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Sequential Fault Diagnosis Based on LSTM Neural Network

https://doi.org/10.1109/access.2018.2794765
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Pattern Classification
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Fault diagnosis of Tennessee Eastman process with multi-scale PCA and ANFIS
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Modified kernel principal component analysis based on local structure analysis and its application to nonlinear process fault diagnosis
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Designing supervised local neural network classifiers based on EM clustering for fault diagnosis of Tennessee Eastman process
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A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process
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A novel dynamic PCA algorithm for dynamic data modeling and process monitoring
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An improved SVM integrated GS-PCA fault diagnosis approach of Tennessee Eastman process
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Improved PLS Focused on Key-Performance-Indicator-Related Fault Diagnosis
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Deep learning approaches for visual faults diagnosis of photovoltaic systems: State-of-the-Art review
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Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation
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Applying machine learning in intelligent sewage treatment: A case study of chemical plant in sustainable cities
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An evolving framework for fault diagnosis of dynamic systems
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Optimizing critical care capacity using fuzzy multi-objective digital twins and deep learning
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A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings
inferred← citeshttps://doi.org/10.1016/j.ymssp.2023.110102openalex-snapshot
Noise-based self-supervised anomaly detection in washing machines using a deep neural network with operational information
inferred← citeshttps://doi.org/10.1016/j.ymssp.2024.111189openalex-snapshot
Mining knowledge from unlabeled data for fault diagnosis: A multi-task self-supervised approach
inferred← citeshttps://doi.org/10.1021/acs.chas.0c00075openalex-snapshot
Machine Learning and Deep Learning in Chemical Health and Safety: A Systematic Review of Techniques and Applications
inferred← citeshttps://doi.org/10.1021/acs.iecr.5c00949openalex-snapshot
Unsupervised Incremental Learning Framework for Online Fault Diagnosis
inferred← citeshttps://doi.org/10.1021/acs.iecr.6c00106openalex-snapshot
RAISE: Real-Time Adaptive Artificial Intelligence System for Safety Enforcement
inferred← citeshttps://doi.org/10.1021/acsomega.2c04017openalex-snapshot
Fault Diagnosis of the Dynamic Chemical Process Based on the Optimized CNN-LSTM Network
inferred← citeshttps://doi.org/10.1021/acsomega.3c09122openalex-snapshot
Physical Graph-Based Spatiotemporal Fusion Approach for Process Fault Diagnosis
inferred← citeshttps://doi.org/10.1038/s41598-024-56983-6openalex-snapshot
DDFC: deep learning approach for deep feature extraction and classification of brain tumors using magnetic resonance imaging in E-healthcare system
inferred← citeshttps://doi.org/10.1038/s41598-024-73520-7openalex-snapshot
Classification of RTV-coated porcelain insulator condition under different profiles and levels of pollution
inferred← citeshttps://doi.org/10.1038/s41598-025-89161-3openalex-snapshot
A study on rolling bearing fault diagnosis using RIME-VMD
inferred← citeshttps://doi.org/10.1038/s41598-025-96137-wopenalex-snapshot
Multi scale convolutional neural network combining BiLSTM and attention mechanism for bearing fault diagnosis under multiple working conditions
inferred← citeshttps://doi.org/10.1049/cps2.12049openalex-snapshot
COVID‐19 clinical medical relationship extraction based on MPNet
inferred← citeshttps://doi.org/10.1049/iet-smt.2020.0083openalex-snapshot
Fault detection in insulators based on ultrasonic signal processing using a hybrid deep learning technique
inferred← citeshttps://doi.org/10.1049/rpg2.70152openalex-snapshot
Predictive Maintenance of Solar Photovoltaic Systems: A Comprehensive Review
inferred← citeshttps://doi.org/10.1049/smt2.12075openalex-snapshot
Statistical multivariate monitoring of rolling bearings working under varying operational conditions
inferred← citeshttps://doi.org/10.1080/00207543.2025.2513577openalex-snapshot
A novel distributed fine-grained energy consumption monitoring for large-scale nonlinear dynamic industrial processes
inferred← citeshttps://doi.org/10.1080/03235408.2022.2105639openalex-snapshot
