Implementation of an Induction Motor Condition Monitoring Platform
| Autor: | Chia-Min Lin, 林家民 |
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| Rok vydání: | 2015 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 103 As the growth of automated industrial technologies, the level of industrial automation technology has been increasing day by day. Motors have played the main role of safe operation for electrical equipments. Thus, normal motor equipment operation will directly influence the operations of various factories. However, unexpected motor malfunction will cause factory operations to cease, which results in severe financial losses and even operator safety hazard. Traditional motor equipment is maintained by periodic time-based scheduling through motor detachment and consuming lots of resources although it could reduce accidents. However, motor malfunction cannot be detected in advance to troubles. Thus, preventive fault detection using the motor condition monitoring system can not only better understand the operation status of motors but also effectively enhance operational reliability. In this study, an Induction Motor Condition Monitoring Platform(abbreviated IMCMP) is developed, which uses the industry-leading micro-controller ARM Cortex™-M4, and implant the real-time system, In addition, the proposed platform uses voltage sensor, current sensor and the triaxial accelerometer to capture the electrical signals and vibration signals respectively. Then, vibration signal was integrated and the analytic results were displayed graphically in real time on touch-screen to provide users the results of current operation status of the motor. Furthermore, motor could convey the raw measurement data to the remote station. User could receive more accurate analysis information and, diagnosis results on personal computer through the TCP/IP Communication Protocol. To verify the effectiveness of the developmented IMCMP, field test results obtained from the proposed platform and commercial industry computer are compared, which show a good agreement in measurement accuracy. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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