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A Fault Detection Method for Electric Vehicle Battery System Based on Bayesian Optimization SVDD Considering a Few Faulty Samples

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Energy Engineering 2024年第9期121卷 2543-2568页

作者： Miao Li Fanyong Cheng Jiong Yang maxwell mensah duodu Hao Tu School of Electronics and Electrical Engineering Anhui Polytechnic UniversityWuhu241000China

Accurate and reliable fault detection is essential for the safe operation of electric *** vector data description(SVDD)has been widely used in the field of fault ***,constructing the hypersphere boundary only describes the distribution of unlabeled samples,while the distribution of faulty samples cannot be effectively described and easilymisses detecting faulty data due to the imbalance of sample ***,selecting parameters is critical to the detection performance,and empirical parameterization is generally timeconsuming and laborious and may not result in finding the optimal ***,this paper proposes a semi-supervised data-driven method based on which the SVDD algorithm is improved and achieves excellent fault detection *** incorporating faulty samples into the underlying SVDD model,training deals better with the problem of missing detection of faulty samples caused by the imbalance in the distribution of abnormal samples,and the hypersphere boundary ismodified to classify the samplesmore *** Bayesian Optimization NSVDD(BO-NSVDD)model was constructed to quickly and accurately optimize hyperparameter *** the experiments,electric vehicle operation data with four common fault types are used to evaluate the performance with other five models,and the results show that the BO-NSVDD model presents superior detection performance for each type of fault data,especially in the imperceptible early and minor faults,which has seen very obvious ***,the strong robustness of the proposed method is verified by adding different intensities of noise in the dataset.

关键词： Fault detection vehicle battery system lithium batteries fault samples

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Lip print enhancement: review

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Forensic Sciences Research 2022年第1期7卷 24-28页

作者： maxwell Abedi Constance Afoakwah Dan Nana Osei mensah Bonsu Institute of Forensic Science Gujarat Forensic Sciences UniversityGandhinagarGujaratIndia Department of Forensic Sciences University of Cape CoastCape CoastGhana

Lip print(LP)evidence can be an essential tool for human *** have conventionally been developed using substances such as lysochrome dyes,fluorescent dyes,indigo dye,aluminium powder,and silver metallic ***,techniques for LP enhancement from various substrates are currently inconsistent and lack standardisation in *** review summarises current knowledge on the physical and chemical techniques of LP enhancement,identifies limitations,and provides suggestions for future research on practical applications of cheiloscopy as a forensic tool in criminal justice.

关键词： Forensic sciences cheiloscopy lip print lysochrome fluorescent dye persistent lipstick

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