Reference health
Knowledge-Enhanced Spatiotemporal Analysis for Anomaly Detection in Process Manufacturing
20/20 checkable references clean · checked 2026-08-29
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
32 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 20 checked references that resolve
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Complex System Monitoring Based on Distributed Least Squares Method
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Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis
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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
resolves10.1109/TNNLS.2021.3136171
Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection
resolves10.1016/j.ces.2019.01.060
Dynamic process fault detection and diagnosis based on a combined approach of hidden Markov and Bayesian network model
resolves10.1016/0005-1098(84)90098-0
Process fault detection based on modeling and estimation methods—A survey
resolves10.1016/j.procir.2018.03.229
Root cause analysis of failures and quality deviations in manufacturing using machine learning
resolves10.1002/aic.16497
A nonlinear support vector machine‐based feature selection approach for fault detection and diagnosis: Application to the Tennessee Eastman process
resolves10.1016/j.cie.2005.01.009
One-class support vector machines—an application in machine fault detection and classification
resolves10.1016/j.psep.2021.03.052
Process topology convolutional network model for chemical process fault diagnosis
resolves10.1109/TCYB.2021.3121312
An Accurate GRU-Based Power Time-Series Prediction Approach With Selective State Updating and Stochastic Optimization
The 32 references without a DOI — listed, not checked
no DOI — not checkedInvestigating machine learning techniques for effective predictive maintenance in industrial systems
no DOI — not checkeddifficulty of applying model-based techqniues ot process data due to highly correlated and non-Gaussian and non-stationary data
no DOI — not checkedSpectral networks and locally connected networks on graphs
no DOI — not checkedI-rcam: Intelligent expert system for root cause analysis in maintenance decision making
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no DOI — not checkedref15
no DOI — not checkedRoot cause diagnosis of process fault using kpca and bayesian network
no DOI — not checkedGenerative adversarial nets
no DOI — not checkedData driven fault diagnosis and fault tolerant control: some advances and possible new directions
no DOI — not checkedGenad: General unsupervised anomaly detection using multivariate time series for large-scale wireless base stations
no DOI — not checkedref23
no DOI — not checkedDeep graph-convolutional generative adversarial network for semi-supervised learning on graphs
no DOI — not checkedref25
no DOI — not checkedSemi-supervised classification with graph convolutional networks
no DOI — not checkedref27
no DOI — not checkedStan: Spatio-temporal adversarial networks for abnormal event detection, in: IEEE international conference on acoustics, speech and signal processing
no DOI — not checkedDiffusion convolutional recurrent neural network: Data-driven traffic forecasting
no DOI — not checkedref31
no DOI — not checkedref34
no DOI — not checkedA review on fault detection and process diagnostics in industrial processes
no DOI — not checkedref36
no DOI — not checkedThe emerging field of signal processing on graphs: Extending highdimensional data analysis to networks and other irregular domains
no DOI — not checkedVariational inference for on-line anomaly detection in high-dimensional time series
no DOI — not checkedref40
no DOI — not checkedTimeseAD: Benchmarking deep multivariate time-series anomaly detection
no DOI — not checkedA hierarchical deep neural network for fault diagnosis on tennessee-eastman process
no DOI — not checkedUnsupervised anomaly detection via variational auto-encoder for seasonal kpis in web applications
no DOI — not checkedA causal approach to detecting multivariate time-series anomalies and root causes
no DOI — not checkedSpatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting
no DOI — not checkedAutomatic traffic anomaly detection on the road network with spatial-temporal graph neural network representation learning
no DOI — not checkedFault detection and classification through multivariate statistical techniques
no DOI — not checkedBeatgan: Anomalous rhythm detection using adversarially generated time series
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