Physics-based prognostics: review and future directions

Amit Kumar Jain; Sheng Chen; Babakalli Alkali; Sandeep Kumar; Pankaj Kumar

doi:10.1007/978-981-97-4700-9_40

Physics-based prognostics: review and future directions

Amit Kumar Jain^*, Sheng Chen, Babakalli Alkali, Sandeep Kumar, Pankaj Kumar

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Prognostics predicts when an asset may fail and has the potential to drastically lower maintenance costs and increase availability. In this, physics-based prognostics considers a variety of external variables that influence deterioration and failure rather than only looking at previous asset failure rates. Physics-based prognostics is crucial for complex systems, where accuracy is paramount, yet testing is constrained. As a result, physics-based prognostics has received considerable research attention in the literature. In this paper, first, the present level of knowledge in physics-based prognostics is reviewed and summarised. This also identifies appropriate physics-based models for engineering systems, including mechanical, aviation, electrical, and electronic systems. The current paper grants practitioners a holistic view of physics-based prognostics, enabling them to develop tailored methods with optimal implementation and performance. This paper’s significant contribution is identifying research challenges and vital areas for further investigation.

Original language	English
Title of host publication	Recent Advances in Industrial and Systems Engineering: Select Proceedings of RAISE 2023
Editors	S. G. Ponnambalam, Purushothaman Damodaran, Nachiappan Subramanian, J. Paulo Davim
Publisher	Springer Singapore
Pages	425-434
Number of pages	10
ISBN (Electronic)	9789819747009
ISBN (Print)	9789819746996
DOIs	https://doi.org/10.1007/978-981-97-4700-9_40
Publication status	Published - 27 Aug 2024
Event	First International Conference on Recent Advances in Industrial and Systems Engineering - Vellore Institute of Technology, Vellore, India Duration: 20 Dec 2023 → 22 Dec 2023 https://vit.ac.in/RAISE2023/ (Link to conference website)

Publication series

Name	Lecture Notes on Multidisciplinary Industrial Engineering
Publisher	Springer
ISSN (Print)	2522-5022
ISSN (Electronic)	2522-5030

Conference

Conference	First International Conference on Recent Advances in Industrial and Systems Engineering
Abbreviated title	RAISE2023
Country/Territory	India
City	Vellore
Period	20/12/23 → 22/12/23
Internet address	https://vit.ac.in/RAISE2023/ (Link to conference website)

Keywords

Physics-based prognostics
Remaining useful life
Failure mechanics
Failure modes
Maintenance

ASJC Scopus subject areas

Business and International Management
Organizational Behavior and Human Resource Management
Industrial and Manufacturing Engineering
Safety, Risk, Reliability and Quality

Documents and Links

10.1007/978-981-97-4700-9_40

Embargoed Document

Author accepted manuscript
Author accepted manuscript, 78.8 KB
Embargo ends: 27/08/25

Cite this

Jain, A. K., Chen, S., Alkali, B., Kumar, S., & Kumar, P. (2024). Physics-based prognostics: review and future directions. In S. G. Ponnambalam, P. Damodaran, N. Subramanian, & J. P. Davim (Eds.), Recent Advances in Industrial and Systems Engineering: Select Proceedings of RAISE 2023 (pp. 425-434). (Lecture Notes on Multidisciplinary Industrial Engineering). Springer Singapore. https://doi.org/10.1007/978-981-97-4700-9_40

Jain, Amit Kumar ; Chen, Sheng ; Alkali, Babakalli et al. / Physics-based prognostics: review and future directions. Recent Advances in Industrial and Systems Engineering: Select Proceedings of RAISE 2023. editor / S. G. Ponnambalam ; Purushothaman Damodaran ; Nachiappan Subramanian ; J. Paulo Davim. Springer Singapore, 2024. pp. 425-434 (Lecture Notes on Multidisciplinary Industrial Engineering).

