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From predictive maintenance to prescriptive: A survey of Retrieval-Augmented Generation-Driven Systems for End-to-End Maintenance Decision-Making

https://doi.org/10.2139/ssrn.7180409
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A Digital Twin Design for Conveyor Belts Predictive Maintenance
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Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
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Machine learning techniques applied to mechanical fault diagnosis and fault prognosis in the context of real industrial manufacturing use-cases: a systematic literature review
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A survey on semi-supervised learning
inferredcites →https://doi.org/10.1007/s43681-021-00132-6openalex-snapshot
Artificial intelligence and real-time predictive maintenance in industry 4.0: a bibliometric analysis
inferredcites →https://doi.org/10.1016/j.cie.2019.106024openalex-snapshot
A systematic literature review of machine learning methods applied to predictive maintenance
inferredcites →https://doi.org/10.1016/j.cie.2025.111193openalex-snapshot
A Literature Review Framework and Open Research Challenges for Predictive Maintenance in industry 4.0
inferredcites →https://doi.org/10.1016/j.cirp.2016.06.006openalex-snapshot
Continuous maintenance and the future – Foundations and technological challenges
inferredcites →https://doi.org/10.1016/j.cirp.2017.04.007openalex-snapshot
A procedural approach for realizing prescriptive maintenance planning in manufacturing industries
inferredcites →https://doi.org/10.1016/j.compind.2020.103298openalex-snapshot
Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges
inferredcites →https://doi.org/10.1016/j.future.2018.02.049openalex-snapshot
Self-evolving intelligent algorithms for facilitating data interoperability in IoT environments
inferredcites →https://doi.org/10.1016/j.ifacol.2023.10.642openalex-snapshot
A Data-driven Survival Modelling Approach for Predictive Maintenance of Battery Electric Trucks
inferredcites →https://doi.org/10.1016/j.ijpe.2023.108798openalex-snapshot
Optimizing the preventive maintenance frequency with causal machine learning
inferredcites →https://doi.org/10.1016/j.ject.2023.08.001openalex-snapshot
A study on ChatGPT for Industry 4.0: Background, potentials, challenges, and eventualities
inferredcites →https://doi.org/10.1016/j.jmsy.2022.05.010openalex-snapshot
Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods
inferredcites →https://doi.org/10.1016/j.procir.2021.11.307openalex-snapshot
A prescriptive maintenance system for intelligent production planning and control in a smart cyber-physical production line
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Predictive Maintenance and Smart Sensors Aiming Sustainability: A Perspective From a Bibliometric Analysis
inferredcites →https://doi.org/10.1016/j.promfg.2020.10.198openalex-snapshot
TPM implementation and maintenance strategic plan – a case study
inferredcites →https://doi.org/10.1016/j.rcim.2025.103034openalex-snapshot
Machine learning and deep learning applications in the automotive manufacturing industry: A systematic literature review and industry insights
inferredcites →https://doi.org/10.1016/j.ress.2021.107864openalex-snapshot
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry
inferredcites →https://doi.org/10.1016/j.ymssp.2013.06.004openalex-snapshot
Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications
inferredcites →https://doi.org/10.1016/s0377-2217(01)00197-7openalex-snapshot
A survey of maintenance policies of deteriorating systems
inferredcites →https://doi.org/10.1038/s41598-024-59958-9openalex-snapshot
Strategies for overcoming data scarcity, imbalance, and feature selection challenges in machine learning models for predictive maintenance
inferredcites →https://doi.org/10.1080/0951192x.2019.1571236openalex-snapshot
PriMa: a prescriptive maintenance model for cyber-physical production systems
inferredcites →https://doi.org/10.1088/1757-899x/495/1/012067openalex-snapshot
Predictive Maintenance of Oil and Gas Equipment using Recurrent Neural Network
inferredcites →https://doi.org/10.1109/bigdata62323.2024.10826046openalex-snapshot
Knowledge Management for Automobile Failure Analysis Using Graph RAG
inferredcites →https://doi.org/10.1109/jsyst.2019.2905565openalex-snapshot
Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey
inferredcites →https://doi.org/10.1145/2523813openalex-snapshot
A survey on concept drift adaptation
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"Why Should I Trust You?"
