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Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic
  Thresholding

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

13 February 2018
K. Hundman
V. Constantinou
Christopher Laporte
Ian Colwell
T. Söderström
    AI4TS
ArXivPDFHTML

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

50 / 271 papers shown
Title
Unsupervised Anomaly Detection for Autonomous Robots via Mahalanobis SVDD with Audio-IMU Fusion
Unsupervised Anomaly Detection for Autonomous Robots via Mahalanobis SVDD with Audio-IMU Fusion
Yizhuo Yang
Jiulin Zhao
Xinhang Xu
Kun Cao
Shenghai Yuan
Lihua Xie
34
0
0
09 May 2025
Context-Aware Online Conformal Anomaly Detection with Prediction-Powered Data Acquisition
Context-Aware Online Conformal Anomaly Detection with Prediction-Powered Data Acquisition
Amirmohammad Farzaneh
Osvaldo Simeone
38
0
0
03 May 2025
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection
Wenxin Zhang
Ding Xu
Guangzhen Yao
Xiaojian Lin
Renxiang Guan
Chengze Du
Renda Han
Xi Xuan
Cuicui Luo
AI4TS
64
0
0
02 May 2025
M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
M2^22AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
Sarah Alnegheimish
Zelin He
Matthew Reimherr
Akash Chandrayan
Abhinav Pradhan
Luca DÁngelo
37
0
0
21 Apr 2025
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
Feiyu Xiong
X. Lin
Wenjun Yu
Guangzhen Yao
jingxiang Zhong
Heng Chang
Renda Han
Songcheng Xu
Hao Shi
Cuicui Luo
AI4TS
36
0
0
19 Apr 2025
Decomposition-based multi-scale transformer framework for time series anomaly detection
Decomposition-based multi-scale transformer framework for time series anomaly detection
Wenxin Zhang
Cuicui Luo
AI4TS
25
0
0
19 Apr 2025
Possibility for Proactive Anomaly Detection
Possibility for Proactive Anomaly Detection
Jinsung Jeon
Jaehyeon Park
Sewon Park
Jeongwhan Choi
Minjung Kim
Noseong Park
AI4TS
32
0
0
15 Apr 2025
MADLLM: Multivariate Anomaly Detection via Pre-trained LLMs
MADLLM: Multivariate Anomaly Detection via Pre-trained LLMs
Wei Tao
Xiaoyang Qu
Kai Lu
Jiguang Wan
Guokuan Li
Jianzong Wang
44
0
0
13 Apr 2025
iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning
iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning
Jiyu Tian
Mingchu Li
Liming Chen
Zihao Wang
AI4TS
21
0
0
06 Apr 2025
VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection
VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection
Sinchee Chin
Fan Zhang
Xiaochen Yang
Jing-Hao Xue
Wenming Yang
Peng Jia
Guijin Wang
Luo Yingqun
AI4TS
51
0
0
03 Apr 2025
RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data
RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data
Xudong Mou
Rui Wang
Bo Li
Tianyu Wo
Jie Sun
Hairu Wang
Xudong Liu
AI4TS
50
1
0
24 Mar 2025
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection
Long Tan Le
Tung Nguyen
Han Shu
Suranga Seneviratne
Choong Seon Hong
Nguyen Tran
45
0
0
14 Mar 2025
TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation
Chenghan Li
Mingchen Li
Ruisheng Diao
AI4TS
65
0
0
10 Mar 2025
Graph-Augmented LSTM for Forecasting Sparse Anomalies in Graph-Structured Time Series
Sneh Pillai
AI4TS
68
0
0
05 Mar 2025
OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator Interest
Yuhan Jing
Yufei Guo
Lei Zhang
Haifeng Sun
Bo He
Zirui Zhuang
Chengsen Wang
Q. Qi
Jianxin Liao
AI4TS
58
0
0
03 Mar 2025
TimesBERT: A BERT-Style Foundation Model for Time Series Understanding
TimesBERT: A BERT-Style Foundation Model for Time Series Understanding
Haoran Zhang
Yong Liu
Yunzhong Qiu
Haixuan Liu
Zhongyi Pei
Jianmin Wang
Mingsheng Long
AI4TS
47
0
0
28 Feb 2025
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
Wenxuan Wang
K. Wu
Yujian Betterest Li
Dan Wang
Xinsong Zhang
Qingbin Liu
AI4TS
75
0
0
24 Feb 2025
Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection
Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection
Keigo Nogami
Tamura Hiroto
Gouhei Tanaka
FedML
92
0
0
17 Feb 2025
Open Challenges in Time Series Anomaly Detection: An Industry Perspective
Andreas Mueller
AI4TS
45
1
0
08 Feb 2025
DINAMO: Dynamic and INterpretable Anomaly MOnitoring for Large-Scale Particle Physics Experiments