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title = "Physics-based prognostics: review and future directions",

abstract = "Prognostics predicts when an asset may fail and has the potential to drastically lower maintenance costs and increase availability. In this, physics-based prognostics considers a variety of external variables that influence deterioration and failure rather than only looking at previous asset failure rates. Physics-based prognostics is crucial for complex systems, where accuracy is paramount, yet testing is constrained. As a result, physics-based prognostics has received considerable research attention in the literature. In this paper, first, the present level of knowledge in physics-based prognostics is reviewed and summarised. This also identifies appropriate physics-based models for engineering systems, including mechanical, aviation, electrical, and electronic systems. The current paper grants practitioners a holistic view of physics-based prognostics, enabling them to develop tailored methods with optimal implementation and performance. This paper{\textquoteright}s significant contribution is identifying research challenges and vital areas for further investigation.",

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author = "Jain, {Amit Kumar} and Sheng Chen and Babakalli Alkali and Sandeep Kumar and Pankaj Kumar",

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Jain, AK , Chen, S , Alkali, B, Kumar, S & Kumar, P 2024, Physics-based prognostics: review and future directions. in SG Ponnambalam, P Damodaran, N Subramanian & JP Davim (eds), Recent Advances in Industrial and Systems Engineering: Select Proceedings of RAISE 2023. Lecture Notes on Multidisciplinary Industrial Engineering, Springer Singapore, pp. 425-434, First International Conference on Recent Advances in Industrial and Systems Engineering , Vellore, India, 20/12/23. https://doi.org/10.1007/978-981-97-4700-9_40

Physics-based prognostics: review and future directions. / Jain, Amit Kumar ; Chen, Sheng ; Alkali, Babakalli et al.
Recent Advances in Industrial and Systems Engineering: Select Proceedings of RAISE 2023. ed. / S. G. Ponnambalam; Purushothaman Damodaran; Nachiappan Subramanian; J. Paulo Davim. Springer Singapore, 2024. p. 425-434 (Lecture Notes on Multidisciplinary Industrial Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Jain, Amit Kumar

AU - Chen, Sheng

AU - Alkali, Babakalli

AU - Kumar, Sandeep

AU - Kumar, Pankaj

PY - 2024/8/27

Y1 - 2024/8/27

N2 - Prognostics predicts when an asset may fail and has the potential to drastically lower maintenance costs and increase availability. In this, physics-based prognostics considers a variety of external variables that influence deterioration and failure rather than only looking at previous asset failure rates. Physics-based prognostics is crucial for complex systems, where accuracy is paramount, yet testing is constrained. As a result, physics-based prognostics has received considerable research attention in the literature. In this paper, first, the present level of knowledge in physics-based prognostics is reviewed and summarised. This also identifies appropriate physics-based models for engineering systems, including mechanical, aviation, electrical, and electronic systems. The current paper grants practitioners a holistic view of physics-based prognostics, enabling them to develop tailored methods with optimal implementation and performance. This paper’s significant contribution is identifying research challenges and vital areas for further investigation.

AB - Prognostics predicts when an asset may fail and has the potential to drastically lower maintenance costs and increase availability. In this, physics-based prognostics considers a variety of external variables that influence deterioration and failure rather than only looking at previous asset failure rates. Physics-based prognostics is crucial for complex systems, where accuracy is paramount, yet testing is constrained. As a result, physics-based prognostics has received considerable research attention in the literature. In this paper, first, the present level of knowledge in physics-based prognostics is reviewed and summarised. This also identifies appropriate physics-based models for engineering systems, including mechanical, aviation, electrical, and electronic systems. The current paper grants practitioners a holistic view of physics-based prognostics, enabling them to develop tailored methods with optimal implementation and performance. This paper’s significant contribution is identifying research challenges and vital areas for further investigation.

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KW - Failure modes

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ER -

Jain AK , Chen S , Alkali B, Kumar S, Kumar P. Physics-based prognostics: review and future directions. In Ponnambalam SG, Damodaran P, Subramanian N, Davim JP, editors, Recent Advances in Industrial and Systems Engineering: Select Proceedings of RAISE 2023. Springer Singapore. 2024. p. 425-434. (Lecture Notes on Multidisciplinary Industrial Engineering). doi: 10.1007/978-981-97-4700-9_40

Physics-based prognostics: review and future directions

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Documents and Links

Embargoed Document

Fingerprint

Cite this