- Review/Perspective Papers
- Evaluation Papers
- Research Papers
- Large-Small Model Collaboration
- Time Series LLMs
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A review on large language models for industrial embodied intelligence [AEI 2026]
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Large language models in intelligent manufacturing and mechanical engineering: a review of robotics, fault diagnosis, design, and engineering knowledge workflows [JIM 2026]
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Large language models for PHM: a review of optimization techniques and applications [AIS 2025]
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Large Models for Machine Monitoring and Fault Diagnostics: Opportunities, Challenges, and Future Direction [JDMD 2025]
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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]
- PHM-Bench: A Domain-Specific Benchmarking Framework for Systematic Evaluation of Large Models in Prognostics and Health Management [Arixv 2025]
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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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Digital twin-driven intelligent structural fault diagnosis and decision-making for earth-rock dams using large language models [ES 2026]
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GMPF-LLM: gateless multi-physical fusion large language model for fault diagnosis [ERE 2026]
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Dynamic knowledge graph enhanced large language model with cascade relation extraction optimized for aviation equipment fault diagnosis [EAAI 2026]
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Signal–text fusion multimodal large language model for few-shot fault diagnosis of industrial robots [RCIM 2026]
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ComfortLLM: Compatible Multi-modality Fusion Oriented Large Language Model for Industrial Fault Diagnosis with Diverse Data [IOT 2026]
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An adaptive industrial large language model for mechanical fault diagnosis under variable operating conditions [AEI 2026]
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FM-LLM: A Lightweight Multimodal LLM with Simulation-Augmented Data for Mechanical Fault Diagnosis [CJME 2026]
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EC-Distill-ZeroDiag: a cloud-edge collaborative framework for zero-shot industrial fault diagnosis via large language model distillation[JIM 2026]
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Case-Driven Fault Diagnosis with Advanced Hallucination Mitigation in Large Language Models: A Way Towards Practical Applications[CJME 2026]
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XFD-LVLM: An explainable multimodal framework for aviation hydraulic pump intelligent fault diagnosis with large Vision-Language models[AEI 2026]
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A collaborative approach based on large language model and knowledge graphs for information integration towards smart manufacturing [EAAI 2026]
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Zero-Shot Fault Diagnosis via LLM-Guided Complexity-Aware Fuzzy Boundary Learning [TII 2026]
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Large language model-based fault diagnosis for lithium-ion batteries in cloud-edge systems [CPRS 2026]
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Towards generalizable fault diagnosis via LLM-driven hierarchical cross-modal alignment [KBS 2026]
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Industrial knowledge-enhanced fault diagnosis method: Integrating LLM and knowledge graph for fault reasoning and maintenance recommendation in CNC machine tools [CIE 2026]
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Fault decoupling in hydraulic systems: A large language model-assisted dual-stream multi-task learning approach [Neurocomputing 2026]
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Knowledge-guided multimodal LLM with mixture-of-experts for interpretable defect detection and fault diagnosis: An industrial AI copilot [JMS 2026]
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Knowledge Graph Enhanced Large Language Model Framework for Causal Chain Reasoning in Industrial Fault Diagnosis [ESWA 2026]
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Integrating Large Language Model and Lightweight Network for Robust Multimodal Fault Diagnosis in Wheeled Robots [T-MECH 2026]
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FR-LLM: Multi-task large language model with signal-to-text encoding and adaptive optimization for joint fault diagnosis and RUL prediction [RESS 2025]
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Knowledge graph-driven fault diagnosis for aviation equipment: Integrating improved joint extraction with large language model [JIII 2025]
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Multimodal data-enabled large model for machine fault diagnosis towards intelligent operation and maintenance [JIII 2025]
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Large language model to assist data augmentation in soft contrastive learning for few-shot machinery fault diagnosis [AEI 2025]
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Leveraging BART for Intelligent Fault Diagnosis of Marine Diesel Engines: A Language Model Approach [ERE 2025]
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LMPHM: Fault Inference Diagnosis Based on Causal Network and Large Language Model-Enhanced Knowledge Graph Network [CJME 2025]
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LMulti-head memory large language model for predicting degradation trends of gearbox under non-stationary excitation [Measurement 2025]
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LLM-YOLOMS: Large Language Model-based Semantic Interpretation and Fault Diagnosis for Wind Turbine Components [Arixv 2025]
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PHM–GPT: A Large Language Model for Prognostics and Health Management [Engineering 2025]
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SYN-DIAG: AN LLM-BASED SYNERGISTIC FRAMEWORK FOR GENERALIZABLE FEW-SHOT FAULT DIAGNOSIS ON THE EDGE [Arixv 2025]
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Virtual sample diffusion generation method guided by large language model-generated knowledge for enhancing information completeness and zero-shot fault diagnosis in building thermal systems [Journal of Zhejiang University-SCIENCE A 2025]
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Deep digital twin-powered large vision-language model for multi-scenario industrial fault diagnosis [AEI 2025]
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Large model for fault diagnosis of industrial equipment based on a knowledge graph construction [ASC 2025]
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A new large model with multi-scale feature fusion for fault diagnosis based on unified time series model [ASC 2025]
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Semi-Supervised Prefix Tuning of Large Language Models for Industrial Fault Diagnosis with Big Data [Big Data Mining and Analytics 2025]
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FD-MVLLM: Fault diagnosis based on multimodal vibration data and large language model for bearing system [MSSP 2025]
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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.