Cover Image

PEFT-MuTS: A Multivariate Parameter-Efficient Fine-Tuning Framework for Remaining Useful Life Prediction based on Cross-domain Time Series Representation Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fu, En, Hu, Yanyan, Hu, Changhua, Jin, Zengwang, Peng, Kaixiang
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Prediction
by: Fu, En, et al.
Published: (2024)

TS-PEFT: Unveiling Token-Level Redundancy in Parameter-Efficient Fine-Tuning
by: Ma, Dabiao, et al.
Published: (2025)

Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning
by: Fu, En, et al.
Published: (2024)

Remaining Useful Life Prediction in an Aerospace Engine: A Multivariable Fuzzy Time Series Classification Approach
by: Luiz Rogério de Freitas Júnior, et al.
Published: (2026)

Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression under Indirect Supervision
by: Cheng, Jiaxiang, et al.
Published: (2025)

Optimal design and performance analysis of secure estimator for cyber‐physical systems against deception attacks
by: Zhichen Han, et al.
Published: (2024)

Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
by: Gu, Naibin, et al.
Published: (2024)

ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning
by: Li, Xianming, et al.
Published: (2026)

MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
by: Yoshimura, Masakazu, et al.
Published: (2024)

PEFT-U: Parameter-Efficient Fine-Tuning for User Personalization
by: Clarke, Christopher, et al.
Published: (2024)

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark
by: Belanec, Robert, et al.
Published: (2025)

AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning
by: Zhou, Han, et al.
Published: (2023)

CryptPEFT: Efficient and Private Neural Network Inference via Parameter-Efficient Fine-Tuning
by: Xia, Saisai, et al.
Published: (2025)

Automated Machine Learning for Remaining Useful Life Predictions
by: Zöller, Marc-André, et al.
Published: (2023)

PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning
by: Li, Shenghui, et al.
Published: (2024)

PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models
by: Belanec, Robert, et al.
Published: (2025)

Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
by: Tang, Yiwen, et al.
Published: (2023)

Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
by: Wang, Jifeng, et al.
Published: (2024)

Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions
by: Furqon, Muhammad Tanzil, et al.
Published: (2024)

Remaining Useful Life Prediction for Aircraft Engines using LSTM
by: Peringal, Anees, et al.
Published: (2024)

X-PEFT: eXtremely Parameter-Efficient Fine-Tuning for Extreme Multi-Profile Scenarios
by: Kwak, Namju, et al.
Published: (2024)

Target-specific Adaptation and Consistent Degradation Alignment for Cross-Domain Remaining Useful Life Prediction
by: Hou, Yubo, et al.
Published: (2025)

A Dual‐Channel Approach Integrating Multisensory Data for Remaining Useful Life Prediction of Induction Motors
by: Amrit Dahal, et al.
Published: (2026)

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models
by: Prottasha, Nusrat Jahan, et al.
Published: (2025)

CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning
by: Wei, Quanmin, et al.
Published: (2025)

Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
by: Mai, Zheda, et al.
Published: (2024)

Remaining Useful Life Prediction for Aircraft Maintenance Using Machine Learning
by: Sana Abbes, et al.
Published: (2026)

Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction
by: Wen, Zhihao, et al.
Published: (2024)

Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation
by: Hou, Yubo, et al.
Published: (2026)

Remaining Useful Life Prediction for Exciter Rolling Bearing Based on Self‐Attentive CNN–GRU
by: Xiaoming Han, et al.
Published: (2025)

Predictive Maintenance Strategies for Aero‐Engines Considering Remaining Useful Life Prediction Interval
by: Zhengbo Zhu, et al.
Published: (2025)

Multi-Channel Swin Transformer Framework for Bearing Remaining Useful Life Prediction
by: Mohajerzarrinkelk, Ali, et al.
Published: (2025)

Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction
by: Huang, Zhixin, et al.
Published: (2024)

Scientific Machine Learning for Engine Health Management and Remaining Useful Life Prediction
by: Barry-Straume, Jostein, et al.
Published: (2026)

Predicting Remaining Useful Life and Optimizing Preventive Maintenance for Multistage Manufacturing Processes
by: Young‐Suk Choo, et al.
Published: (2025)

Echo-LoRA: Parameter-Efficient Fine-Tuning via Cross-Layer Representation Injection
by: Peng, Yihang, et al.
Published: (2026)

PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs
by: Yu, Tongzhou, et al.
Published: (2025)

GLT-PEFT: Gated Lie-Tucker Parameter-Efficient Fine-Tuning for Alzheimer's Disease Diagnosis with Hippocampal Segmentation Pretraining
by: He, Guanghua, et al.
Published: (2026)

Physics‐Guided Swin‐KAN Transformer and Three‐Channel Log‐Energy Representation for Remaining Useful Life Prediction of Bearings
by: Ibrokhimjon Karimjonov, et al.
Published: (2026)

Fault Prognosis of Turbofan Engines: Eventual Failure Prediction and Remaining Useful Life Estimation
by: Cohen, Joseph, et al.
Published: (2023)