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Fault Diagnosis

Papers

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Showing 201–250 of 375 papers

TitleStatusHype
A Composite Fault Diagnosis Model for NPPs Based on Bayesian-EfficientNet Module—0
A comprehensive review on convolutional neural network in machine fault diagnosis—0
A Comprehensive Survey of Belief Rule Base (BRB) Hybrid Expert system: Bridging Decision Science and Professional Services—0
A Cost-Sensitive Deep Belief Network for Imbalanced Classification—0
Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines—0
A crayfish-optimized wavelet filter and its application to fault diagnosis—0
Active Foundational Models for Fault Diagnosis of Electrical Motors—0
A data-driven approach to UIO-based fault diagnosis—0
Addressing Domain Shift via Knowledge Space Sharing for Generalized Zero-Shot Industrial Fault Diagnosis—0
Advancing machine fault diagnosis: A detailed examination of convolutional neural networks—0
Adversarial adaptive 1-D convolutional neural networks for bearing fault diagnosis under varying working condition—0
A fault detection scheme for PV panels in large scale PV stations with complex installation conditions—0
A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis—0
A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid—0
AI-driven Transformer Model for Fault Prediction in Non-Linear Dynamic Automotive System—0
AI Explainability for Power Electronics: From a Lipschitz Continuity Perspective—0
AIOptimizer - Software performance optimisation prototype for cost minimisation—0
A lightweight network for photovoltaic cell defect detection in electroluminescence images based on neural architecture search and knowledge distillation—0
A Multimodal Lightweight Approach to Fault Diagnosis of Induction Motors in High-Dimensional Dataset—0
A Multi-size Kernel based Adaptive Convolutional Neural Network for Bearing Fault Diagnosis—0
A multi-stage semi-supervised improved deep embedded clustering method for bearing fault diagnosis under the situation of insufficient labeled samples—0
A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring—0
An Adaptive feature mode decomposition based on a novel health indicator for bearing fault diagnosis—0
An AI-Driven Approach to Wind Turbine Bearing Fault Diagnosis from Acoustic Signals—0
An alternative paradigm of fault diagnosis in dynamic systems: orthogonal projection-based methods—0
Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems—0
An Audio-Based Fault Diagnosis Method for Quadrotors Using Convolutional Neural Network and Transfer Learning—0
An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data—0
An End-to-End Comprehensive Gear Fault Diagnosis Method Based on Multi-Scale Feature-Level Fusion Strategy—0
A new framework of sensor selection for developing a fault detection system based on data-envelopment analysis—0
A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines—0
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery—0
An improved CTGAN for data processing method of imbalanced disk failure—0
An Improved Fault Diagnosis Strategy for Induction Motors Using Weighted Probability Ensemble Deep Learning—0
An Intelligent Gearbox Fault Diagnosis under Different Operating Conditions using Adversarial Domain Adaptation—0
Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN—0
Synthetic to Real Framework based on Convolutional Multi-Head Attention and Hybrid Domain Alignment—0
System Resilience through Health Monitoring and Reconfiguration—0
T4PdM: a Deep Neural Network based on the Transformer Architecture for Fault Diagnosis of Rotating Machinery—0
TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis—0
Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry—0
TelApart: Differentiating Network Faults from Customer-Premise Faults in Cable Broadband Networks—0
The LiU-ICE Benchmark -- An Industrial Fault Diagnosis Case Study—0
Thermal Image-based Fault Diagnosis in Induction Machines via Self-Organized Operational Neural Networks—0
The State of the Art in transformer fault diagnosis with artificial intelligence and Dissolved Gas Analysis: A Review of the Literature—0
Three-dimensional instantaneous orbit map for rotor-bearing system based on a novel multivariate complex variational mode decomposition algorithm—0
Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation—0
Toward Debugging Deep Reinforcement Learning Programs with RLExplorer—0
Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks—0
Towards a Universal Vibration Analysis Dataset: A Framework for Transfer Learning in Predictive Maintenance and Structural Health Monitoring—0
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Benchmark Results

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