Implementing K-Star Algorithm to Monitor Tyre Pressure using Extracted Statistical Features from Vertical Wheel Hub Vibrations
| العنوان: | Implementing K-Star Algorithm to Monitor Tyre Pressure using Extracted Statistical Features from Vertical Wheel Hub Vibrations |
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| المؤلفون: | P. S. Anoop, V. Sugumaran, Hemanth Mithun Praveen |
| المصدر: | Indian Journal of Science and Technology. 9 |
| بيانات النشر: | Indian Society for Education and Environment, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | Multidisciplinary, business.industry, Computer science, Automotive industry, 02 engineering and technology, Star (graph theory), Accelerometer, Signal, Pressure sensor, Vibration, 030507 speech-language pathology & audiology, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Pressure monitoring, 0305 other medical science, business, Algorithm, Simulation |
| الوصف: | Objectives: Tyre pressure monitoring systems are automotive electronic systems used to monitor the automobile tyre pressure. The existing systems use pressure sensors or wheel speed sensors. They depend on batteries and radio transmitters which would add up to cost and complexity. Methods/Analysis: This paper proposes a new machine learning approach to monitor the tyre pressure. Vertical vibrations are extracted from a wheel hub of a moving vehicle using an accelerometer and are classified using machine learning techniques. The statistical features are extracted from the vibration signal and the features are classified using K Star algorithm. Findings: A reasonably high classification accuracy of 89.16% was obtained. Application/Improvements: The proposed model can be used for monitoring the automobile tyre pressure successfully. |
| تدمد: | 0974-5645 0974-6846 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b887827f796f68cd7b8148696a194d7Test https://doi.org/10.17485/ijst/2015/v8i1/107926Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....0b887827f796f68cd7b8148696a194d7 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 09745645 09746846 |
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