DEVELOPMENT AND MANUFACTURING OF RMS DATA ACQUISITION INSTRUMENT USING ATMEGA32
Predictive maintenance techniques carried out by monitoring the condition of the operating machine. If machine condition monitoring is done continuously, the monitoring <br /> <br /> <br /> which been done is called by online monitoring. Online monitoring need acquisition of mach...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/16029 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Predictive maintenance techniques carried out by monitoring the condition of the operating machine. If machine condition monitoring is done continuously, the monitoring <br />
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which been done is called by online monitoring. Online monitoring need acquisition of machinery vibration signals continuously. Therefore, it needed a reliable data acquisition instruments. Design and manufacture of data acquisition instruments been already done in the dynamics Lab. PAUIR-ITB. However, developed instruments still has some limitations such as unreliable RTC (Real-Time Clock) circuit and small data storage capacity. <br />
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In this research hardware and software of data acquisition instruments that can process the vibration signal data into the RMS data online was developed. Development of hardware include the replacement of the RTC circuit, additional data storage capacity by adding external memory circuits that use EEPROM (External Electronically Erasable Programmable Read Only Memory) and the addition of voltage to current converter circuit. Meanwhile, the development of software covers the development of data storage settings program for both time data and RMS vibration signals data. Both data storage performed every hour for a month. Such storage is equivalent to storing data in memory as many as 720 pieces of data. Hardware test results showed that the RTC circuit could perform reliable measurement of time data. In addition, the instrument used has a maximum non-linearity value of 1.63%. Meanwhile, software test results show that developed instruments capable of storing as many as 720 data consistently. |
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