The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Prognostics and Health Management: A Review on Data Driven Approaches
Open accessAbstract
Prognostics and health management (PHM) is a framework that offers comprehensive yet individualized solutions for managing system health. In recent years, PHM has emerged as an essential approach for achieving competitive advantages in the global market by improving reliability, maintainability, safety, and affordability. Concepts and components in PHM have been developed separately in many areas such as mechanical engineering, electrical engineering, and statistical science, under varied names. In this paper, we provide a concise review of mainstream methods in major aspects of the PHM framework, including the updated research from both statistical science and engineering, with a focus on data-driven approaches. Real world examples have been provided to illustrate the implementation of PHM in practice.
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Cites
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Cited by
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
Wang, B., Lei, Y., Li, N., & Li, N. (2020) · IEEE Transactions on Reliability · doi:10.1109/tr.2018.2882682 · Cited by 1,917
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Rengasamy, D., Jafari, M., Rothwell, B., Chen, X., & Figueredo, G. P. (2020) · Sensors · doi:10.3390/s20030723 · Cited by 118
An Improved Generic Hybrid Prognostic Method for RUL Prediction Based on PF-LSTM Learning
Xue, K., Yang, J., Yang, M., & Wang, D. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3251391 · Cited by 75
Transfer Learning Strategies for Deep Learning-based PHM Algorithms
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Metadata
- Authors
- Tsui, K. L., Chen, N., Zhou, Q., Hai, Y., & Wang, W.
- Venue
- Mathematical Problems in Engineering
- Publisher
- Wiley
- Published
- 2015
- Volume
- 2015
- Pages
- 1-17
- ISSN
- 1024-123X (ISSN-L)
- 1563-5147
- OpenAlex
- W1540327028
- Cited by
- 368
- References
- 95
- FWCI
- 48.03
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Tsui, K. L., Chen, N., Zhou, Q., Hai, Y., & Wang, W. (2015). Prognostics and Health Management: A Review on Data Driven Approaches. Mathematical Problems in Engineering. https://doi.org/10.1155/2015/793161
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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