Cover Image

Padé Approximant Neural Networks for Enhanced Electric Motor Fault Diagnosis Using Vibration and Acoustic Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kilickaya, Sertac, Eren, Levent
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Sound Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Thermal Image-based Fault Diagnosis in Induction Machines via Self-Organized Operational Neural Networks
by: Kilickaya, Sertac, et al.
Published: (2024)

Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description
by: Kilickaya, Sertac, et al.
Published: (2024)

Fault Diagnosis on Induction Motor using Machine Learning and Signal Processing
by: Samiullah, Muhammad, et al.
Published: (2024)

H-Infinity Filter Enhanced CNN-LSTM for Arrhythmia Detection from Heart Sound Recordings
by: Kumar, Rohith Shinoj, et al.
Published: (2025)

A Multimodal Lightweight Approach to Fault Diagnosis of Induction Motors in High-Dimensional Dataset
by: Ali, Usman
Published: (2025)

Real-Time Vibration-Based Bearing Fault Diagnosis Under Time-Varying Speed Conditions
by: Jalonen, Tuomas, et al.
Published: (2023)

Lab-scale Vibration Analysis Dataset and Baseline Methods for Machinery Fault Diagnosis with Machine Learning
by: Atmaja, Bagus Tris, et al.
Published: (2022)

Detection of Electric Motor Damage Through Analysis of Sound Signals Using Bayesian Neural Networks
by: Bauer, Waldemar, et al.
Published: (2024)

Ensemble-Enhanced Graph Autoencoder with GAT and Transformer-Based Encoders for Robust Fault Diagnosis
by: Singh, Moirangthem Tiken
Published: (2025)

Latent FxLMS: Accelerating Active Noise Control with Neural Adaptive Filters
by: Sarkar, Kanad, et al.
Published: (2025)

Runtime Monitoring and Fault Detection for Neural Network-Controlled Systems
by: Lan, Jianglin, et al.
Published: (2024)

Stable-by-Design Neural Network-Based LPV State-Space Models for System Identification
by: Sertbaş, Ahmet Eren, et al.
Published: (2025)

An AI-Driven Approach to Wind Turbine Bearing Fault Diagnosis from Acoustic Signals
by: Wang, Zhao, et al.
Published: (2024)

Enhancing Field-Oriented Control of Electric Drives with Tiny Neural Network Optimized for Micro-controllers
by: Elele, Martin Joel Mouk, et al.
Published: (2025)

Fault Detection in Electrical Distribution System using Autoencoders
by: Nayak, Sidharthenee, et al.
Published: (2026)

Hypergraph Contrastive Sensor Fusion for Multimodal Fault Diagnosis in Induction Motors
by: Ali, Usman, et al.
Published: (2025)

Correctness Verification of Neural Networks Approximating Differential Equations
by: Ellinas, Petros, et al.
Published: (2024)

NAPER: Fault Protection for Real-Time Resource-Constrained Deep Neural Networks
by: Rajagede, Rian Adam, et al.
Published: (2025)

Real-Time Sampling-based Online Planning for Drone Interception
by: Ryou, Gilhyun, et al.
Published: (2025)

Graph Neural Networks for Electric and Hydraulic Data Fusion to Enhance Short-term Forecasting of Pumped-storage Hydroelectricity
by: Theiler, Raffael, et al.
Published: (2024)

FaultExplainer: Leveraging Large Language Models for Interpretable Fault Detection and Diagnosis
by: Khan, Abdullah, et al.
Published: (2024)

A Physics-Aware Attention LSTM Autoencoder for Early Fault Diagnosis of Battery Systems
by: Yang, Jiong
Published: (2025)

Asymmetric Adaptation-based Real-time Fault Diagnosis Under Transitional Operating Conditions
by: Zhao, Hongshuo, et al.
Published: (2026)

Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining
by: Hose, Henrik, et al.
Published: (2024)

PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids
by: Suri, Dhruv, et al.
Published: (2025)

Distributed Acoustic Sensing for Urban Traffic Monitoring: Spatio-Temporal Attention in Recurrent Neural Networks
by: Fakhruzi, Izhan, et al.
Published: (2026)

Universal Approximation Power of Deep Residual Neural Networks via Nonlinear Control Theory
by: Tabuada, Paulo, et al.
Published: (2020)

A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling
by: Comminiello, Danilo, et al.
Published: (2021)

Integrating LLMs for Explainable Fault Diagnosis in Complex Systems
by: Dave, Akshay J., et al.
Published: (2024)

Optimizing Electric Vehicles Charging using Large Language Models and Graph Neural Networks
by: Orfanoudakis, Stavros, et al.
Published: (2025)

Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in AI, Machine Learning, and Digital Twin
by: Quamar, Md Muzakkir, et al.
Published: (2024)

Stable Acoustic Relay Assignment with High Throughput via Lase Chaos-based Reinforcement Learning
by: Chen, Zengjing, et al.
Published: (2025)

Certified Neural Approximations of Nonlinear Dynamics
by: Mathiesen, Frederik Baymler, et al.
Published: (2025)

PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks
by: Lin, Nan, et al.
Published: (2023)

Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark
by: Janzen, Felix Leonhard, et al.
Published: (2026)

Quantitative Flow Approximation Properties of Narrow Neural ODEs
by: Elamvazhuthi, Karthik
Published: (2025)

Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and Prognosis
by: Cohen, Joseph, et al.
Published: (2023)

Real-Time Safe Control of Neural Network Dynamic Models with Sound Approximation
by: Hu, Hanjiang, et al.
Published: (2024)

Complex-Value Spatio-temporal Graph Convolutional Neural Networks and its Applications to Electric Power Systems AI
by: Wu, Tong, et al.
Published: (2022)

Learning Nonlinear Systems In-Context: From Synthetic Data to Real-World Motor Control
by: Jian, Tong, et al.
Published: (2026)