MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources
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Abstract (arXiv)
Maintenance record logbooks are an emerging text type in NLP. They typically consist of free text documents with many domain specific technical terms, abbreviations, as well as non-standard spelling and grammar, which poses difficulties to NLP pipelines trained on standard corpora. Analyzing and annotating such documents is of particular importance in the development of predictive maintenance systems, which aim to provide operational efficiencies, prevent accidents and save lives. In order to facilitate and encourage research in this area, we have developed MaintNet, a collaborative open-source library of technical and domain-specific language datasets. MaintNet provides novel logbook data from the aviation, automotive, and facilities domains along with tools to aid in their (pre-)processing and clustering. Furthermore, it provides a way to encourage discussion on and sharing of new datasets and tools for logbook data analysis.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 May 2020.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 0; 2024: 0; 2025: 3; 2026: 2.
8 papers.
- 2021Predictive Maintenance for General Aviation Using Convolutional Transformerscited by 6
- 2022A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFIDcited by 2
- 2025Trusted Knowledge Extraction for Operations and Maintenance Intelligencecited by 2
- 2025KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenancecited by 1
- 2021Unsupervised Text Mining of COVID-19 Recordscited by 0
- 2025Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industrycited by 0
- 2026The record is part of the task: matched-record evaluation of text classifiers across maintenance, safety and recall reportingcited by 0
- 2026ARID: A Deployable Edge AI System for Structured Information Extraction from Industrial Maintenance Work Orderscited by 0
- 2026ARID: A Deployable Edge AI System for Structured Information Extraction from Industrial Maintenance Work Orders20 Sep 2026
- 2026The record is part of the task: matched-record evaluation of text classifiers across maintenance, safety and recall reporting14 Sep 2026
- 2025KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance7 Oct 2025
- 2025Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry6 Oct 2025
- 2025Trusted Knowledge Extraction for Operations and Maintenance Intelligence24 Jul 2025
- 2022A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID13 Oct 2022
- 2021Predictive Maintenance for General Aviation Using Convolutional Transformers7 Oct 2021
- 2021Unsupervised Text Mining of COVID-19 Records8 Sep 2021