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Fault Diagnosis

Papers

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Showing 51–100 of 375 papers

TitleStatusHype
AI-driven Transformer Model for Fault Prediction in Non-Linear Dynamic Automotive System—0
A Novel Deep Parallel Time-series Relation Network for Fault Diagnosis—0
A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression—0
A Novel Semi-Supervised Data-Driven Method for Chiller Fault Diagnosis with Unlabeled Data—0
A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems—0
A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings—0
A Novel Transfer Learning Method Utilizing Acoustic and Vibration Signals for Rotating Machinery Fault Diagnosis—0
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications—0
Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines—0
Application of a Dense Fusion Attention Network in Fault Diagnosis of Centrifugal Fan—0
Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems—0
Approximate Model-Based Diagnosis Using Greedy Stochastic Search—0
An interpretable deep learning method for bearing fault diagnosis—0
A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid—0
A Closer Look at Bearing Fault Classification Approaches—0
A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis—0
An Improved Fault Diagnosis Strategy for Induction Motors Using Weighted Probability Ensemble Deep Learning—0
A Cost-Sensitive Deep Belief Network for Imbalanced Classification—0
A BiLSTM-CNN based Multitask Learning Approach for Fiber Fault Diagnosis—0
Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers—0
Data-driven design of fault diagnosis for three-phase PWM rectifier using random forests technique with transient synthetic features—0
An improved CTGAN for data processing method of imbalanced disk failure—0
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery—0
A fault detection scheme for PV panels in large scale PV stations with complex installation conditions—0
A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines—0
A new framework of sensor selection for developing a fault detection system based on data-envelopment analysis—0
A Comprehensive Survey of Belief Rule Base (BRB) Hybrid Expert system: Bridging Decision Science and Professional Services—0
A comprehensive review on convolutional neural network in machine fault diagnosis—0
Adversarial adaptive 1-D convolutional neural networks for bearing fault diagnosis under varying working condition—0
Bearing fault diagnosis based on spectrum images of vibration signals—0
An End-to-End Comprehensive Gear Fault Diagnosis Method Based on Multi-Scale Feature-Level Fusion Strategy—0
Advancing machine fault diagnosis: A detailed examination of convolutional neural networks—0
Bearing fault diagnosis based on multi-scale spectral images and convolutional neural network—0
Bayesian Sample Size Determination of Vibration Signals in Machine Learning Approach to Fault Diagnosis of Roller Bearings—0
Bearing Fault Diagnosis using Graph Sampling and Aggregation Network—0
An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data—0
Backdoors to Abduction—0
Benchmarking deep learning models for bearing fault diagnosis using the CWRU dataset: A multi-label approach—0
Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features—0
Boosting-inspired online learning with transfer for railway maintenance—0
Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities—0
CADM: Confusion Model-based Detection Method for Real-drift in Chunk Data Stream—0
A WT-ResNet based fault diagnosis model for the urban rail train transmission system—0
Can Hessian-Based Insights Support Fault Diagnosis in Attention-based Models?—0
Canonical Correlation Guided Deep Neural Network—0
Causal Disentanglement Hidden Markov Model for Fault Diagnosis—0
An Audio-Based Fault Diagnosis Method for Quadrotors Using Convolutional Neural Network and Transfer Learning—0
Constructive Incremental Learning for Fault Diagnosis of Rolling Bearings with Ensemble Domain Adaptation—0
An Intelligent Gearbox Fault Diagnosis under Different Operating Conditions using Adversarial Domain Adaptation—0
Consultation on Industrial Machine Faults with Large language Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DANNAccuray80.22—Unverified
2LSTMAccuray61.56—Unverified