Potato late blight (Phytophthora infestans) disease forecasting using an auto-encoded long short-term memory recurrent neural networks in North-Western Algeria
inferred← citeshttps://doi.org/10.1088/1361-6501/abfbabopenalex-snapshot
An intelligent fault diagnosis method for an electromechanical actuator based on sparse feature and long short-term network
inferred← citeshttps://doi.org/10.1088/1361-6501/ac9e6copenalex-snapshot
A planetary gearbox fault diagnosis method based on time-series imaging feature fusion and a transformer model
inferred← citeshttps://doi.org/10.1088/1361-6501/acc47bopenalex-snapshot
A latent representation dual manifold regularization broad learning system with incremental learning capability for fault diagnosis
inferred← citeshttps://doi.org/10.1088/1361-6501/acca37openalex-snapshot
An imbalanced sample intelligent fault diagnosis method using data enhancement and improved broad learning system
inferred← citeshttps://doi.org/10.1088/1361-6501/ad3d00openalex-snapshot
Fault diagnosis of drone motors driven by current signal data with few samples
inferred← citeshttps://doi.org/10.1088/1361-6501/ad5617openalex-snapshot
Fault diagnosis of induction motor in the cooling water supply system using a multi-channel data fusion transformer with limited sample conditions*
inferred← citeshttps://doi.org/10.1088/1361-6501/ada6edopenalex-snapshot
TCN-MBMAResNet: a novel fault diagnosis method for small marine rolling bearings based on time convolutional neural network in tandem with multi-branch residual network
inferred← citeshttps://doi.org/10.1088/1361-6501/adb2b0openalex-snapshot
Fault diagnosis of planetary gears in noisy environments using a VMTransformer model
inferred← citeshttps://doi.org/10.1088/1361-6501/adb872openalex-snapshot
VSC-ACGAN: bearing fault diagnosis model applied to imbalanced samples
inferred← citeshttps://doi.org/10.1088/1361-6501/adc4fbopenalex-snapshot
A novel residual graph representation learning method towards multi-source data fusion and fault diagnosis of machinery
inferred← citeshttps://doi.org/10.1088/1742-6596/1914/1/012046openalex-snapshot
Self-attention Mechanism based Dynamic Fault Diagnosis and Classification for Chemical Processes
inferred← citeshttps://doi.org/10.1088/1742-6596/2187/1/012041openalex-snapshot
Research on Fault Diagnosis Technology Based on Deep Learning
inferred← citeshttps://doi.org/10.1088/1755-1315/696/1/012052openalex-snapshot
Sequential Fault Detection and Classification in Chemical Process Using a Deep Convolutional Encoder-Decoder Architecture Based on System Dynamics
inferred← citeshttps://doi.org/10.1093/imaman/dpae029openalex-snapshot
On the use of machine learning in supply chain management: a systematic review
inferred← citeshttps://doi.org/10.1093/jcde/qwad031openalex-snapshot
MPARN: multi-scale path attention residual network for fault diagnosis of rotating machines
inferred← citeshttps://doi.org/10.1108/wjstsd-05-2021-0059openalex-snapshot
Determination of isolator damages in electric power transmission lines with continuous wavelet transform and multitape power spectrum density
inferred← citeshttps://doi.org/10.1109/access.2019.2916000openalex-snapshot
A Hybrid Vibration Signal Prediction Model Using Autocorrelation Local Characteristic-Scale Decomposition and Improved Long Short Term Memory
inferred← citeshttps://doi.org/10.1109/access.2019.2918060openalex-snapshot
An IoT Tree Health Indexing Method Using Heterogeneous Neural Network
inferred← citeshttps://doi.org/10.1109/access.2019.2924003openalex-snapshot
Generalization of Deep Neural Networks for Imbalanced Fault Classification of Machinery Using Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/access.2019.2927092openalex-snapshot
Sequence Fault Diagnosis for PEMFC Water Management Subsystem Using Deep Learning With t-SNE
inferred← citeshttps://doi.org/10.1109/access.2019.2947714openalex-snapshot
A Multiscale Feature Learning Scheme Based on Deep Learning for Industrial Process Monitoring and Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/access.2019.2950985openalex-snapshot
A Review on Deep Learning Applications in Prognostics and Health Management
inferred← citeshttps://doi.org/10.1109/access.2020.2988668openalex-snapshot
LSTM Soft Sensor Development of Batch Processes With Multivariate Trajectory-Based Ensemble Just-in-Time Learning
inferred← citeshttps://doi.org/10.1109/access.2020.3000004openalex-snapshot
Deep Learning With Tensor Factorization Layers for Sequential Fault Diagnosis and Industrial Process Monitoring
inferred← citeshttps://doi.org/10.1109/access.2020.3006265openalex-snapshot
A Novel Signal Detection Scheme Based on Adaptive Ensemble Deep Learning Algorithm in SC-FDE Systems
inferred← citeshttps://doi.org/10.1109/access.2020.3040065openalex-snapshot
Applying Convolutional Neural Networks With Different Word Representation Techniques to Recommend Bug Fixers
inferred← citeshttps://doi.org/10.1109/access.2021.3084602openalex-snapshot
