Maintenance Analytics: The New Know in Maintenance
Number of Authors: 4
2016 (English)In: IFAC-PapersOnLine, ISSN 2405-8963, Vol. 49, no 28, 214-219 p.Article in journal (Refereed) Published
Decision-making in maintenance has to be augmented to instantly understand and efficiently act, i.e. the new know. The new know in maintenance needs to focus on two aspects of knowing: 1) what can be known and 2) what must be known, in order to enable the maintenance decision-makers to take appropriate actions. Hence, the purpose of this paper is to propose a concept for knowledge discovery in maintenance with focus on Big Data and analytics. The concept is called Maintenance Analytics (MA). MA focuses in the new knowledge discovery in maintenance. MA addresses the process of discovery, understanding, and communication of maintenance data from four time-related perspectives, i.e. 1) “Maintenance Descriptive Analytics (monitoring)”; 2) “Maintenance Diagnostic Analytics”; 3) “Maintenance Predictive Analytics”; and 4) “Maintenance Prescriptive analytics”.
Place, publisher, year, edition, pages
2016. Vol. 49, no 28, 214-219 p.
Other Civil Engineering
Research subject Operation and Maintenance
IdentifiersURN: urn:nbn:se:ltu:diva-35778DOI: 10.1016/j.ifacol.2016.11.037ScopusID: 2-s2.0-85006409831Local ID: a729f962-6eef-4c50-b419-f949d1c91a6bOAI: oai:DiVA.org:ltu-35778DiVA: diva2:1009032
IFAC Workshop on Advanced Maintenance Engineering, Service and Technology : 19/10/2016 - 21/10/2016
Konferensartikel i tidskrift 2016-12-19 (andbra)2016-09-302016-09-302017-01-09Bibliographically approved