Condition-based maintenance using machine learning and role of interpretability: a review
Author
Abstract
Suggested Citation
DOI: 10.1007/s13198-022-01843-7
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Minghui Ou & Hua Wei & Yiyi Zhang & Jiancheng Tan, 2019. "A Dynamic Adam Based Deep Neural Network for Fault Diagnosis of Oil-Immersed Power Transformers," Energies, MDPI, vol. 12(6), pages 1-16, March.
- Zhao, Yang & Liu, Peng & Wang, Zhenpo & Zhang, Lei & Hong, Jichao, 2017. "Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods," Applied Energy, Elsevier, vol. 207(C), pages 354-362.
- Daniel W. Apley & Jingyu Zhu, 2020. "Visualizing the effects of predictor variables in black box supervised learning models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(4), pages 1059-1086, September.
- Swanson, Laura, 2001. "Linking maintenance strategies to performance," International Journal of Production Economics, Elsevier, vol. 70(3), pages 237-244, April.
- Alexandros Bousdekis & Babis Magoutas & Dimitris Apostolou & Gregoris Mentzas, 2018. "Review, analysis and synthesis of prognostic-based decision support methods for condition based maintenance," Journal of Intelligent Manufacturing, Springer, vol. 29(6), pages 1303-1316, August.
- Gits, C. W., 1992. "Design of maintenance concepts," International Journal of Production Economics, Elsevier, vol. 24(3), pages 217-226, March.
- Hsu-Hao Yang & Mei-Ling Huang & Shih-Wei Yang, 2015. "Integrating Auto-Associative Neural Networks with Hotelling T 2 Control Charts for Wind Turbine Fault Detection," Energies, MDPI, vol. 8(10), pages 1-16, October.
- Guifang Liu & Huaiqian Bao & Baokun Han, 2018. "A Stacked Autoencoder-Based Deep Neural Network for Achieving Gearbox Fault Diagnosis," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-10, July.
- Salahshoor, Karim & Kordestani, Mojtaba & Khoshro, Majid S., 2010. "Fault detection and diagnosis of an industrial steam turbine using fusion of SVM (support vector machine) and ANFIS (adaptive neuro-fuzzy inference system) classifiers," Energy, Elsevier, vol. 35(12), pages 5472-5482.
- Wenna Zhang & Xiandong Ma, 2016. "Simultaneous Fault Detection and Sensor Selection for Condition Monitoring of Wind Turbines," Energies, MDPI, vol. 9(4), pages 1-15, April.
- Sunil Sapra, 2010. "Robust vs. classical principalcomponent analysis in the presence of outliers," Applied Economics Letters, Taylor & Francis Journals, vol. 17(6), pages 519-523.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Vanderschueren, Toon & Boute, Robert & Verdonck, Tim & Baesens, Bart & Verbeke, Wouter, 2023. "Optimizing the preventive maintenance frequency with causal machine learning," International Journal of Production Economics, Elsevier, vol. 258(C).
- Toon Vanderschueren & Robert Boute & Tim Verdonck & Bart Baesens & Wouter Verbeke, 2022. "Prescriptive maintenance with causal machine learning," Papers 2206.01562, arXiv.org.
- Muchiri, Peter & Pintelon, Liliane & Gelders, Ludo & Martin, Harry, 2011. "Development of maintenance function performance measurement framework and indicators," International Journal of Production Economics, Elsevier, vol. 131(1), pages 295-302, May.
- Mahboob Elahi & Samuel Olaiya Afolaranmi & Wael M. Mohammed & Jose Luis Martinez Lastra, 2022. "Energy-Based Prognostics for Gradual Loss of Conveyor Belt Tension in Discrete Manufacturing Systems," Energies, MDPI, vol. 15(13), pages 1-18, June.
- Alsyouf, Imad, 2009. "Maintenance practices in Swedish industries: Survey results," International Journal of Production Economics, Elsevier, vol. 121(1), pages 212-223, September.
