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About Predictive Maintenance For Industrial IoT of Vehicle PDF
This document discusses using a hierarchical modified fuzzy support vector machine (HMFSVM) for predictive maintenance of vehicle fleets in industrial IoT scenarios. HMFSVM is proposed as a statistical/machine learning technique to classify vehicle maintenance needs based on parameters like mileage, age, and maintenance history. It is shown to perform better than other algorithms by handling class imbalance, reducing support vectors and training time, and improving generalization. The benefits of predictive maintenance using this approach include avoiding breakdowns, reducing garage visits and costs, and increasing vehicle availability.
Detailed Information
| Author: | ['a'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 15 |
| Language: | English |
| Format: | |
| Price: | FREE |
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