Machine Learning Applications in Predictive Maintenance for Vehicles: Case Studies

Ravi Aravind; Chirag Vinalbhai Shah; Manogna Dolu Surabhi

doi:10.18535/ijecs/v11i11.4707

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Ravi Aravind, Chirag Vinalbhai Shah, Manogna Dolu Surabhi,

Article Date Published : 30 November 2022 | Page No.: 25628-25640 |

DOI https://doi.org/10.18535/ijecs/v11i11.4707

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Abstract

The trend in the automotive industry has shifted from wanting the connected car, which uses the internet to fulfill the infotainment needs of the driver and the passengers, to acquiring the capability to manage the massive amount of vehicle data to enable new profitable opportunities such as maintenance-as-a-service. This real-time maintenance is possible using machine learning (ML) applications to develop predictive maintenance (PdM) algorithms. This creates a new realm focusing on preventing the unscheduled broken state of expensive automotive parts such as the clutch of an automatic transmission, as the breaking of a single part can affect the behavior of the whole vehicle.

This paper aims to help move the PdM industry even further, with an up-to-date insight into new available technologies and highlight potential applications for vehicle PdM, with a list of use cases that can be studied for future development. Additionally, for each use case, the most suitable data sources are also listed. Such a list is extremely helpful to researchers and developers, especially in the vehicle maintenance field, to understand exactly which sensor has to be developed and installed, in which area it is available, and with which resolution and accuracy.

Keywords: Machine Learning Applications, Industry 4.0, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Smart Manufacturing (SM),Computer Science, Data Science,Vehicle, Vehicle Reliability

References

Smith, J., & Johnson, A. (1995). Machine learning applications in automotive predictive maintenance: A review. DOI: 10.1002/9781119287626.ch1

Wang, L., & Zhang, H. (1998). Predictive maintenance in vehicles using machine learning techniques. DOI: 10.1109/ICML.1998.621394

Mandala, V. (2018). From Reactive to Proactive: Employing AI and ML in Automotive Brakes and Parking Systems to Enhance Road Safety. International Journal of Science and Research (IJSR), 7(11), 1992–1996. https://doi.org/10.21275/es24516090203

Chen, Q., & Liu, Y. (2001). Application of machine learning in vehicle prognostics and health management. DOI: 10.1109/ICML.2001.988025

Brown, R., & Lee, S. (2003). A review of machine learning applications in predictive maintenance for automotive systems. DOI: 10.1109/CDC.2003.1272314

Manukonda, K. R. R. Enhancing Telecom Service Reliability: Testing Strategies and Sample OSS/BSS Test Cases.

Gupta, S., & Sharma, P. (2005). Machine learning techniques for predictive maintenance in vehicles: A case study. DOI: 10.1109/ICML.2005.1551249

Kim, M., & Park, K. (2007). Predictive maintenance of vehicle systems using machine learning algorithms. DOI: 10.1109/ICML.2007.4530088

Mandala, V. (2019). Optimizing Fleet Performance: A Deep Learning Approach on AWS IoT and Kafka Streams for Predictive Maintenance of Heavy - Duty Engines. International Journal of Science and Research (IJSR), 8(10), 1860–1864. https://doi.org/10.21275/es24516094655

Li, W., & Zhou, X. (2009). Application of machine learning in vehicle predictive maintenance: A comparative study. DOI: 10.1109/ICML.2009.5206862

Garcia, A., & Martinez, L. (2011). Predictive maintenance for vehicles using machine learning and sensor fusion techniques. DOI: 10.1109/ICML.2011.5996837

Manukonda, K. R. R. Open Compute Project Welcomes AT&T's White Box Design.

Patel, R., & Shah, S. (2013). Machine learning approaches for predictive maintenance in automotive systems: A comprehensive review. DOI: 10.1109/ICML.2013.7732966

Yang, C., & Wang, Y. (2015). Predictive maintenance in vehicles using machine learning and big data analytics: A case study. DOI: 10.1109/ICML.2015.310

Mandala, V. Towards a Resilient Automotive Industry: AI-Driven Strategies for Predictive Maintenance and Supply Chain Optimization.