DINAMO: Dynamic and INterpretable Anomaly MOnitoring for Large-Scale Particle Physics Experiments
Arsenii Gavrikov
Julián García Pardiñas
Alberto Garfagnini
67
0
0
31 Jan 2025
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection
Qingxiang Liu
Chenghao Liu
Sheng Sun
Di Yao
Keli Zhang
AI4TS
67
0
0
30 Jan 2025
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges
Aitor Sánchez-Ferrera
Borja Calvo
Jose A. Lozano
AI4TS
48
0
0
28 Jan 2025
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
Zehao Liu
Mengzhou Gao
Pengfei Jiao
CML
AI4TS
53
1
0
23 Jan 2025
Multivariate Time Series Anomaly Detection by Capturing Coarse-Grained Intra- and Inter-Variate Dependencies
Multivariate Time Series Anomaly Detection by Capturing Coarse-Grained Intra- and Inter-Variate Dependencies
Yongzheng Xie
Hongyu Zhang
M. Babar
AI4TS
36
0
0
22 Jan 2025
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
Yaxuan Wang
Hao Cheng
Jing Xiong
Qingsong Wen
Han Jia
Ruixuan Song
Li Zhang
Zhaowei Zhu
Yang Liu
AI4TS
64
1
0
21 Jan 2025
GraphSubDetector: Time Series Subsequence Anomaly Detection via
  Density-Aware Adaptive Graph Neural Network
GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network
Weiqi Chen
Zhiqiang Zhou
Qingsong Wen
Lin Sun
AI4TS
79
0
0
26 Nov 2024
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection
Mengxuan Li
Ke Liu
Hongyang Chen
Jiajun Bu
Hongwei Wang
Haishuai Wang
AI4TS
96
1
0
18 Nov 2024
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
Qiang Wu
Gechang Yao
Zhixi Feng
Shuyuan Yang
AI4TS
26
2
0
07 Nov 2024
See it, Think it, Sorted: Large Multimodal Models are Few-shot Time
  Series Anomaly Analyzers
See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers
Jiaxin Zhuang
Leon Yan
Zhenwei Zhang
Ruiqi Wang
Jiawei Zhang
Yuantao Gu
AI4TS
40
8
0
04 Nov 2024
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
Quan Zhou
Changhua Pei
Fei Sun
Jing Han
Zhengwei Gao
Dan Pei
Haiming Zhang
Gaogang Xie
Jianhui Li
AI4TS
72
4
0
01 Nov 2024
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
Can Chen
Gabriel Oliveira
Hossein Sharifi-Noghabi
Tristan Sylvain
AI4TS
26
1
0
21 Oct 2024
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection
  with Multi-scale Reconstructive Contrast
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast
Shiyan Hu
Kai Zhao
Xiangfei Qiu
Yang Shu
Jilin Hu
Bin Yang
Chenjuan Guo
AI4TS
49
6
0
21 Oct 2024
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
Shiyu Wang
Jiawei Li
Xiaoming Shi
Zhou Ye
Baichuan Mo
Wenze Lin
Shengtong Ju
Zhixuan Chu
Ming Jin
AI4TS
51
11
0
21 Oct 2024
Abnormality Forecasting: Time Series Anomaly Prediction via Future
  Context Modeling
Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling
Sinong Zhao
Wenrui Wang
Hongzuo Xu
Zhaoyang Yu
Qingsong Wen
Gang Wang
Xiaoguang Liu
Guansong Pang
AI4TS
33
0
0
16 Oct 2024
Active Learning of Robot Vision Using Adaptive Path Planning
Active Learning of Robot Vision Using Adaptive Path Planning
Julius Ruckin
Federico Magistri
Cyrill Stachniss
Marija Popović
SSL
31
0
0
14 Oct 2024
DFM: Interpolant-free Dual Flow Matching
DFM: Interpolant-free Dual Flow Matching
Denis A. Gudovskiy
Tomoyuki Okuno
Yohei Nakata
AI4CE
49
0
0
11 Oct 2024
Interdependency Matters: Graph Alignment for Multivariate Time Series
  Anomaly Detection
Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection
Yuanyi Wang
Haifeng Sun
Chengsen Wang
Mengde Zhu
Jingyu Wang
Wei Tang
Q. Qi
Zirui Zhuang
Jianxin Liao
AI4TS
41
2
0
11 Oct 2024
Convolutional Neural Network Design and Evaluation for Real-Time
  Multivariate Time Series Fault Detection in Spacecraft Attitude Sensors
Convolutional Neural Network Design and Evaluation for Real-Time Multivariate Time Series Fault Detection in Spacecraft Attitude Sensors
Riccardo Gallon
Fabian Schiemenz
Alessandra Menicucci
Eberhard Gill
21
0
0
11 Oct 2024
Generalizable autoregressive modeling of time series through functional
  narratives
Generalizable autoregressive modeling of time series through functional narratives
Ran Liu
Wenrui Ma
Ellen L. Zippi
Hadi Pouransari
Jingyun Xiao
...
Behrooz Mahasseni
Juri Minxha
Erdrin Azemi
Eva L. Dyer
Ali Moin
AI4TS
48
1
0
10 Oct 2024
Machine Learning-based vs Deep Learning-based Anomaly Detection in
  Multivariate Time Series for Spacecraft Attitude Sensors
Machine Learning-based vs Deep Learning-based Anomaly Detection in Multivariate Time Series for Spacecraft Attitude Sensors
R. Gallon
F. Schiemenz
A. Krstova
A. Menicucci
E. Gill
34
0
0
26 Sep 2024
ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine
  Learning-Based Arousal Detection in Clinical Practice
ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice
Stefan Kraft
Andreas Theissler
Vera Wienhausen-Wilke
Philipp Walter
Gjergji Kasneci
33
0
0
20 Sep 2024
GDFlow: Anomaly Detection with NCDE-based Normalizing Flow for Advanced
  Driver Assistance System
GDFlow: Anomaly Detection with NCDE-based Normalizing Flow for Advanced Driver Assistance System
Kangjun Lee
Minha Kim
Youngho Jun
Simon S. Woo
43
2
0
09 Sep 2024
Channel-wise Influence: Estimating Data Influence for Multivariate Time
  Series
Channel-wise Influence: Estimating Data Influence for Multivariate Time Series
Muyao Wang
Zeke Xie
Bo Chen
AI4TS
TDI
47
0
0
27 Aug 2024
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation
  Models
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Models
Nobuo Namura
Yuma Ichikawa
AI4TS
32
1
0
27 Aug 2024
Multivariate Time-Series Anomaly Detection based on Enhancing Graph
  Attention Networks with Topological Analysis
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis
Zhe Liu
Xiang Huang
Jingyun Zhang
Zhifeng Hao
Li Sun
Hao Peng
AI4TS
28
4
0
23 Aug 2024
Hypergraph Learning based Recommender System for Anomaly Detection,
  Control and Optimization
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
Sakhinana Sagar Srinivas
Rajat Kumar Sarkar
Venkataramana Runkana
AI4TS
32
2
0
21 Aug 2024
sTransformer: A Modular Approach for Extracting Inter-Sequential and
  Temporal Information for Time-Series Forecasting
sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting
Jiaheng Yin
Zhengxin Shi
Jianshen Zhang
Xiaomin Lin
Yulin Huang
Yongzhi Qi
Wei Qi
AI4TS
35
0
0
19 Aug 2024
Agentic Retrieval-Augmented Generation for Time Series Analysis
Agentic Retrieval-Augmented Generation for Time Series Analysis
Chidaksh Ravuru
Sagar Srinivas Sakhinana
Venkataramana Runkana
AI4TS
39
5
0
18 Aug 2024
MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series Analysis
MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series Analysis
Nimeesha Chan
Felix Parker
William Bennett
Tianyi Wu
Mung Yao Jia
James Fackler
Kimia Ghobadi
AI4TS
34
3
0
14 Aug 2024
Cluster-Wide Task Slowdown Detection in Cloud System
Cluster-Wide Task Slowdown Detection in Cloud System
Feiyi Chen
Yingying Zhang
Lunting Fan
Yuxuan Liang
Guansong Pang
Qingsong Wen
Shuiguang Deng
39
1
0
08 Aug 2024
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