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Fault Diagnostic of Drain Pump Based on AI SVM

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The ceiling cassette have drain pump that operated 24 hours per day. It drains water from indoor to outside. In this reason, it makes a little bit higher noise compared to normal operating indoor unit. To get a good sound quality, the AC motor was changed to BLDC motor to reduce the 2nd harmonic noise. Abnormal noise caused by process problems in the production line of the BLDC motor is generated when installed in the ceiling cassette. The manufacturing line of the BLDC motor is slightly different in the process of the rotor. But the pump is same. This difference makes noise, which is caused by poor assembly or magnetization. This process has many uncertainties because abnormal noise occurs only when assembled in a ceiling cassette. So this is difficult to divided normal and abnormal drain pump case. To prevent these abnormal sounds, diagnostic systems using vibration and noise were considered, but the classification was poor in conventional methods. So the system is developed to analyse data using the basic AI machine learning model, SVM(Support Vector Machine), to classify normal and abnormal drain pumps. In this paper, a nonlinear classification technique, the RBF(Radial Basis Function) kernel SVM model is used to classify the fault diagnosis model with 98% accuracy.

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Document Type: Research Article

Affiliations: LG Electronics

Publication date: 12 October 2020

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