Systematic literature review on predictive maintenance of vehicles and diagnosis of vehicle's health using machine learning techniques

Author:

Jain Muskan1,Vasdev Dipit1,Pal Kunal1,Sharma Vishal1ORCID

Affiliation:

1. Department of Computer Science and Engineering Bharati Vidyapeeth's College of Engineering New Delhi Delhi India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Reference49 articles.

1. Agencija za statistiku BiH. (n.d.) Accessed July 18 2021.http://www.bhas.ba

2. IDARTS – Towards intelligent data analysis and real-time supervision for industry 4.0

3. Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data

4. Who owns the road? The IoT‐connected car of today—and tomorrow. Accessed July 18 2021.https://www2.deloitte.com/tr/en/pages/technology‐media‐and‐telecommunications/articles/internet‐of‐things‐iot‐in‐automotive‐industry.html

5. Safety and failure analysis of electrical powertrain for fully electric vehicles and the development of a prognostic health monitoring system

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1. A new approach: ordinal predictive maintenance with ensemble binary decomposition (OPMEB);Turkish Journal of Electrical Engineering and Computer Sciences;2024-07-26

2. Research on Optimization Scheduling Model for the Use and Maintenance of Protective Vehicles;2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS);2024-05-31

3. ANALISIS PEMELIHARAAN PREDIKTIF KENDARAAN OPERASIONAL MENGGUNAKAN ALGORITMA NAÏVE BAYES DAN DECISION TREE;Journal Publicuho;2024-05-20

4. Proposal of a Machine Learning Predictive Maintenance Solution Architecture;INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL;2024-05-04

5. Application of Decision Tree and Machine Learning in New Energy Vehicle Maintenance Decision Making;Applied Mathematics and Nonlinear Sciences;2024-01-01

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