Smart Asset Management for Electric Utilities: Big Data and Future

Swasti R. Khuntia; Jose L. Rueda; Mart A.M.M. van der Meijden

doi:10.1007/978-3-319-95711-1_31

Smart Asset Management for Electric Utilities: Big Data and Future

Swasti R. Khuntia, Jose L. Rueda, Mart A.M.M. van der Meijden

Intelligent Electrical Power Grids

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

8 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Asset Intelligence through Integration and Interoperability and Interoperability and Contemporary Vibration Engineering Technologies
Subtitle of host publication	Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery
Editors	Joseph Mathew, C.W. Lim, Lin Ma, Don Sands, Michael E. Cholette, Pietro Borghesani
Place of Publication	Cham
Publisher	Springer
Pages	311-322
Number of pages	12
ISBN (Electronic)	978-3-319-95711-1
ISBN (Print)	978-3-319-95710-4
DOIs	https://doi.org/10.1007/978-3-319-95711-1_31
Publication status	Published - 2019

Publication series

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

Keywords

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

Access to Document

10.1007/978-3-319-95711-1_31

Cite this

Khuntia, S. R., Rueda, J. L., & van der Meijden, M. A. M. M. (2019). Smart Asset Management for Electric Utilities: Big Data and Future. In J. Mathew, C. W. Lim, L. Ma, D. Sands, M. E. Cholette, & P. Borghesani (Eds.), Asset Intelligence through Integration and Interoperability and Interoperability and Contemporary Vibration Engineering Technologies: Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery (pp. 311-322). (Lecture Notes in Mechanical Engineering). Springer. https://doi.org/10.1007/978-3-319-95711-1_31

Khuntia, Swasti R. ; Rueda, Jose L. ; van der Meijden, Mart A.M.M. / Smart Asset Management for Electric Utilities : Big Data and Future. Asset Intelligence through Integration and Interoperability and Interoperability and Contemporary Vibration Engineering Technologies: Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery. editor / Joseph Mathew ; C.W. Lim ; Lin Ma ; Don Sands ; Michael E. Cholette ; Pietro Borghesani. Cham : Springer, 2019. pp. 311-322 (Lecture Notes in Mechanical Engineering).

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author = "Khuntia, {Swasti R.} and Rueda, {Jose L.} and {van der Meijden}, {Mart A.M.M.}",

year = "2019",

doi = "10.1007/978-3-319-95711-1_31",

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Khuntia, SR, Rueda, JL & van der Meijden, MAMM 2019, Smart Asset Management for Electric Utilities: Big Data and Future. in J Mathew, CW Lim, L Ma, D Sands, ME Cholette & P Borghesani (eds), Asset Intelligence through Integration and Interoperability and Interoperability and Contemporary Vibration Engineering Technologies: Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery. Lecture Notes in Mechanical Engineering, Springer, Cham, pp. 311-322. https://doi.org/10.1007/978-3-319-95711-1_31

Smart Asset Management for Electric Utilities: Big Data and Future. / Khuntia, Swasti R.; Rueda, Jose L.; van der Meijden, Mart A.M.M.
Asset Intelligence through Integration and Interoperability and Interoperability and Contemporary Vibration Engineering Technologies: Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery. ed. / Joseph Mathew; C.W. Lim; Lin Ma; Don Sands; Michael E. Cholette; Pietro Borghesani. Cham: Springer, 2019. p. 311-322 (Lecture Notes in Mechanical Engineering).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AB - 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.

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Khuntia SR, Rueda JL , van der Meijden MAMM. Smart Asset Management for Electric Utilities: Big Data and Future. In Mathew J, Lim CW, Ma L, Sands D, Cholette ME, Borghesani P, editors, Asset Intelligence through Integration and Interoperability and Interoperability and Contemporary Vibration Engineering Technologies: Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery. Cham: Springer. 2019. p. 311-322. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-3-319-95711-1_31

Smart Asset Management for Electric Utilities: Big Data and Future

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