- Eduardo Cavallo & Eduardo Fernández Arias, 2023. "Strong External Balance Sheets for Resilient Economies," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 2, pages 5-36, Inter-American Development Bank.
- João Ayres & Anna Gelpern & Andrew Powell, 2023. "Sovereign Debt Restructuring: In Need of a New Approach," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 10, pages 223-254, Inter-American Development Bank.
- Jinrui Nan & Bo Deng & Wanke Cao & Jianjun Hu & Yuhua Chang & Yili Cai & Zhiwei Zhong, 2022. "Big Data-Based Early Fault Warning of Batteries Combining Short-Text Mining and Grey Correlation," Energies, MDPI, vol. 15(15), pages 1-19, July.
- Ruairi C. Robertson & Thaddeus J. Edens & Lynnea Carr & Kuda Mutasa & Ethan K. Gough & Ceri Evans & Hyun Min Geum & Iman Baharmand & Sandeep K. Gill & Robert Ntozini & Laura E. Smith & Bernard Chasekw, 2023. "The gut microbiome and early-life growth in a population with high prevalence of stunting," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
- S Taghipour & D Banjevic & A K S Jardine, 2011. "Prioritization of medical equipment for maintenance decisions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(9), pages 1666-1687, September.
- Leandro Andrián & Oscar Mauricio Valencia, 2023. "Past the Tipping Point? Assessing Debt Overhang in Latin America and the Caribbean," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 8, pages 183-196, Inter-American Development Bank.
- Dowlatshahi, Shad, 2008. "The role of industrial maintenance in the maquiladora industry: An empirical analysis," International Journal of Production Economics, Elsevier, vol. 114(1), pages 298-307, July.
- Li, Shuangqi & He, Hongwen & Li, Jianwei, 2019. "Big data driven lithium-ion battery modeling method based on SDAE-ELM algorithm and data pre-processing technology," Applied Energy, Elsevier, vol. 242(C), pages 1259-1273.
- MarÃa Cecilia Acevedo & Vanessa Alviarez & Joaquin Lennon Sabatini, 2023. "Managing Private Debt," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 11, pages 255-284, Inter-American Development Bank.
- Wang, Anqi & Pei, Yan & Qian, Zheng & Zareipour, Hamidreza & Jing, Bo & An, Jiayi, 2022. "A two-stage anomaly decomposition scheme based on multi-variable correlation extraction for wind turbine fault detection and identification," Applied Energy, Elsevier, vol. 321(C).
- Chan, F. T. S. & Lau, H. C. W. & Ip, R. W. L. & Chan, H. K. & Kong, S., 2005. "Implementation of total productive maintenance: A case study," International Journal of Production Economics, Elsevier, vol. 95(1), pages 71-94, January.
- Lu, Xuefei & Borgonovo, Emanuele, 2023. "Global sensitivity analysis in epidemiological modeling," European Journal of Operational Research, Elsevier, vol. 304(1), pages 9-24.
- Li, Da & Zhang, Lei & Zhang, Zhaosheng & Liu, Peng & Deng, Junjun & Wang, Qiushi & Wang, Zhenpo, 2023. "Battery safety issue detection in real-world electric vehicles by integrated modeling and voltage abnormality," Energy, Elsevier, vol. 284(C).
- Elianne Mora & Jenny Cifuentes & Geovanny Marulanda, 2021. "Short-Term Forecasting of Wind Energy: A Comparison of Deep Learning Frameworks," Energies, MDPI, vol. 14(23), pages 1-26, November.
- Sullivan Hué, 2022. "GAM(L)A: An econometric model for interpretable machine learning," French Stata Users' Group Meetings 2022 19, Stata Users Group.
More about this item
Keywords
Condition-based maintenance; Machine learning; Anomaly detection; Explainable artificial intelligence; Interpretability; Model-agnostic methods;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:15:y:2024:i:4:d:10.1007_s13198-022-01843-7. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.