An overview of reinforcement learning and deep reinforcement learning for condition-based maintenance
سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 197
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شناسه ملی سند علمی:
JR_IJRRS-4-2_009
تاریخ نمایه سازی: 9 آبان 1401
چکیده مقاله:
Condition-based maintenance (CBM) involves making decisions on maintenance based on the actual deterioration conditions of the components. It consists of a chain of states representing various stages of deterioration and a set of maintenance actions. Therefore, condition-based maintenance is a sequential decision-making problem. Reinforcement Learning(RL) is a subfield of Machine Learning proposed for automated decision-making. This article provides an overview of reinforcement learning and deep reinforcement learning methods that have been used so far in condition-based maintenance optimization.
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نویسندگان
Zahra Dehghani Ghobadi
School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran
Firoozeh Haghighi
School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran
Abdollah safari
School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran