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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Issue: February 2026
Volume 11 | Issue 2
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 117
Article Submitted : 21318
Article Published : 8476
Total Authors : 22301
Total Reviewer : 802
Total Countries : 156
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| Paper Title: | Intelligent Vibration-Driven Structural Integrity Monitoring System Using IoT and ML Enhancing Structural Safety with IoT-Enabled Vibration Analytics |
| Authors Name: | Snehal Tingane , Ashwini Deshmukh , Prathmesh Khadakkar , Tanaya Dhengle , Sakshi Deshmukh , Santosh Gavale, Tanmay Gogate |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_208638
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| Published Paper Id: | IJRTI2512137 |
| Published In: | Volume 10 Issue 12, December-2025 |
| DOI: | |
| Abstract: | This project presents an Intelligent Vibration-Driven Structural Integrity Monitoring System using IoT and Machine Learning for real-time detection of abnormal vibration patterns. The system uses vibration sensors to collect data and transfers it through IoT for continuous monitoring. Machine Learning techniques help identify unusual signals that may indicate structural faults. The proposed system provides a low-cost, automated, and efficient method to improve safety and support early fault detection. |
| Keywords: | Structural Health Monitoring, Vibration Analysis, IoT, Machine Learning, Real-Time Monitoring, Sensor- Based System, Fault Detection, Predictive Maintenance. |
| Cite Article: | "Intelligent Vibration-Driven Structural Integrity Monitoring System Using IoT and ML Enhancing Structural Safety with IoT-Enabled Vibration Analytics", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.b279-b283, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512137.pdf |
| Downloads: | 000132 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2512137
Registration ID:208638
Published In: Volume 10 Issue 12, December-2025
DOI (Digital Object Identifier):
Page No: b279-b283 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2512137 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2512137 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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