Unsupervised Condition Diagnosis of Linear Motion Guide Using Generative Model Based on Images
inferred← citeshttps://doi.org/10.1109/access.2021.3095480openalex-snapshot
An Approach to Detecting Malicious Information Attacks for Platoon Safety
inferred← citeshttps://doi.org/10.1109/access.2021.3107478openalex-snapshot
A Novel Relaying Scheme Using Long Short Term Memory for Bipolar High Voltage Direct Current Transmission Lines
inferred← citeshttps://doi.org/10.1109/access.2021.3110947openalex-snapshot
Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
inferred← citeshttps://doi.org/10.1109/access.2021.3112605openalex-snapshot
Siamese Distinguishing Features Attentional Enhancement Transfer Fault Diagnosis Method for Variable Rotational Speed
inferred← citeshttps://doi.org/10.1109/access.2022.3228916openalex-snapshot
Adaptation of a Real-Time Deep Learning Approach With an Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles
inferred← citeshttps://doi.org/10.1109/access.2022.3233672openalex-snapshot
Model-Based Fault Diagnosis Algorithms for Robotic Systems
inferred← citeshttps://doi.org/10.1109/access.2023.3274569openalex-snapshot
Chemical Process Fault Diagnosis Based on Improved ResNet Fusing CBAM and SPP
inferred← citeshttps://doi.org/10.1109/access.2023.3304328openalex-snapshot
Harnessing the Multimodal Data Integration and Deep Learning for Occupational Injury Severity Prediction
inferred← citeshttps://doi.org/10.1109/access.2023.3337658openalex-snapshot
Out-of-Distribution Data Generation for Fault Detection and Diagnosis in Industrial Systems
inferred← citeshttps://doi.org/10.1109/access.2024.3390234openalex-snapshot
A Novel Framework for Robust Bearing Fault Diagnosis: Preprocessing, Model Selection, and Performance Evaluation
inferred← citeshttps://doi.org/10.1109/access.2024.3394046openalex-snapshot
Bayesian Learning of Causal Networks for Unsupervised Fault Diagnosis in Distributed Energy Systems
inferred← citeshttps://doi.org/10.1109/access.2025.3525520openalex-snapshot
Cyber-Physical System Security for Manufacturing Industry 4.0 Using LSTM-CNN Parallel Orchestration
inferred← citeshttps://doi.org/10.1109/access.2025.3549079openalex-snapshot
1DCNN-Residual Bidirectional LSTM for Permanent Magnet Synchronous Motor Temperature Prediction Based on Operating Condition Clustering
inferred← citeshttps://doi.org/10.1109/access.2025.3555984openalex-snapshot
Domain Generalized Open-Set Fault Detection and Diagnosis for Belt Conveyor Systems With Prototype Learning
inferred← citeshttps://doi.org/10.1109/aeet66561.2025.11307033openalex-snapshot
Fault Detection Method for Uhv Dc Transmission System Relay Protection Based on Lstm-Rnn
inferred← citeshttps://doi.org/10.1109/aiars63200.2024.00025openalex-snapshot
Algorithm for Fault Diagnosis System of Pumping Units Based on Fuzzy Logic and Neural Networks
inferred← citeshttps://doi.org/10.1109/aiot66900.2025.00111openalex-snapshot
A Deep Sequential Neural Network-Based Approach for Abnormal Vibration Detection in Robotic Arms
inferred← citeshttps://doi.org/10.1109/cac48633.2019.8996824openalex-snapshot
Recurrent Neural Network Model with Self-Attention Mechanism for Fault Detection and Diagnosis
inferred← citeshttps://doi.org/10.1109/cac48633.2019.8997417openalex-snapshot
Application of improved parallel LSTM in bearing fault diagnosis
inferred← citeshttps://doi.org/10.1109/cac57257.2022.10055667openalex-snapshot
A Novel LSTM-1DCNN-based Deep Network for Fault Diagnosis in Chemical Process
inferred← citeshttps://doi.org/10.1109/cac59555.2023.10450871openalex-snapshot
A Novel Fault Diagnosis Method based on Bayesian Optimized Multi-Scale Convolutional Neural Network in Chemical Processes
inferred← citeshttps://doi.org/10.1109/case49997.2022.9926712openalex-snapshot
Noise Optimization in Artificial Neural Networks
inferred← citeshttps://doi.org/10.1109/ccdc65474.2025.11091064openalex-snapshot
Bi-Level Fault Diagnosis for Chemical Processes Based on DIndRNN-MTodynet
inferred← citeshttps://doi.org/10.1109/ccdc69976.2026.11560241openalex-snapshot
A CEEMDAN-GAF and Cross-Attention-Based Multimodal Fault Diagnosis Method for Ball Screws
inferred← citeshttps://doi.org/10.1109/cce53527.2021.9633053openalex-snapshot
Automotive engine fault detection and isolation using LSTM for model-based residual sequence classification
inferred← citeshttps://doi.org/10.1109/cisce52179.2021.9445962openalex-snapshot
A Temporal Convolutional Network Based Method for Fault Diagnosis of DEH System
inferred← citeshttps://doi.org/10.1109/codit70676.2026.11630726openalex-snapshot
Severity Classification of Progressive Rotor Electrical Unbalance in Wind Turbine DFIGs Using Deep Temporal Learning
inferred← citeshttps://doi.org/10.1109/comst.2025.3567802openalex-snapshot
A Survey on Intelligent Predictive Maintenance (IPdM) in the Era of Fully Connected Intelligence
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