Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

13 February 2018

Papers citing "Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding"

50 / 271 papers shown

Title
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions Lucas Correia Jan-Christoph Goos Philipp Klein Thomas Bäck Anna V. Kononova AI4TS 54 3 0 07 Aug 2024
Predictive maintenance solution for industrial systems -- an unsupervised approach based on log periodic power law Bogdan Lobodziñski 31 0 0 01 Aug 2024
TimeInf: Time Series Data Contribution via Influence Functions Yizi Zhang Jingyan Shen Xiaoxue Xiong Yongchan Kwon AI4TS TDI 34 0 0 21 Jul 2024
Omni-Dimensional Frequency Learner for General Time Series Analysis Xianing Chen.Hanting Chen Hanting Chen Hailin Hu AI4TS 40 0 0 15 Jul 2024
Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Threshold Tolulope Ale Nicole-Jeanne Schlegel V. P Janeja 24 1 0 14 Jul 2024
TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data Lucas Correia Jan-Christoph Goos Philipp Klein Thomas Bäck Anna V. Kononova 35 1 0 09 Jul 2024
Seamless Monitoring of Stress Levels Leveraging a Universal Model for Time Sequences Davide Gabrielli Bardh Prenkaj Paola Velardi 34 0 0 04 Jul 2024
The OPS-SAT benchmark for detecting anomalies in satellite telemetry Bogdan Ruszczak Krzysztof Kotowski David Evans Jakub Nalepa 43 2 0 29 Jun 2024
Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection Yutong Chen Hongzuo Xu Guansong Pang Hezhe Qiao Yuan Zhou Mingsheng Shang AI4TS 48 1 0 28 Jun 2024
Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation K. Choi Jihun Yi J. Mok Sungroh Yoon 35 1 0 18 Jun 2024
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models Ali Behrouz Michele Santacatterina Ramin Zabih Mamba AI4TS 56 4 0 06 Jun 2024
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection Ronghui Xu Hao Miao Senzhang Wang Philip S. Yu Jianxin Wang AI4TS 58 12 0 04 Jun 2024
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata MoE AI4CE 49 2 0 02 Jun 2024
Joint Selective State Space Model and Detrending for Robust Time Series Anomaly Detection Junqi Chen Xu Tan S. Rahardja Jiawei Yang S. Rahardja Mamba 44 2 0 30 May 2024
USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time Series Hong Liu Xiuxiu Qiu Yiming Shi Z. Zang 34 0 0 25 May 2024
UnitNorm: Rethinking Normalization for Transformers in Time Series Nan Huang C. Kümmerle Xiang Zhang AI4TS 38 2 0 24 May 2024
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders Qichao Shentu Beibu Li Kai Zhao Yang Shu Zhongwen Rao Lujia Pan Bin Yang Chenjuan Guo AI4TS 53 5 0 24 May 2024
Large language models can be zero-shot anomaly detectors for time series? Sarah Alnegheimish Linh Nguyen Laure Berti-Equille K. Veeramachaneni AI4TS 38 12 0 23 May 2024
PATE: Proximity-Aware Time series anomaly Evaluation Ramin Ghorbani Marcel J. T. Reinders David Tax 34 1 0 20 May 2024
RESTAD: REconstruction and Similarity based Transformer for time series Anomaly Detection Ramin Ghorbani Marcel J. T. Reinders David Tax AI4TS 21 2 0 13 May 2024
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask Zineb Senane Lele Cao V. Buchner Yusuke Tashiro Lei You P. Herman Mats Nordahl Ruibo Tu Vilhelm von Ehrenheim DiffM AI4TS 22 10 0 09 May 2024
A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series Ziquan Deng Xiwei Xuan Kwan-Liu Ma Zhaodan Kong AI4TS 28 0 0 06 May 2024
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting Nannan Bian Minhong Zhu Li Chen Weiran Cai 25 0 0 06 May 2024
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection? M. Sarfraz Mei-Yen Chen Lukas Layer Kunyu Peng Marios Koulakis 43 3 0 04 May 2024
Accurate and fast anomaly detection in industrial processes and IoT environments Simone Tonini Andrea Vandin Francesca Chiaromonte Daniele Licari Fernando Barsacchi 26 0 0 27 Apr 2024
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods Wenzhen Yue Xianghua Ying Ruohao Guo DongDong Chen Ji Shi Bowei Xing Yuqing Zhu Taiyan Chen AI4TS 36 3 0 27 Apr 2024
