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A Study on the Implementation of Intelligent Diagnosis System for Motor Pump  

Ahn, Jae Hyun (Semiconductor Engineering of Cheongju University)
Yang, Oh (Semiconductor Engineering of Cheongju University)
Publication Information
Journal of the Semiconductor & Display Technology / v.18, no.4, 2019 , pp. 87-91 More about this Journal
Abstract
The diagnosis of the failure for the existing electrical facilities was based on regular preventive maintenance, but this preventive maintenance was limited in preventing a lot of cost loss and sudden system failure. To overcome these shortcomings, fault prediction and diagnostic techniques are critical to increasing system reliability by monitoring electrical installations in real time and detecting abnormal conditions in the facility early. As the performance and quality deterioration problem occurs frequently due to the increase in the number of users of the motor pump, the purpose is to build an intelligent control system that can control the motor pump to maximize the performance and to improve the quality and reliability. To this end, a vibration sensor, temperature sensor, pressure sensor, and low water level sensor are used to detect vibrations, temperatures, pressures, and low water levels that can occur in the motor pump, and to build a system that can identify and diagnose information to users in real time.
Keywords
Motor pump; Fault prediction; Diagnosis technology; Diagnostic system; Vibration sensor; Temperature sensor; Pressure sensor; Low water level sensor;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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