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An outline of Prognostics and health management Large Model: Concepts, Paradigms, and challenges
MSSP 2025 -
A Survey on Potentials, Pathways, and Challenges of Large Language Models in New-Generation Intelligent Manufacturing
RCIM 2025 -
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey
JIM 2025
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Empowering ChatGPT-Like Large-Scale Language Models with Local Knowledge Base for Industrial Prognostics and Health Management
Arixv 2024 -
An Outline of Prognostics and Health Management Large Model: Concepts, Paradigms, and Challenges
Arixv 2024 -
Survey on Foundation Models for Prognostics and Health Management in Industrial Cyber-Physical Systems
TICPS 2024 -
Generative Artificial Intelligence and Data Augmentation for Prognostic and Health Management: Taxonomy, Progress, and Prospects
ESWA 2024
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ChatGPT-Like Large-Scale Foundation Models for Prognostics and Health Management: A Survey and Roadmaps
RESS 2023 -
Industrial-Generative Pre-Trained Transformer for Intelligent Manufacturing Systems
IET CIM 2023 -
How Can Large Language Models Help Humans in Design and Manufacturing?
Arixv 2023
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Evaluating the Performance of ChatGPT in the Automation of Maintenance Recommendations for Prognostics and Health Management
Conference 2024 -
Multimodal Large Language Model-Based Fault Detection and Diagnosis in the Context of Industry 4.0
Preprint 2024 -
SAFELLM: Domain-Specific Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance
Arixv 2024 -
Empirical Study on Fine-Tuning Pre-Trained Large Language Models for Fault Diagnosis of Complex Systems
RESS 2024
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面向旋转机械装备的智能故障诊断通用基础模型研究
西安交通大学学报 2025 -
面向机械设备通用健康管理的智能运维大模型
机械工程学报 2025 -
LLM-TSFD: An industrial time series human-in-the-loop fault diagnosis method based on a large language model
ESWA 2025 -
Channel attention residual transfer learning with LLM fine-tuning for few-shot fault diagnosis in autonomous underwater vehicle propellers
OE 2025 -
UniFault: A Fault Diagnosis Foundation Model from Bearing Data
Arixv 2024 -
Pre-Trained Large Language Model Based Remaining Useful Life Transfer Prediction of Bearing
Arixv 2025 -
LLM-R: A Framework for Domain-Adaptive Maintenance Scheme Generation Combining Hierarchical Agents and RAG
Arixv 2025 -
Intelligent Fault Diagnosis for CNC Through the Integration of Large Language Models and Domain Knowledge Graphs
Engineering 2025 -
The interpretable reasoning and intelligent decision-making based on event knowledge graph with LLMs in fault diagnosis scenarios
TIM 2025 -
Running Gear Global Composite Fault Diagnosis Based on Large Model
TII 2025 -
A knowledge-graph enhanced large language model-based fault diagnostic reasoning and maintenance decision support pipeline towards industry 5.0
IJPR 2025Datasets: cranes
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FD-LLM: Large language model for fault diagnosis of complex equipment
AEI 2025Datasets: CWRU, aero-engine, rock drilling rig
Hardware: RTX_4090
Key method: LORA -
FaultGPT: Industrial Fault Diagnosis Question Answering System by Vision Language Models
Arixv 2025Datasets: CWRU, the SCUT-FD and Ottawa bearing dataset
Hardware: RTX_4090 -
LLM-Based Framework for Bearing Fault Diagnosis
MSSP 2025 -
Multi-Large Language Model Collaboration Framework for Few-Shot Link Prediction in Evolutionary Fault Diagnosis Event Graphs
JPC 2025 -
Domain-Specific Large Language Models for Fault Diagnosis of Heating, Ventilation, and Air Conditioning Systems by Labeled-Data-Supervised Fine-Tuning
AE 2025 -
Large Language Model Assisted Fine-Grained Knowledge Graph Construction for Robotic Fault Diagnosis
AEI 2025
-BearingFM Towards a foundation model for bearing fault diagnosis by domain knowledge and contrastive learning IJPE 2024
-Diff-MTS: Temporal-Augmented Conditional Diffusion-Based AIGC for Industrial Time Series Toward the Large Model Era ToC 2024
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Empowering Digital Twins with Large Language Models for Global Temporal Feature Learning
JMS 2024 -
CausalKGPT: Industrial Structure Causal Knowledge-Enhanced Large Language Model for Cause Analysis of Quality Problems in Aerospace Product Manufacturing
AEI 2024 -
Foundational Models for Fault Diagnosis of Electrical Motors
Preprint 2024 -
BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation
Arixv 2024 -
Remaining Useful Life Prediction: A Study on Multidimensional Industrial Signal Processing and Efficient Transfer Learning Based on Large Language Models
Arixv 2024 -
Advancing Multimodal Diagnostics: Integrating Industrial Textual Data and Domain Knowledge with Large Language Models
ESWA 2024 -
BearingFM: Towards a Foundation Model for Bearing Fault Diagnosis by Domain Knowledge and Contrastive Learning
IJPE 2024 -
Joint Knowledge Graph and Large Language Model for Fault Diagnosis and Its Application in Aviation Assembly
TII 2024 -
Large Model for Rotating Machine Fault Diagnosis Based on a Dense Connection Network with Depthwise Separable Convolution
TIM 2024 -
GPT-Based Equipment Remaining Useful Life Prediction
Conference 2024 -
Empirical Study on Fine-Tuning Pre-Trained Large Language Models for Fault Diagnosis of Complex Systems
RESS 2024 -
LLM-Based Framework for Bearing Fault Diagnosis
MSSP 2024 -
Domain-Specific Large Language Models for Fault Diagnosis of Heating, Ventilation, and Air Conditioning Systems by Labeled-Data-Supervised Fine-Tuning
Applied Energy 2024 -
Blockchain-Enabled Large Language Models for Prognostics and Health Management Framework in Industrial Internet of Things
Conference 2024
- Brain-like Cognition-Driven Model Factory for IIoT Fault Diagnosis by Combining LLMs with Small Models
IOT 2024
For more information, please refer to this repository.