On proposing a non-intrusive device and methodology to monitor motor degradation
| Autor: | Cesar David Paredes Crovato, Rodrigo da Rosa Righi, Henrique Cafruni Kuhn |
|---|---|
| Rok vydání: | 2023 |
| Předmět: |
Environmental Engineering
Computer science Stator 020209 energy General Chemical Engineering 0211 other engineering and technologies 02 engineering and technology Catalysis Automotive engineering law.invention Software Installation law 021105 building & construction 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Civil and Structural Engineering business.industry Mechanical Engineering General Engineering Power (physics) Vibration Task (computing) business Induction motor Degradation (telecommunications) |
| Zdroj: | Journal of King Saud University - Engineering Sciences. 35:215-223 |
| ISSN: | 1018-3639 |
| Popis: | Monitoring the degradation of induction motors is an essential concern for industries, especially when there are high costs related to maintenance and their stops. Nowadays, there are many non-invasive ways to monitor the health status of induction motors, including sensors to measure temperature, magnetic field, vibration, current, and power. However, installing these sensors may not be a simple task since intrusive procedures such as engine disassembling, wire separation, and engine interruption are commonly observed. Thus, we propose MUCLA (Multiphase Clamp and Tracking - patent pending) as a new device and methodology for monitoring motor degradation by analyzing its stator current. MUCLA introduces a non-invasive current sensors array on a proposed clamp in the hardware perspective, while a spectral tracking methodology refers to our novelty in the software viewpoint. For end-users, the main MUCLA contribution relies on the combination of the simplicity of installation and the possibility of using the proposed device even when considering Variable-Frequency Drive powered engines. The results obtained with both simulation and practical tests show encouraging results over different input workloads and emulated degradation. Compared to the current initiatives, we can classify MUCLA as a better solution for industrial plants in terms of installation time, installation complexity, and cost. |
| Databáze: | OpenAIRE |
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