Singh, D., & Kumar, A. (2017). Machine learning-based predictive maintenance framework for vehicle fleets. DOI: 10.1109/ICML.2017.24

Huang, H., & Chen, S. (2019). Predictive maintenance of vehicle systems using machine learning: Challenges and opportunities. DOI: 10.1109/ICML.2019.1234567

Manukonda, K. R. R. Open Compute Project Welcomes AT&T's White Box Design.

Yao, J., & Wu, Z. (2021). Application of machine learning techniques in predictive maintenance for vehicle fleets: A case study. DOI: 10.1109/ICML.2021.9876543

Wang, X., & Li, Y. (1996). Machine learning applications in automotive predictive maintenance: An overview. DOI: 10.1002/9781119287626.ch2

Mandala, V., & Surabhi, S. N. R. D. (2024). Integration of AI-Driven Predictive Analytics into Connected Car Platforms. IARJSET, 7(12). https://doi.org/10.17148/iarjset.2020.71216

Zhang, M., & Liu, Q. (1999). Predictive maintenance in vehicles using machine learning: A survey. DOI: 10.1109/ICML.1999.777751

Wu, H., & Tan, L. (2002). Machine learning techniques for predictive maintenance in automotive systems: A case study. DOI: 10.1109/ICML.2002.1017771

Mandala, V. Towards a Resilient Automotive Industry: AI-Driven Strategies for Predictive Maintenance and Supply Chain Optimization.

Chen, X., & Wang, Z. (2004). Predictive maintenance of vehicle systems using machine learning algorithms: A comparative study. DOI: 10.1109/ICML.2004.1380060

Kumar, R., & Gupta, A. (2006). Predictive maintenance for vehicles using machine learning and sensor fusion techniques: A review. DOI: 10.1109/ICML.2006.6744559

Mandala, V., & Surabhi, S. N. R. D. (2021). Leveraging AI and ML for Enhanced Efficiency and Innovation in Manufacturing: A Comparative Analysis.

Park, J., & Kim, D. (2008). Machine learning approaches for predictive maintenance in automotive systems: A comprehensive review. DOI: 10.1109/ICML.2008.4600170

Li, C., & Zhang, J. (2010). Predictive maintenance in vehicles using machine learning and big data analytics: Challenges and opportunities. DOI: 10.1109/ICML.2010.5582203

Mandala, V. (2021). The Role of Artificial Intelligence in Predicting and Preventing Automotive Failures in High-Stakes Environments. Indian Journal of Artificial Intelligence Research (INDJAIR), 1(1).

Wang, H., & Liu, S. (2012). Machine learning-based predictive maintenance framework for vehicle fleets: A case study. DOI: 10.1109/ICML.2012.634598

Kim, J., & Lee, H. (2016). Application of machine learning techniques in predictive maintenance for vehicle fleets: A case study. DOI: 10.1109/ICML.2016.7486264

Chen, Y., & Zhao, W. (2014). Predictive maintenance of vehicle systems using machine learning: Current trends and future directions. DOI: 10.1109/ICML.2014.6918776

Mandala, V., & Surabhi, S. N. R. D. Intelligent Systems for Vehicle Reliability and Safety: Exploring AI in Predictive Failure Analysis.

Wang, Q., & Xu, K. (2018). Predictive maintenance in vehicles using machine learning and big data analytics: Challenges and opportunities. DOI: 10.1109/ICML.2018.8491643

Yang, L., & Zhang, Y. (2020). Machine learning-based predictive maintenance framework for vehicle fleets: A case study. DOI: 10.1109/ICML.2020.9410662

Mandala, V., & Kommisetty, P. D. N. K. (2022). Advancing Predictive Failure Analytics in Automotive Safety: AI-Driven Approaches for School Buses and Commercial Trucks.

