Intelligent Decision Support for Maintenance: A New Role for Audit Trails

Chris J. Turner*, Christos Emmanouilidis, Tetsuo Tomiyama, Ashutosh Tiwari, Rajkumar Roy

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


The changing nature of manufacturing, in recent years, is evident in industries willingness to adopt network connected intelligent machines in their factory development plans. While advances in sensors and sensor fusion techniques have been significant in recent years, the possibilities brought by Internet of Things create new challenges in the scale of data and its analysis. The development of audit trail style practice for the collection of data and the provision of comprehensive framework for its processing, analysis and use should be an important goal in addressing the new data analytics challenges for maintenance created by internet connected devices. This paper proposes that further research should be conducted into audit trail collection of maintenance data and the provision of a comprehensive framework for its processing analysis and use. The concept of ‘Human in the loop’ is also reinforced with the use of audit trails, allowing streamlined access to decision making and providing the ability to mine decisions.

Original languageEnglish
Title of host publicationEngineering Assets and Public Infrastructures in the Age of Digitalization
Subtitle of host publicationProceedings of the 13th World Congress on Engineering Asset Management
EditorsJayantha P. Liyanage, Joe Amadi-Echendu, Joseph Mathew
Number of pages8
ISBN (Electronic)978-3-030-48021-9
ISBN (Print)978-3-030-48020-2
Publication statusPublished - 2020
Externally publishedYes
Event13th World Congress on Engineering Asset Management, WCEAM 2018 - Stavanger, Norway
Duration: 24-Sep-201826-Sep-2018

Publication series

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


Conference13th World Congress on Engineering Asset Management, WCEAM 2018

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