VGU RESEARCH REPOSITORY
Please use this identifier to cite or link to this item:
https://epub.vgu.edu.vn/handle/dlibvgu/1874| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Tran Huu Phuc | en_US |
| dc.date.accessioned | 2024-11-15T06:52:47Z | - |
| dc.date.available | 2024-11-15T06:52:47Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.uri | https://epub.vgu.edu.vn/handle/dlibvgu/1874 | - |
| dc.description.abstract | The amalgamation of artificial intelligence (AI) with Internet of Things (IoT) offers substantial prospects for predictive maintenance across diverse applications, empowering systems to self-monitor, evaluate, and react to environmental data instantaneously. This research investigates the creation of intelligent software intende to handle, track, and identify irregularities in Internet of Things (IoT) sensor data by applying a Convolutional Neural Network (CNN) model. The system is structured around four main modules: Data Preparation and Processing, Training, Prediction, and a Mobile App interface. Data from multiple sensors is processed and used to train a CNN model, which then predicts future values and identifies any deviations that could indicate potential issues. The Mobile App displays these insights in a user-friendly manner, providing real-time alerts for any detected anomalies. Despite challenges such as the need for extensive training data and the complexity of developing cross-platform applications, the project demonstrates the potential of combining IoT and AI for predictive maintenance. Future enhancements could further refine the system's accuracy, speed, and user experience, making it a valuable tool in various industrial and domestic settings. | en_US |
| dc.language.iso | en | en_US |
| dc.rights | Attribution-NonCommercial 4.0 International | * |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | * |
| dc.subject | IOT applications | en_US |
| dc.subject | AI model | en_US |
| dc.title | Anomaly detection in predictive maintenance for internet of things applications | en_US |
| dc.type | Thesis | en_US |
| item.fulltext | With Fulltext | - |
| item.languageiso639-1 | other | - |
| item.grantfulltext | restricted | - |
| Appears in Collections: | Computer Science (CS) | |
Files in This Item:
| File | Description | Size | Format | Existing users please Login |
|---|---|---|---|---|
| Anomaly detection in predictive maintenance for internet of things applications.pdf | 9.74 MB | Adobe PDF |
Page view(s)
50
checked on Aug 24, 2025
Download(s)
22
checked on Aug 24, 2025
Google ScholarTM
Check
This item is licensed under a Creative Commons License