RelOps – A Whole-of-Organisation Approach for Reliability Analytics

Research output: Chapter in Book/Conference paperConference paperpeer-review


Reliability analysis on in-service assets uses well-established methods to, for example, determine mean-time-between-failure (MTBF) estimates or identify failure modes. However, the data inputs to these calculations depend on how the raw data from maintenance repair records have been processed. Furthermore, processes to extract and clean raw maintenance data are often ad hoc and performed differently by each engineer. As a result, calculations for asset reliability measures and identification of historical events and failure modes are difficult to replicate. Currently, the process is manual, time-consuming and not scalable. As a solution we present RelOps, a process to achieve standardised, scalable, and efficient end-to-end data handling and processing for organisation-wide reliability analysis. The process is illustrated with a case study showing current practice in MTBF estimation and the opportunities for technical language processing (TLP) to infer MTBF from maintenance work orders raised against a slurry pump.RelOps draws on DevOps and MLOps practices widely used in the software engineering and machine learning communities. The aim of RelOps is to shorten the reliability analysis development lifecycle and provide continuous delivery of quality outputs using a standardised and repeatable process.

Original languageEnglish
Title of host publication16th WCEAM Proceedings, 2022
EditorsAdolfo Crespo Márquez, Juan Francisco Gómez Fernández, Vicente González-Prida Díaz, Joe Amadi-Echendu
PublisherSpringer Science + Business Media
Number of pages11
ISBN (Print)9783031254475
Publication statusPublished - 2023
Event16th World Congress on Engineering Asset Management, WCEAM 2022 - Seville, Spain
Duration: 5 Oct 20227 Oct 2022

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364


Conference16th World Congress on Engineering Asset Management, WCEAM 2022


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