Practical Application of Predictive Maintenance - Solving the Challenges

Tiedo Tinga

doi:10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P8303-cd

Practical Application of Predictive Maintenance - Solving the Challenges

Tiedo Tinga

Dynamics Based Maintenance

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

134 Downloads (Pure)

Abstract

Industry is eager to harvest the potential of predictive maintenance (PdM). At the same time, only a fraction of the methods proposed in the past decade is actually applied in practice. This paper will identify the most prominent
barriers for practical application of PdM, which are mainly related to the quality, relevance and availability of data. After that, three solution directions will be presented. The first solution aims to properly match ambition level with the available data and knowledge. The second set of solutions circumvents the lack of data by using physical models in addition to data. The third set of solutions addresses alternative ways of collecting data, including experimental test benches, experiments on fielded systems, and using numerical (simulation) models to generate data. Finally, the required standardized registration of (failure) data will be addressed.

Original language	English
Title of host publication	Proceedings of the 35th European Safety and Reliability Conference & the 33rd Society for Risk Analysis Europe Conference
Editors	Eirik Bjorheim Abrahamsen, Terje Aven, Frederic Bouder, Roger Flage, Marja Ylönen
Place of Publication	Stavanger, Norway
Publisher	Research Publishing Services
Pages	1586-1593
Number of pages	8
ISBN (Electronic)	978-981-94-3281-3
DOIs	https://doi.org/10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P8303-cd
Publication status	Published - Jun 2025
Event	35th European Safety and Reliability Conference, ESREL 2025 - Stavanger, Norway Duration: 15 Jun 2025 → 19 Jun 2025 Conference number: 35

Conference

Conference	35th European Safety and Reliability Conference, ESREL 2025
Abbreviated title	ESREL 2025
Country/Territory	Norway
City	Stavanger
Period	15/06/25 → 19/06/25

Keywords

Predictive maintenance
Hybrid methods
Physics-of-failure
Prognostics
Diagnostics
Data quality

Access to Document

10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P8303-cd

2025_Tinga_ESREL-SRA-E2025-P8303Final published version, 682 KB

Cite this

Tinga, T. (2025). Practical Application of Predictive Maintenance - Solving the Challenges. In E. Bjorheim Abrahamsen, T. Aven, F. Bouder, R. Flage, & M. Ylönen (Eds.), Proceedings of the 35th European Safety and Reliability Conference & the 33rd Society for Risk Analysis Europe Conference (pp. 1586-1593). Article P8303 Research Publishing Services. https://doi.org/10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P8303-cd

Tinga, Tiedo. / Practical Application of Predictive Maintenance - Solving the Challenges. Proceedings of the 35th European Safety and Reliability Conference & the 33rd Society for Risk Analysis Europe Conference. editor / Eirik Bjorheim Abrahamsen ; Terje Aven ; Frederic Bouder ; Roger Flage ; Marja Ylönen. Stavanger, Norway : Research Publishing Services, 2025. pp. 1586-1593

@inproceedings{9d76da0cbf9f43a8a5fcce474d439f3a,

title = "Practical Application of Predictive Maintenance - Solving the Challenges",

abstract = "Industry is eager to harvest the potential of predictive maintenance (PdM). At the same time, only a fraction of the methods proposed in the past decade is actually applied in practice. This paper will identify the most prominent barriers for practical application of PdM, which are mainly related to the quality, relevance and availability of data. After that, three solution directions will be presented. The first solution aims to properly match ambition level with the available data and knowledge. The second set of solutions circumvents the lack of data by using physical models in addition to data. The third set of solutions addresses alternative ways of collecting data, including experimental test benches, experiments on fielded systems, and using numerical (simulation) models to generate data. Finally, the required standardized registration of (failure) data will be addressed.",

keywords = "Predictive maintenance, Hybrid methods, Physics-of-failure, Prognostics, Diagnostics, Data quality",

author = "Tiedo Tinga",

year = "2025",

month = jun,

doi = "10.3850/978-981-94-3281-3\_ESREL-SRA-E2025-P8303-cd",

language = "English",

pages = "1586--1593",

editor = "\{Bjorheim Abrahamsen\}, Eirik and Terje Aven and Frederic Bouder and Roger Flage and Marja Yl{\"o}nen",

booktitle = "Proceedings of the 35th European Safety and Reliability Conference \& the 33rd Society for Risk Analysis Europe Conference",

publisher = "Research Publishing Services",

note = "35th European Safety and Reliability Conference, ESREL 2025, ESREL 2025 ; Conference date: 15-06-2025 Through 19-06-2025",

}

Tinga, T 2025, Practical Application of Predictive Maintenance - Solving the Challenges. in E Bjorheim Abrahamsen, T Aven, F Bouder, R Flage & M Ylönen (eds), Proceedings of the 35th European Safety and Reliability Conference & the 33rd Society for Risk Analysis Europe Conference., P8303, Research Publishing Services, Stavanger, Norway, pp. 1586-1593, 35th European Safety and Reliability Conference, ESREL 2025, Stavanger, Norway, 15/06/25. https://doi.org/10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P8303-cd

Practical Application of Predictive Maintenance - Solving the Challenges. / Tinga, Tiedo.
Proceedings of the 35th European Safety and Reliability Conference & the 33rd Society for Risk Analysis Europe Conference. ed. / Eirik Bjorheim Abrahamsen; Terje Aven; Frederic Bouder; Roger Flage; Marja Ylönen. Stavanger, Norway: Research Publishing Services, 2025. p. 1586-1593 P8303.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Practical Application of Predictive Maintenance - Solving the Challenges

AU - Tinga, Tiedo

N1 - Conference code: 35

PY - 2025/6

Y1 - 2025/6

N2 - Industry is eager to harvest the potential of predictive maintenance (PdM). At the same time, only a fraction of the methods proposed in the past decade is actually applied in practice. This paper will identify the most prominent barriers for practical application of PdM, which are mainly related to the quality, relevance and availability of data. After that, three solution directions will be presented. The first solution aims to properly match ambition level with the available data and knowledge. The second set of solutions circumvents the lack of data by using physical models in addition to data. The third set of solutions addresses alternative ways of collecting data, including experimental test benches, experiments on fielded systems, and using numerical (simulation) models to generate data. Finally, the required standardized registration of (failure) data will be addressed.

AB - Industry is eager to harvest the potential of predictive maintenance (PdM). At the same time, only a fraction of the methods proposed in the past decade is actually applied in practice. This paper will identify the most prominent barriers for practical application of PdM, which are mainly related to the quality, relevance and availability of data. After that, three solution directions will be presented. The first solution aims to properly match ambition level with the available data and knowledge. The second set of solutions circumvents the lack of data by using physical models in addition to data. The third set of solutions addresses alternative ways of collecting data, including experimental test benches, experiments on fielded systems, and using numerical (simulation) models to generate data. Finally, the required standardized registration of (failure) data will be addressed.

KW - Predictive maintenance

KW - Hybrid methods

KW - Physics-of-failure

KW - Prognostics

KW - Diagnostics

KW - Data quality

U2 - 10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P8303-cd

DO - 10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P8303-cd

M3 - Conference contribution

SP - 1586

EP - 1593

BT - Proceedings of the 35th European Safety and Reliability Conference & the 33rd Society for Risk Analysis Europe Conference

A2 - Bjorheim Abrahamsen, Eirik

A2 - Aven, Terje

A2 - Bouder, Frederic

A2 - Flage, Roger

A2 - Ylönen, Marja

PB - Research Publishing Services

CY - Stavanger, Norway

T2 - 35th European Safety and Reliability Conference, ESREL 2025

Y2 - 15 June 2025 through 19 June 2025

ER -

Tinga T. Practical Application of Predictive Maintenance - Solving the Challenges. In Bjorheim Abrahamsen E, Aven T, Bouder F, Flage R, Ylönen M, editors, Proceedings of the 35th European Safety and Reliability Conference & the 33rd Society for Risk Analysis Europe Conference. Stavanger, Norway: Research Publishing Services. 2025. p. 1586-1593. P8303 doi: 10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P8303-cd

Practical Application of Predictive Maintenance - Solving the Challenges

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this