# MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources

arXiv: https://arxiv.org/abs/2005.12443 · HTML: https://mlsanity.com/paper/2005.12443/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 May 2020.

## Built on by (most cited first, 8 of 8)

- [Predictive Maintenance for General Aviation Using Convolutional Transformers](https://mlsanity.com/paper/2110.03757/) (2021)
- [A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID](https://mlsanity.com/paper/2210.07317/) (2022)
- [Trusted Knowledge Extraction for Operations and Maintenance Intelligence](https://mlsanity.com/paper/2507.22935/) (2025)
- [KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance](https://mlsanity.com/paper/2510.05524/) (2025)
- [Unsupervised Text Mining of COVID-19 Records](https://mlsanity.com/paper/2110.07357/) (2021)
- [Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry](https://mlsanity.com/paper/2510.04631/) (2025)
- [The record is part of the task: matched-record evaluation of text classifiers across maintenance, safety and recall reporting](https://mlsanity.com/paper/2609.16267/) (2026)
- [ARID: A Deployable Edge AI System for Structured Information Extraction from Industrial Maintenance Work Orders](https://mlsanity.com/paper/2609.23582/) (2026)

## 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.