Automobile Predictive Maintenance Using Deep Learning
| العنوان: | Automobile Predictive Maintenance Using Deep Learning |
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| المؤلفون: | Sanjit Kumar Dash, Jibitesh Mishra, Rahul Agarwal, Satyam Raj |
| المصدر: | International Journal of Artificial Intelligence and Machine Learning. 11:1-12 |
| بيانات النشر: | IGI Global, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Computer science, business.industry, General Chemical Engineering, Deep learning, Artificial intelligence, business, Machine learning, computer.software_genre, computer, Predictive maintenance |
| الوصف: | There are three types of maintenance management policy Run-tofailure (R2F), Preventive Maintenance (PvM) and Predictive Maintenance (PdM). In both R2F and PdM we have the data related to the maintenance cycle. In case of Preventive Maintenance (PvM) complete information about maintenance cycle is not available. Among these three maintenance policies, predictive Maintenance (PdM) is becoming a very important strategy as it can help us to minimize the repair time and the associated cost with it. In this paper we have proposed PdM, which allows the dynamic decision rules for the maintenance management. PdM is achieved by training the machine learning model with the datasets. It also helps in planning of maintenance schedules. We specially focused on two models that are Binary Classification and Recurrent Neural Network. In Binary Classification we classify whether our data belongs to the failure class or the non failure class. In Binary Classification the number of cycles is entered and classification model predicts whether it belongs to the failure/non failure class. |
| تدمد: | 2642-1585 2642-1577 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::bf135aef739b80c97f78f7cd0c71524a https://doi.org/10.4018/ijaiml.20210701.oa7 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........bf135aef739b80c97f78f7cd0c71524a |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 26421585 26421577 |
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