inferredcites →https://doi.org/10.1145/3637528.3671470openalex-snapshot
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
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A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
inferredcites →https://doi.org/10.1162/coli.a.16openalex-snapshot
🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models
inferredcites →https://doi.org/10.14445/23488360/ijme-v8i5p102openalex-snapshot
The Importance of Equipment Maintenance Forecasting
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.557openalex-snapshot
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
inferredcites →https://doi.org/10.18653/v1/2024.emnlp-industry.56openalex-snapshot
RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance
inferredcites →https://doi.org/10.18653/v1/2024.emnlp-industry.61openalex-snapshot
Intelligent Predictive Maintenance RAG framework for Power Plants: Enhancing QA with StyleDFS and Domain Specific Instruction Tuning
inferredcites →https://doi.org/10.18653/v1/2024.emnlp-main.347openalex-snapshot
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation
inferredcites →https://doi.org/10.18653/v1/2024.kallm-1.8openalex-snapshot
Ontology-guided Knowledge Graph Construction from Maintenance Short Texts
inferredcites →https://doi.org/10.2478/mape-2019-0013openalex-snapshot
General overview of maintenance strategies – concepts and approaches
inferredcites →https://doi.org/10.24867/ijiem-2020-3-264openalex-snapshot
Implementing a maintenance strategic plan using TPM methodology
inferredcites →https://doi.org/10.2514/1.j060131openalex-snapshot
Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning
inferredcites →https://doi.org/10.30574/wjarr.2023.20.3.2432openalex-snapshot
Advancements in predictive maintenance in the oil and gas industry: A review of AI and data science applications
inferredcites →https://doi.org/10.3389/frai.2024.1293084openalex-snapshot
Knowledge sharing in manufacturing using LLM-powered tools: user study and model benchmarking
inferredcites →https://doi.org/10.3390/analytics3040028openalex-snapshot
Advancements in Predictive Maintenance: A Bibliometric Review of Diagnostic Models Using Machine Learning Techniques
inferredcites →https://doi.org/10.3390/app11010018openalex-snapshot
Application of Predictive Maintenance Concepts Using Artificial Intelligence Tools
inferredcites →https://doi.org/10.3390/app11188550openalex-snapshot
Multi-Criteria Decision Making Model for Application Maintenance Offshoring Using Analytic Hierarchy Process
inferredcites →https://doi.org/10.3390/app14020898openalex-snapshot
Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends
inferredcites →https://doi.org/10.3390/electronics14020386openalex-snapshot
Using the Retrieval-Augmented Generation to Improve the Question-Answering System in Human Health Risk Assessment: The Development and Application
inferredcites →https://doi.org/10.3390/fi15050153openalex-snapshot
Machine Failure Prediction Using Survival Analysis
inferredcites →https://doi.org/10.3390/make6010013openalex-snapshot
A Text-Based Predictive Maintenance Approach for Facility Management Requests Utilizing Association Rule Mining and Large Language Models
inferredcites →https://doi.org/10.3390/s20010109openalex-snapshot
Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects
inferredcites →https://doi.org/10.36001/phme.2024.v8i1.4114openalex-snapshot
From Prediction to Prescription: Large Language Model Agent for Context-Aware Maintenance Decision Support
inferredcites →https://doi.org/10.4271/9780768094275openalex-snapshot
Aerospace Predictive Maintenance
inferredcites →https://doi.org/10.46254/eu07.20240085openalex-snapshot
Integration of Large Language Models for Real-Time Troubleshooting in Industrial Environments based on Retrieval-Augmented Generation (RAG)
inferredcites →https://doi.org/10.51594/estj.v4i2.1286openalex-snapshot
SOLAR ENERGY FORECASTING WITH DEEP LEARNING TECHNIQUE
inferredcites →https://doi.org/10.53430/ijeru.2023.5.1.0017openalex-snapshot
Machine learning applications in predictive maintenance: Enhancing efficiency across the oil and gas industry
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