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series Zahra Zamanzadeh Darban Yiyuan Yang Geoffrey I. Webb Charu C. Aggarwal Qingsong Wen Xiaojun Jia Mahsa Salehi 62 0 0 17 Apr 2024
TSLANet: Rethinking Transformers for Time Series Representation Learning Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu Xiaoli Li AI4TS AIFin 36 37 0 12 Apr 2024
HCL-MTSAD: Hierarchical Contrastive Consistency Learning for Accurate Detection of Industrial Multivariate Time Series Anomalies Haili Sun Yan-Ming Huang Lansheng Han Cai Fu Chunjie Zhou 41 0 0 12 Apr 2024
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection Daniel Lakey Tim Schlippe 35 2 0 19 Mar 2024
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations Xinli Hao Yile Chen Chen Yang Zhihui Du Chaohong Ma Chao Wu Xiaofeng Meng 38 3 0 15 Mar 2024
Caformer: Rethinking Time Series Analysis from Causal Perspective Kexuan Zhang Xiaobei Zou Yang Tang AI4TS 37 1 0 13 Mar 2024
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series Mahsun Altin Altan Cakir AI4TS 16 6 0 07 Mar 2024
Towards efficient deep autoencoders for multivariate time series anomaly detection Marcin Pietroñ Dominik Zurek Kamil Faber Roberto Corizzo 43 0 0 04 Mar 2024
UNITS: A Unified Multi-Task Time Series Model Shanghua Gao Teddy Koker Owen Queen Thomas Hartvigsen Theodoros Tsiligkaridis Marinka Zitnik AI4TS 54 17 0 29 Feb 2024
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models Haotian Si Changhua Pei Hang Cui Jingwen Yang Yongqian Sun ... Haiming Zhang Jing Han Dan Pei Jianhui Li Gaogang Xie AI4TS 32 7 0 16 Feb 2024
Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning Hao Wang Xu Ju Jiangtong Li Zhijian Xu Dawei Cheng Qiang Xu AI4TS KELM 38 19 0 07 Feb 2024
MOMENT: A Family of Open Time-series Foundation Models Mononito Goswami Konrad Szafer Arjun Choudhry Yifu Cai Shuo Li Artur Dubrawski AIFin AI4TS 71 118 0 06 Feb 2024
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective Zexin Wang Changhua Pei Minghua Ma Xin Wang Zhihan Li ... Dongmei Zhang Qingwei Lin Haiming Zhang Jianhui Li Gaogang Xie AI4TS 43 29 0 05 Feb 2024
Understanding Time Series Anomaly State Detection through One-Class Classification Hanxu Zhou Yuan Zhang Guangjie Leng Ruofan Wang Zhi-Qin John Xu AI4TS 28 0 0 03 Feb 2024
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection Zhijie Zhong Zhiwen Yu Yiyuan Yang Weizheng Wang Kaixiang Yang 36 6 0 18 Jan 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks Haowen Hou F. Richard Yu AI4TS 37 21 0 17 Jan 2024
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies Audrey Der Chin-Chia Michael Yeh Yan Zheng Junpeng Wang Zhongfang Zhuang Liang Wang Wei Zhang Eamonn J. Keogh AI4TS 45 2 0 16 Jan 2024
Machine Learning on Dynamic Graphs: A Survey on Applications Sanaz Hasanzadeh Fard AI4CE 26 4 0 16 Jan 2024
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values Yu Zheng Huan Yee Koh Ming Jin Lianhua Chi Haishuai Wang Khoa T. Phan Yi-Ping Phoebe Chen Shirui Pan Wei Xiang AI4TS 47 14 0 11 Jan 2024
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection Jinyang Liu Wen-Cheng Gu Zhuangbin Chen Yichen Li Yuxin Su Michael R. Lyu AI4TS 25 2 0 10 Jan 2024
Universal Time-Series Representation Learning: A Survey Patara Trirat Yooju Shin Junhyeok Kang Youngeun Nam Jihye Na Minyoung Bae Joeun Kim Byunghyun Kim Jae-Gil Lee AI4TS 75 15 0 08 Jan 2024
Outlier Ranking in Large-Scale Public Health Streams Ananya Joshi Tina Townes Nolan Gormley Luke Neureiter Roni Rosenfeld Bryan Wilder LM&MA AI4TS 36 0 0 02 Jan 2024
Label-Free Multivariate Time Series Anomaly Detection Qihang Zhou Shibo He Haoyu Liu Jiming Chen Wenchao Meng AI4TS 32 10 0 17 Dec 2023
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection F. Febrinanto Kristen Moore Chandra Thapa Mujie Liu Vidya Saikrishna Jiangang Ma Feng Xia CML 33 2 0 15 Dec 2023