M aint N et: A Collaborative Open-Source Library for Predictive Maintenance Language Resources (2020)

Abstract: Maintenance record logbooks are an emerging text type in NLP. An important part of them typically consist of free text with many domain specific technical terms, abbreviations, and non-standard spelling and grammar. This poses difficulties for 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 improve operational efficiency, reduce costs, 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 resources. MaintNet provides novel logbook data from the aviation, automotive, and facility maintenance 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.

## introduction with the rapid development of information technologies, engineering systems are generating increasing amounts of data that are used by various industries to improve their products. maintenance records are one such type of data. they typically consist of event logbooks which are collected in many domains such as aviation, transportation, and healthcare @xcite . the analysis of maintenance records is particularly important in the development of predictive maintenance systems, which can be used to prevent accidents and reduce maintenance costs @xcite . maintenance record datasets generally contain free text fields describing issues (or problems) written in non-standard language with many abbreviations and domain specific terms, as in the instances presented in the main contributions of this paper are the following: ## conclusions and future work in this paper we presented maintnet, a collaborative open-source library for predictive maintenance language resources. maintnet provides raw technical logbook data as well as several language resources such as abbreviation lists, morphosyntactic information lists, and termbanks from the aviation, automotive and facilities domains. tools developed in python are also made available for pre-processing, such as spell checking, pos tagging, and document clustering. in addition to these tools, the collaborative aspects of maintnet should be emphasized. we welcome the community to contribute with new datasets that can be processed using the tools available at maintnet, or share new and improved tools developed with maintnet's open source data. maintnet is also expanding as current work involves processing data from additional domains such as healthcare and power systems (e.g., wind turbines). these datasets will be made available on maintnet in upcoming months. we also aim to collect and release datasets and tools for languages other than english in the near future.