Cover Image

Assesing the Viability of Unsupervised Learning with Autoencoders for Predictive Maintenance in Helicopter Engines

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sánchez, P., Reyes, K., Radu, B., Fernández, E.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Early Fault Detection on CMAPSS with Unsupervised LSTM Autoencoders
by: Sánchez, P., et al.
Published: (2026)

LSTM VS. Feed-Forward Autoencoders for Unsupervised Fault Detection in Hydraulic Pumps
by: Sánchez, P., et al.
Published: (2026)

Using Federated Machine Learning in Predictive Maintenance of Jet Engines
by: Barbosa, Asaph Matheus, et al.
Published: (2025)

Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction
by: Üstek, İrem, et al.
Published: (2024)

Unveiling Multiple Descents in Unsupervised Autoencoders
by: Rahimi, Kobi, et al.
Published: (2024)

Unsupervised Feature Selection via Robust Autoencoder and Adaptive Graph Learning
by: Yu, Feng, et al.
Published: (2025)

Towards Unsupervised Causal Representation Learning via Latent Additive Noise Model Causal Autoencoders
by: Ong, Hans Jarett J., et al.
Published: (2025)

Multimodal Learning for Embryo Viability Prediction in Clinical IVF
by: Kim, Junsik, et al.
Published: (2024)

PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
by: Xie, Tianyu, et al.
Published: (2025)

CL-MAE: Curriculum-Learned Masked Autoencoders
by: Madan, Neelu, et al.
Published: (2023)

Unsupervised Deep Clustering of MNIST with Triplet-Enhanced Convolutional Autoencoders
by: Ansari, Md. Faizul Islam
Published: (2025)

Mode-Aware Non-Linear Tucker Autoencoder for Tensor-based Unsupervised Learning
by: Zheng, Junjing, et al.
Published: (2025)

Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder
by: Zeng, Zezhen, et al.
Published: (2023)

Autoencoded UMAP-Enhanced Clustering for Unsupervised Learning
by: Chavooshi, Malihehsadat, et al.
Published: (2025)

Diffusion-based Planning with Learned Viability Filters
by: Ioannidis, Nicholas, et al.
Published: (2025)

PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training
by: Satheesh, Anirudh, et al.
Published: (2025)

Predictive Maintenance of Electric Motors Using Supervised Learning Models: A Comparative Analysis
by: Baradaran, Amir Hossein
Published: (2025)

Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery
by: Gopalakrishnan, Anand, et al.
Published: (2024)

Multivariate Data Augmentation for Predictive Maintenance using Diffusion
by: Thompson, Andrew, et al.
Published: (2024)

Artificial Intelligence Based Predictive Maintenance for Electric Buses
by: Ercevik, Ayse Irmak, et al.
Published: (2025)

On the Tunability of Random Survival Forests Model for Predictive Maintenance
by: Yardımcı, Yigitcan, et al.
Published: (2025)

Towards an extension of Fault Trees in the Predictive Maintenance Scenario
by: De Fazio, Roberta, et al.
Published: (2024)

Fault Analysis And Predictive Maintenance Of Induction Motor Using Machine Learning
by: Venkatesh, Kavana, et al.
Published: (2024)

Quantization Impact on the Accuracy and Communication Efficiency Trade-off in Federated Learning for Aerospace Predictive Maintenance
by: Loukili, Abdelkarim
Published: (2026)

Short-Horizon Predictive Maintenance of Industrial Pumps Using Time-Series Features and Machine Learning
by: Alghtus, Khaled M. A., et al.
Published: (2025)

Cleaning Maintenance Logs with LLM Agents for Improved Predictive Maintenance
by: Dimidov, Valeriu, et al.
Published: (2025)

Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection
by: Liao, Jing-Xiao, et al.
Published: (2022)

Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders
by: Ludmir, Jason Zev, et al.
Published: (2025)

Unsupervised Atomic Data Mining via Multi-Kernel Graph Autoencoders for Machine Learning Force Fields
by: Sun, Hong, et al.
Published: (2025)

Predictive Maintenance Optimization for Smart Vending Machines Using IoT and Machine Learning
by: Hasan, Md. Nisharul
Published: (2025)

MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning
by: Xu, Yi, et al.
Published: (2025)

Research on Milling Machine Predictive Maintenance Based on Machine Learning and SHAP Analysis in Intelligent Manufacturing Environment
by: Zhao, Wen, et al.
Published: (2025)

Model Compression Engine for Wearable Devices Skin Cancer Diagnosis
by: Delgado-López, Jacob M., et al.
Published: (2025)

Is Supervised Learning Really That Different from Unsupervised?
by: Allerbo, Oskar, et al.
Published: (2025)

MsFormer: Enabling Robust Predictive Maintenance Services for Industrial Devices
by: Zhou, Jiahui, et al.
Published: (2026)

Conformal Load Prediction with Transductive Graph Autoencoders
by: Luo, Rui, et al.
Published: (2024)

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance
by: Vasilache, Alexandru, et al.
Published: (2025)

Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy Regularization
by: Massiani, Pierre-François, et al.
Published: (2025)

Hybrid Quantum-Classical Autoencoders for Unsupervised Network Intrusion Detection
by: Rasyidi, Mohammad Arif, et al.
Published: (2025)

Attention and Autoencoder Hybrid Model for Unsupervised Online Anomaly Detection
by: Najafi, Seyed Amirhossein, et al.
Published: (2024)