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An outline of Prognostics and health management Large Model: Concepts, Paradigms, and challenges [MSSP 2025]
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A Survey on Potentials, Pathways, and Challenges of Large Language Models in New-Generation Intelligent Manufacturing [RCIM 2025]
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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]
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An Outline of Prognostics and Health Management Large Model: Concepts, Paradigms, and Challenges [Arixv 2024]
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Survey on Foundation Models for Prognostics and Health Management in Industrial Cyber-Physical Systems [TICPS 2024]
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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]
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Industrial-Generative Pre-Trained Transformer for Intelligent Manufacturing Systems [IET CIM 2023]
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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]
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Multimodal Large Language Model-Based Fault Detection and Diagnosis in the Context of Industry 4.0 [Preprint 2024]
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SAFELLM: Domain-Specific Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance [Arixv 2024]
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Empirical Study on Fine-Tuning Pre-Trained Large Language Models for Fault Diagnosis of Complex Systems [RESS 2024]
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AeroGPT: Leveraging Large-Scale Audio Model for Aero-Engine Bearing Fault Diagnosis [Arixv 2025]
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Adjust to reality: LLM-driven test-time semantic adjustment for zero-shot fault diagnosis [CEP 2025]
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Industrial Large-Scale Diagnostic Model with Lightweight Customized Deployment for Distributed Multiple Non-IID Diagnostic Tasks [IEEE Sensor 2025]
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DiagLLM: multimodal reasoning with large language model for explainable bearing fault diagnosis [SCIS 2025]
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Graph Structure-Enhanced Large Language Model for Optical Network Fault Diagnosis: An Explainable Alarm Root Cause Localization Approach [IoT 2025]
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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]
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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]
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LLM-TSFD: An industrial time series human-in-the-loop fault diagnosis method based on a large language model [ESWA 2025]
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Channel attention residual transfer learning with LLM fine-tuning for few-shot fault diagnosis in autonomous underwater vehicle propellers [OE 2025]
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UniFault: A Fault Diagnosis Foundation Model from Bearing Data [Arixv 2025]
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Pre-Trained Large Language Model Based Remaining Useful Life Transfer Prediction of Bearing [Arixv 2025]
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LLM-R: A Framework for Domain-Adaptive Maintenance Scheme Generation Combining Hierarchical Agents and RAG [Arixv 2025]
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Intelligent Fault Diagnosis for CNC Through the Integration of Large Language Models and Domain Knowledge Graphs [Engineering 2025]
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The interpretable reasoning and intelligent decision-making based on event knowledge graph with LLMs in fault diagnosis scenarios [TIM 2025]
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Running Gear Global Composite Fault Diagnosis Based on Large Model [TII 2025]
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A knowledge-graph enhanced large language model-based fault diagnostic reasoning and maintenance decision support pipeline towards industry 5.0 [IJPR 2025]
Datasets: cranes
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FD-LLM: Large language model for fault diagnosis of complex equipment [AEI 2025]
Datasets: CWRU, aero-engine, rock drilling rig Hardware: RTX_4090 Key method: LORA
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FaultGPT: Industrial Fault Diagnosis Question Answering System by Vision Language Models [Arixv 2025]
Datasets: CWRU, the SCUT-FD and Ottawa bearing dataset Hardware: RTX_4090
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LLM-Based Framework for Bearing Fault Diagnosis [MSSP 2025]
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Multi-Large Language Model Collaboration Framework for Few-Shot Link Prediction in Evolutionary Fault Diagnosis Event Graphs [JPC 2025]
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Domain-Specific Large Language Models for Fault Diagnosis of Heating, Ventilation, and Air Conditioning Systems by Labeled-Data-Supervised Fine-Tuning [AE 2025]
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Large Language Model Assisted Fine-Grained Knowledge Graph Construction for Robotic Fault Diagnosis [AEI 2025]
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Empowering Digital Twins with Large Language Models for Global Temporal Feature Learning [JMS 2024]
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CausalKGPT: Industrial Structure Causal Knowledge-Enhanced Large Language Model for Cause Analysis of Quality Problems in Aerospace Product Manufacturing [AEI 2024]
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Foundational Models for Fault Diagnosis of Electrical Motors [Preprint 2024]
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BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation [Arixv 2024]
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Remaining Useful Life Prediction: A Study on Multidimensional Industrial Signal Processing and Efficient Transfer Learning Based on Large Language Models [Arixv 2024]
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Advancing Multimodal Diagnostics: Integrating Industrial Textual Data and Domain Knowledge with Large Language Models [ESWA 2024]
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BearingFM: Towards a Foundation Model for Bearing Fault Diagnosis by Domain Knowledge and Contrastive Learning [IJPE 2024]
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Joint Knowledge Graph and Large Language Model for Fault Diagnosis and Its Application in Aviation Assembly [TII 2024]
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Large Model for Rotating Machine Fault Diagnosis Based on a Dense Connection Network with Depthwise Separable Convolution [TIM 2024]
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GPT-Based Equipment Remaining Useful Life Prediction [Conference 2024]
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Empirical Study on Fine-Tuning Pre-Trained Large Language Models for Fault Diagnosis of Complex Systems [RESS 2024]
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LLM-Based Framework for Bearing Fault Diagnosis [MSSP 2024]
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Domain-Specific Large Language Models for Fault Diagnosis of Heating, Ventilation, and Air Conditioning Systems by Labeled-Data-Supervised Fine-Tuning [Applied Energy 2024]
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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.