Smart Asset Management for Electric Utilities: Big Data and Future

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

5 Citations (Scopus)


This paper discusses about future challenges in terms of big data and new technologies. Utilities have been collecting data in large amounts but they are hardly utilized because they are huge in amount and also there is uncertainty associated with it. Condition monitoring of assets collects large amounts of data during daily operations. The question arises “How to extract information from large chunk of data?” The concept of “rich data and poor information” is being challenged by big data analytics with advent of machine learning techniques. Along with technological advancements like Internet of Things (IoT), big data analytics will play an important role for electric utilities. In this paper, challenges are answered by pathways and guidelines to make the current asset management practices smarter for the future.

Original languageEnglish
Title of host publicationAsset Intelligence through Integration and Interoperability and Interoperability and Contemporary Vibration Engineering Technologies
Subtitle of host publicationProceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery
EditorsJoseph Mathew, C.W. Lim, Lin Ma, Don Sands, Michael E. Cholette, Pietro Borghesani
Place of PublicationCham
Number of pages12
ISBN (Electronic)978-3-319-95711-1
ISBN (Print)978-3-319-95710-4
Publication statusPublished - 2019

Publication series

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


  • Asset management
  • Big Data
  • electric power
  • transmission and distribution
  • Big data analysis


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