings address important metaheuristic optimization gaps highlighting the model’s potential for power theft detection.…”
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The study of the aerodynamic coefficients of rotating cylinders by Н.К. Танашева, А.Н. Дюсембаева, Б.Р. Нусупбеков, Л.Л. Миньков, Ж.Г. Нургалиева, К.К. Саденова

“…An increase in the velocity of the airflow is determined by the reduction of the coefficient of the friction coefficient and the lifting force of the cylinders in rotary motion; The aerodynamic characteristics of the coiled cylinders were first detected to increase the distance between the cylinders and reach them at a later distance. …”
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ppb-Level SO₂ Photoacoustic Sensor for SF₆ Decomposition Analysis Utilizing a High-Power UV Laser with a Power Normalization Method by Xiu Yang, Baisong Chen, Yuyang He, Chenchen Zhu, Xing Zhou, Yize Liang, Biao Li, Xukun Yin

“…The parameters of the SO₂ sensor system were optimized in terms of laser power and operating pressure. A 1σ detection limit (SNR = 1) of 2.34 ppb was achieved with a 1 s integration time, corresponding to a normalized noise equivalent absorption (NNEA) coefficient of 7.62 × 10⁻¹⁰ cm⁻¹WHz^−1/2.…”
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Detecting and calibrating large biases in global onshore wind power assessment across temporal scales by Chengzhi Hou, Zhiwei Xu, Kristopher B. Karnauskas, Danqing Huang, Huayu Lu

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Detection and Classification of Abnormal Power Load Data by Combining One-Hot Encoding and GAN–Transformer by Ting Yang, Hongyi Yu, Danhong Lu, Shengkui Bai, Yan Li, Wenyao Fan, Ketian Liu

“…Furthermore, it outperforms traditional methods such as LSTM-NDT, Transformer, OmniAnomaly and MAD-GAN in Overall Accuracy, Average Accuracy, and Kappa coefficient, thereby validating the effectiveness and superiority of the proposed anomaly detection and classification method.…”
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Harnessing the power of temperature gradient-enhanced pyroelectricity: Self-powered temperature/light detection in Ce-doped HfO2 ferroelectric films with downward spontaneous polar... by Jie Peng, Jie Jiang, Shuoguo Yuan, Pengfei Hou, Jinbin Wang

“…Ferroelectric materials are ideal for self-powered sensors in Internet of Things (IoT) and high-precision detection systems due to their excellent polarization properties. …”
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Mathematical model of detection of intra-erythrocyte pathologies using optoacoustic method by D. A. Kravchuk

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A harmonic current detection algorithm for aviation active power filter based on generalized delayed signal superposition by Yong Lu, Bohan Li, Guofei Teng, Zhen Zhang, Xianfeng Xu

“…Abstract To address the limitations of traditional harmonic detection methods for active power filters in variable-frequency-grids of the More Electric Aircraft (MEA), including inadequate filtering performance and poor adaptability to frequency variations, this paper proposed a harmonic detection algorithm tailored for active power filters in variable-frequency-grids of the MEA. …”
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IMPROVING EFFICIENCY OF THE JET PUMP AT LOW COEFFICIENTS OF EJECTION by A. G. Butenko, S. Yu. Smik

“…Jet pumps are widely used in the power industry as well as in many others. Their main disadvantage is low operating efficiency which aggravates when the jet pump is working with a low ejection coefficient. …”
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Detection of corrosion on silvered glass reflectors via image processing by Florian Wiesinger, Sarah Baghouil, Estelle Le Baron, Romain Collignon, Filipa Santos, Teresa C. Diamantino, Isabel Catarino, Jorge Facão, Cristina Ferreira, Soraia Páscoa, Florian Sutter, Aránzazu Fernández-García, Johannes Wette

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Anomaly Usage Behavior Detection Based on Multi-Source Water and Electricity Consumption Information by Wenqing Zhou, Chaoqiang Chen, Qin Yan, Bin Li, Kang Liu, Yingjun Zheng, Hongming Yang, Hui Xiao, Sheng Su

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Classification and Identification Method of Power Equipment for Industrial Users Based on Harmonic Emission Level by Xingang YANG, Peng ZHANG, Yang DU, Aiqiang PAN, Qin XU

“…A classification and identification method of power equipment for industrial users based on k-means algorithm and silhouette coefficient is proposed. …”
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RELIABILITY AND SENSITIVITY OF COUNTERMOVEMENT JUMP-DERIVED VARIABLES IN DETECTING DIFFERENT FATIGUE LEVELS by Débora Aparecida Knihs, Daniele Detanico, Daniel Rocha da Silva, Juliano Dal Pupo

“…ABSTRACT The aim was to verify the reliability and sensitivity of countermovement jump (CMJ) derived variables in detecting small, moderate and large changes and whether the capacity of CMJ-derived variables in detecting fatigue is dependent of the volume of the fatiguing exercise. …”
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High-resolution accurate mass- mass spectrometry based- untargeted metabolomics: Reproducibility and detection power across data-dependent acquisition, data-independent acquisition... by Hanane El Boudlali, Laura Lehmicke, Uta Ceglarek

“…DIA showed the best detection power for all spiking eicosanoids at 10 and 1 ng/mL in TLE matrix. …”
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