Temporal anomaly detection on IIoT-enabled manufacturing
暂无分享,去创建一个
Peng Zhan | Xueqing Li | Jun Wang | Yupeng Hu | Kun Wang | Shaokun Wang | Leigang Qu | Peng Zhan | Xueqing Li | Shaokun Wang | Jun Wang | Lei Qu | Kun Wang | Yupeng Hu
[1] Lei Dong,et al. Damage forecasting based on multi-factor fuzzy time series and cloud model , 2016, Journal of Intelligent Manufacturing.
[2] Yu Peng,et al. Intelligent pattern analysis and anomaly detection of satellite telemetry series with improved time series representation , 2018, J. Intell. Fuzzy Syst..
[3] Satish T. S. Bukkapatnam,et al. The internet of things for smart manufacturing: A review , 2019, IISE Trans..
[4] Hans-Peter Kriegel,et al. LOF: identifying density-based local outliers , 2000, SIGMOD 2000.
[5] Wei Luo,et al. Multi-resolution Representation for Streaming Time Series Retrieval , 2021, Int. J. Pattern Recognit. Artif. Intell..
[6] Hong Hu,et al. Anomaly Detection Algorithm Based on Pattern Density in Time Series , 2013 .
[7] Ahmed Samet,et al. On mining frequent chronicles for machine failure prediction , 2020, J. Intell. Manuf..
[8] Eamonn J. Keogh,et al. HOT SAX: efficiently finding the most unusual time series subsequence , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[9] Charu C. Aggarwal,et al. Outlier Detection for Temporal Data , 2014, Outlier Detection for Temporal Data.
[10] Li Wei,et al. SAXually Explicit Images: Finding Unusual Shapes , 2006, Sixth International Conference on Data Mining (ICDM'06).
[11] Duong Tuan Anh,et al. From Cluster-Based Outlier Detection to Time Series Discord Discovery , 2015, PAKDD Workshops.
[12] Fei Tao,et al. Hypernetwork-based manufacturing service scheduling for distributed and collaborative manufacturing operations towards smart manufacturing , 2020, J. Intell. Manuf..
[13] Yu Guo,et al. A weighted fuzzy C-means clustering method with density peak for anomaly detection in IoT-enabled manufacturing process , 2020 .
[14] Chia-Yu Hsu,et al. Multiple time-series convolutional neural network for fault detection and diagnosis and empirical study in semiconductor manufacturing , 2020, Journal of Intelligent Manufacturing.
[15] R. Tsay,et al. Outliers in multivariate time series , 2000 .
[16] Qiang Liu,et al. Financial time series prediction using ℓ2, 1RF-ELM , 2018, Neurocomputing.
[17] Shubair Abdulla,et al. TiSEFE: Time Series Evolving Fuzzy Engine for Network Traffic Classification , 2018, Int. J. Commun. Networks Inf. Secur..
[18] Yang Xu,et al. Temporal representation learning for time series classification , 2020, Neural Computing and Applications.
[19] Danqi Li,et al. Comparison of export and outward foreign direct investment models of Chinese enterprises based on quantitative algorithm , 2018, Neural Computing and Applications.
[20] Abdulrahman Al-Ahmari,et al. Anomaly detection using piecewise aggregate approximation in the amplitude domain , 2018, Applied Intelligence.
[21] Eamonn J. Keogh,et al. Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases , 2001, Knowledge and Information Systems.
[22] Cun Ji,et al. A novel multi-resolution representation for time series sensor data analysis , 2020, Soft Comput..
[23] Jesús García,et al. Piecewise Linear Representation Segmentation as a Multiobjective Optimization Problem , 2010, DCAI.
[24] Eamonn J. Keogh,et al. A Probabilistic Approach to Fast Pattern Matching in Time Series Databases , 1997, KDD.
[25] Yupeng Hu,et al. Feature-Based Online Representation Algorithm for Streaming Time Series Similarity Search , 2020, Int. J. Pattern Recognit. Artif. Intell..
[26] Eamonn J. Keogh,et al. Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications , 2006, IEEE Transactions on Information Technology in Biomedicine.
[27] Graham J. Williams,et al. On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms , 2000, KDD '00.
[28] Paul Helman,et al. A statistically based system for prioritizing information exploration under uncertainty , 1997, IEEE Trans. Syst. Man Cybern. Part A.
[29] Wei Luo,et al. Multi-resolution representation with recurrent neural networks application for streaming time series in IoT , 2019, Comput. Networks.