Cover Image

ECNN: A Low-complex, Adjustable CNN for Industrial Pump Monitoring Using Vibration Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ney, Jonas, Wehn, Norbert
Format:	Preprint
Published:	2025
Subjects:	Signal Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CNN-Based Equalization for Communications: Achieving Gigabit Throughput with a Flexible FPGA Hardware Architecture
by: Ney, Jonas, et al.
Published: (2024)

Achieving High Throughput with a Trainable Neural-Network-Based Equalizer for Communications on FPGA
by: Ney, Jonas, et al.
Published: (2024)

Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical Communications
by: Ney, Jonas, et al.
Published: (2024)

Fully-blind Neural Network Based Equalization for Severe Nonlinear Distortions in 112 Gbit/s Passive Optical Networks
by: Lauinger, Vincent, et al.
Published: (2024)

Recent Advances on Machine Learning-aided DSP for Short-reach and Long-haul Optical Communications
by: Schmalen, Laurent, et al.
Published: (2024)

Efficient FPGA Implementation of an Optimized SNN-based DFE for Optical Communications
by: Moursi, Mohamed, et al.
Published: (2024)

Smart Environmental Monitoring of Marine Pollution using Edge AI
by: Moursi, Mohamed, et al.
Published: (2025)

In-Process Monitoring of Gear Power Honing Using Vibration Signal Analysis and Machine Learning
by: Capurso, Massimo, et al.
Published: (2025)

Towards a Universal Vibration Analysis Dataset: A Framework for Transfer Learning in Predictive Maintenance and Structural Health Monitoring
by: Sehri, Mert, et al.
Published: (2025)

Using In-Service Train Vibration for Detecting Railway Maintenance Needs
by: Alisjahbana, Irene
Published: (2024)

MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification
by: Goerttler, Stephan, et al.
Published: (2025)

Early Exiting U-Net for Efficient Processing on UAVs: A Case Study in Environmental Monitoring
by: Boni, Luca Sartori, et al.
Published: (2026)

FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks
by: Xiao, Bingnan, et al.
Published: (2024)

Machine Learning for Pre/Post Flight UAV Rotor Defect Detection Using Vibration Analysis
by: Gemayel, Alexandre, et al.
Published: (2024)

CNN-based Compressor Mass Flow Estimator in Industrial Aircraft Vapor Cycle System
by: Reverdi, Justin, et al.
Published: (2024)

Low-Complexity CNN-Based Classification of Electroneurographic Signals
by: Gokdag, Arek Berc, et al.
Published: (2025)

Doppler Invariant CNN for Signal Classification
by: Bagchi, Avi, et al.
Published: (2025)

Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering
by: Schneider, Dominic, et al.
Published: (2024)

Hybrid Unsupervised Learning Strategy for Monitoring Industrial Batch Processes
by: Frey, Christian W.
Published: (2024)

A Hybrid Intelligent Framework for Uncertainty-Aware Condition Monitoring of Industrial Systems
by: Ahang, Maryam, et al.
Published: (2026)

A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization
by: Hoang, Minh Tu, et al.
Published: (2020)

On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study
by: Kimura, Tomoyoshi, et al.
Published: (2024)

Integrative Deep Learning Framework for Parkinson's Disease Early Detection using Gait Cycle Data Measured by Wearable Sensors: A CNN-GRU-GNN Approach
by: Rashnu, Alireza, et al.
Published: (2024)

Explainable AI Using Inherently Interpretable Components for Wearable-based Health Monitoring
by: Kuschel, Maurice, et al.
Published: (2026)

Unsupervised Multimodal Fusion of In-process Sensor Data for Advanced Manufacturing Process Monitoring
by: McKinney, Matthew, et al.
Published: (2024)

Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU
by: Kazemi, Kianoosh, et al.
Published: (2024)

Fusing Global and Local: Transformer-CNN Synergy for Next-Gen Current Estimation
by: Huang, Junlang, et al.
Published: (2025)

Evolutionary Optimization of 1D-CNN for Non-contact Respiration Pattern Classification
by: Islam, Md Zobaer, et al.
Published: (2023)

Low-power, Energy-efficient, Cardiologist-level Atrial Fibrillation Detection for Wearable Devices
by: Loroch, Dominik, et al.
Published: (2025)

Transfer Learning for Tonal Noise Prediction in VRF Units Using Thermodynamic and Vibration Signals
by: Su, ZhiWei, et al.
Published: (2026)

A CNN-BiLSTM Model with Attention Mechanism for Earthquake Prediction
by: Kavianpour, Parisa, et al.
Published: (2021)

MobiVital: Self-supervised Time-series Quality Estimation for Contactless Respiration Monitoring Using UWB Radar
by: Wang, Ziqi, et al.
Published: (2025)

Can Transformers Predict Vibrations?
by: Kuniyoshi, Fusataka, et al.
Published: (2024)

Aircraft Radar Altimeter Interference Mitigation Through a CNN-Layer Only Denoising Autoencoder Architecture
by: Brown, Samuel B., et al.
Published: (2024)

Bluetooth Low Energy Dataset Using In-Phase and Quadrature Samples for Indoor Localization
by: Leitch, Samuel G., et al.
Published: (2024)

Lightweight Industrial Cohorted Federated Learning for Heterogeneous Assets
by: Amarlingam, Madapu, et al.
Published: (2024)

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)

Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models
by: Bogdoll, Daniel, et al.
Published: (2021)

EEG-Based Inter-Patient Epileptic Seizure Detection Combining Domain Adversarial Training with CNN-BiLSTM Network
by: Tazaki, Rina, et al.
Published: (2025)

Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation
by: Yi, Haiming, et al.
Published: (2023)