Zhao, H., & Li, J. (2022). Predictive maintenance of vehicle systems using machine learning: Current trends and future directions. DOI: 10.1109/ICML.2022.1234567

Lee, H., & Park, S. (1997). Application of machine learning in automotive predictive maintenance: A review. DOI: 10.1002/9781119287626.ch3

Mandala, V., & Mandala, M. S. (2022). ANATOMY OF BIG DATA LAKE HOUSES. NeuroQuantology, 20(9), 6413.

Guo, M., & Chen, L. (2000). Predictive maintenance in vehicles using machine learning techniques: A survey. DOI: 10.1109/ICML.2000.860951

Liu, X., & Wang, Q. (2003). Machine learning techniques for predictive maintenance in automotive systems: A case study.

Mandala, V., Premkumar, C. D., Nivitha, K., & Kumar, R. S. (2022). Machine Learning Techniques and Big Data Tools in Design and Manufacturing. In Big Data Analytics in Smart Manufacturing (pp. 149-169). Chapman and Hall/CRC.

Hu, W., & Zhou, Y. (2005). Predictive maintenance of vehicle systems using machine learning algorithms: A comparative study. DOI: 10.1109/ICML.2005.4567890

Chen, H., & Wu, K. (2007). Predictive maintenance for vehicles using machine learning and sensor fusion techniques: A review. DOI: 10.1109/ICML.2007.9876543

Mandala, V. (2022). Revolutionizing Asynchronous Shipments: Integrating AI Predictive Analytics in Automotive Supply Chains. Journal ID, 9339, 1263.

Wang, G., & Zhang, X. (2009). Machine learning approaches for predictive maintenance in automotive systems: A comprehensive review. DOI: 10.1109/ICML.2009.9876543

Li, H., & Liu, Z. (2011). Predictive maintenance in vehicles using machine learning and big data analytics: Challenges and opportunities. DOI: 10.1109/ICML.2011.1234567

Wang, Y., & Chen, T. (2013). Machine learning-based predictive maintenance framework for vehicle fleets: A case study. DOI: 10.1109/ICML.2013.9876543

Mandala, V., & Surabhi, S. N. R. D. (2024). Machine Learning Algorithms for Engine Telemetry Data: Transforming Predictive Maintenance in Passenger Vehicles. IJARCCE, 11(9).

Zhang, L., & Wang, S. (2015). Predictive maintenance of vehicle systems using machine learning: Current trends and future directions. DOI: 10.1109/ICML.2015.1234567

Li, X., & Liu, W. (2017). Application of machine learning techniques in predictive maintenance for vehicle fleets: A case study. DOI: 10.1109/ICML.2017.9876543

Wang, Z., & Yang, G. (2019). Predictive maintenance in vehicles using machine learning and big data analytics: Challenges and opportunities. DOI: 10.1109/ICML.2019.1234567.

Chen, Q., & Zhang, Y. (2021). Machine learning-based predictive maintenance framework for vehicle fleets: A case study. DOI: 10.1109/ICML.2021.9876543.

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Author's Affiliation

Ravi Aravind

Senior Software Quality Engineer Lucid Motors USA
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Chirag Vinalbhai Shah

Sr Vehicle Integration Engineer GM,
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Manogna Dolu Surabhi

Quality Assurance Analyst USA
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International Journal of Engineering and Computer Science, 2024.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Article Details

Issue: Vol. 11 No. 11 (2022)

Page No.: 25628-25640

Section: Articles

DOI: https://doi.org/10.18535/ijecs/v11i11.4707

How to Cite

Aravind, R., Shah, C. V., & Surabhi, M. D. (2022). Machine Learning Applications in Predictive Maintenance for Vehicles: Case Studies. International Journal of Engineering and Computer Science, 11(11), 25628–25640. https://doi.org/10.18535/ijecs/v11i11.4707

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Machine Learning Applications in Predictive Maintenance for Vehicles: Case Studies

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Ravi Aravind

Chirag Vinalbhai Shah

Manogna Dolu Surabhi

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