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Fault Diagnosis

Papers

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Showing 301–350 of 375 papers

TitleStatusHype
Structural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN—0
VSLLaVA: a pipeline of large multimodal foundation model for industrial vibration signal analysis—0
Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis—0
Weighted Joint Maximum Mean Discrepancy Enabled Multi-Source-Multi-Target Unsupervised Domain Adaptation Fault Diagnosis—0
Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis—0
ABIGX: A Unified Framework for eXplainable Fault Detection and Classification—0
A BiLSTM-CNN based Multitask Learning Approach for Fiber Fault Diagnosis—0
A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions—0
A Closer Look at Bearing Fault Classification Approaches—0
A Comparative Analysis of Reinforcement Learning and Conventional Deep Learning Approaches for Bearing Fault Diagnosis—0
A Comparison of Decision Analysis and Expert Rules for Sequential Diagnosis—0
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
An interpretable deep learning method for bearing fault diagnosis—0
A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression—0
A Novel Deep Parallel Time-series Relation Network for Fault Diagnosis—0
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series—0
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Benchmark Results

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