Motor Rotation Speed Estimation based on Magnetic Inductive Sensing
Fuente:
arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866915197442064384 |
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| author | Hoskeri, Rahul Huang, Hua |
| author_facet | Hoskeri, Rahul Huang, Hua |
| contents | Rotation speed is a key metric for many applications, such as calibrating electric motors in a factory, monitoring a car's engine health, detecting faults in electrical appliances, and more. However, existing measurement techniques have several drawbacks, including the need for line-of-sight visibility, intrusive machine modification, fixed sensor deployment, or short sensing ranges. In this paper, we introduce MagTach, a handheld hardware-software system for rotation speed measurement that leverages electromagnetic field sensing to provide highly accurate and convenient readings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_10885 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Motor Rotation Speed Estimation based on Magnetic Inductive Sensing Hoskeri, Rahul Huang, Hua Networking and Internet Architecture Rotation speed is a key metric for many applications, such as calibrating electric motors in a factory, monitoring a car's engine health, detecting faults in electrical appliances, and more. However, existing measurement techniques have several drawbacks, including the need for line-of-sight visibility, intrusive machine modification, fixed sensor deployment, or short sensing ranges. In this paper, we introduce MagTach, a handheld hardware-software system for rotation speed measurement that leverages electromagnetic field sensing to provide highly accurate and convenient readings. |
| title | Motor Rotation Speed Estimation based on Magnetic Inductive Sensing |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2503.10885 |