Suchergebnisse - Unsupervised data-driven method

Unsupervised data-driven method for damage localization using guided waves von Lomazzi, Luca, Junges, Rafael, Giglio, Marco, Cadini, Francesco

“… To date, localization has been mainly performed through tomographic algorithms. Although those algorithms represent consolidated methods, they come with unsolved …”
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A Novel Unsupervised Data-Driven Method for Electricity Theft Detection in AMI Using Observer Meters von Qi, Ruobin, Zheng, Jun, Luo, Zhirui, Li, Qingqing

“… A novel unsupervised data-driven method for electricity theft detection in AMI is proposed in this paper …”
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Seq-SVF: An unsupervised data-driven method for automatically identifying hidden governing equations von Wu, Zhetong, Ye, Hongfei, Zhang, Hongwu, Zheng, Yonggang

“… In this work, an unsupervised data-driven method based on sequential singular value filtering (Seq-SVF …”
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Unsupervised Learning Methods for Data-Driven Vibration-Based Structural Health Monitoring: A Review von Eltouny, Kareem, Gomaa, Mohamed, Liang, Xiao

“… In this article, we review publications on data-driven structural health monitoring from the last decade that relies on unsupervised learning methods with a focus on real-world application and practicality …”
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An unsupervised adversarial autoencoder for cyber attack detection in power distribution grids von Zideh, Mehdi Jabbari, Khalghani, Mohammad Reza, Solanki, Sarika Khushalani

“… To address these challenges, this paper proposes an unsupervised adversarial autoencoder (AAE) model to detect FDIAs in unbalanced …”
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A data-driven method for unsupervised electricity consumption characterisation at the district level and beyond von Mor, Gerard, Cipriano, Jordi, Martirano, Giacomo, Pignatelli, Francesco, Lodi, Chiara, Lazzari, Florencia, Grillone, Benedetto, Chemisana, Daniel

“… A bottom-up electricity characterisation methodology of the building stock at the local level is presented. It is based on the statistical learning analysis of …”
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A novel data-driven sensor placement optimization method for unsupervised damage detection using noise-assisted neural networks with attention mechanism von Shi, Sheng, Du, Dongsheng, Mercan, Oya, Kalkan, Erol, Wang, Shuguang

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An unsupervised data completion method for physically-based data-driven models von Ayensa-Jiménez, Jacobo, Doweidar, Mohamed H., Sanz-Herrera, Jose A., Doblaré, Manuel

“… Data-driven methods are an innovative model-free approach for engineering and sciences, still in process of maturation …”
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Multivariate physics-informed convolutional autoencoder for anomaly detection in power distribution systems with widespread deployment of distributed energy resources von Jabbari Zideh, Mehdi, Khushalani Solanki, Sarika

“… Despite the relentless progress of deep learning models in analyzing the system conditions under cyber-physical events, their abilities are limited in the …”
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A data-driven air quality assessment method based on unsupervised machine learning and median statistical analysis: The case of China von Wang, Xiaoxia, Wang, Luqi, Liu, Yuanyuan, Hu, Sangen, Liu, Xuezhen, Dong, Zhongzhen

“… Unsupervised machine learning was applied to classify 367 cities across China into seven categories …”
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An Unsupervised Feature Selection Method for Data-Driven Anomaly Detection Systems von Almusallam, Naif

“… Feature selection has been widely used as a pre-processing step that helps to optimise the performance of data-driven intrusion/anomaly detection systems in achieving their tasks …”
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Physics-Informed Convolutional Autoencoder for Cyber Anomaly Detection in Power Distribution Grids von Zideh, Mehdi Jabbari, Solanki, Sarika Khushalani

“… However, these infrastructures are still prone to stealth cyber attacks. The existing data-driven anomaly detection methods suffer from a lack of knowledge …”
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An unsupervised data-driven approach for behind-the-meter photovoltaic power generation disaggregation von Pan, Keda, Chen, Zhaohua, Lai, Chun Sing, Xie, Changhong, Wang, Dongxiao, Li, Xuecong, Zhao, Zhuoli, Tong, Ning, Lai, Loi Lei

“… •Proposed an unsupervised BtM PVPG disaggregation method with data-driven approach …”
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An Evaluation Method for Pavement Maintenance Priority Classification Based on an Unsupervised Data-Driven Multidimensional Performance Model von Zhao, Jing, Wang, Xuancang, Wang, Shuai, Guo, Yucheng, Ji, Guanyu, Li, Shanqiang

“… This paper proposes an unsupervised multidimensional performance data-driven model for evaluating road maintenance priority based on comprehensive multidimensional indicators, which solves the issues …”
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A Review on Data‐Driven Learning Approaches for Fault Detection and Diagnosis in Chemical Processes von Taqvi, Syed Ali Ammar, Zabiri, Haslinda, Tufa, Lemma Dendena, Uddin, Fahim, Fatima, Syeda Anmol, Maulud, Abdulhalim Shah

“… Methods based on supervised and unsupervised data‐driven techniques are reviewed, and the challenges in the field of fault detection and diagnosis have also been highlighted …”
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Data‐driven approaches for tau‐PET imaging biomarkers in Alzheimer's disease von Vogel, Jacob W., Mattsson, Niklas, Iturria‐Medina, Yasser, Strandberg, Olof T., Schöll, Michael, Dansereau, Christian, Villeneuve, Sylvia, Flier, Wiesje M., Scheltens, Philip, Bellec, Pierre, Evans, Alan C., Hansson, Oskar, Ossenkoppele, Rik

“… The present study employs an unsupervised data‐driven method to identify spatial patterns of tau …”
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A Systematic Review of Studies Reporting Data-Driven Cognitive Subtypes across the Psychosis Spectrum von Green, Melissa J., Girshkin, Leah, Kremerskothen, Kyle, Watkeys, Oliver, Quidé, Yann

“… We systematically reviewed the evidence from published studies reporting the use of data-driven (i.e., unsupervised) clustering methods to delineate cognitive subtypes among adults diagnosed with schizophrenia, schizoaffective disorder, or bipolar disorder …”
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Unsupervised machine and deep learning methods for structural damage detection: A comparative study von Wang, Zilong, Cha, Young‐Jin

“… ‐driven methods in unsupervised learning mode have been developed to solve the practical difficulties in data acquisition for civil infrastructures in different scenarios …”
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Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review von Mirnaghi, Maryam Sadat, Haghighat, Fariborz

“… •Reviewing limitations of previous data-mining based FDD methods on HVAC systems …”
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Data-driven unsupervised anomaly detection and recovery of unmanned aerial vehicle flight data based on spatiotemporal correlation von Yang, Lei, Li, ShaoBo, Li, ChuanJiang, Zhu, CaiChao, Zhang, AnSi, Liang, GuoQiang

“… ) neural network data-driven method for unsupervised anomaly detection and recovery of UAV flight …”
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