2023 Volume 40 Issue 2 Pages 57-
Anomaly prediction and diagnosis of various machinery using IoT technology have been widely studied． Although air conditioners are commonly used in many facilities， few studies have focused on anomaly diagnosis， especially for small and medium-sized air conditioners．In this study， we propose an approach for installing a data collection and diagnosis system for existing air conditioners． Some of the challenges faced in detecting and diagnosing anomalies in air conditioners include noisy environments， cost constraints， and seasonal changes of targets． Therefore， careful coordination of the data collection system and the diagnosis method， and constructing a diagnostic model for each season, and utilizing pressure data estimates in addition to vibration data could realize an effective and inexpensive anomaly detection system for air conditioners．
