Core Concepts
Compressor-based machines offer rich time series data for fault detection, prediction, and forecasting, driving research in the field.
Stats
"The work in [6] uses XGBoost to predict faults in data collected by IoT devices in refrigerators."
"The work in [65] aims at predicting faults in chillers in multi-storey buildings based on sensor alarms."
"The work in [36] predicts faults in chillers of commercial buildings using an autoencoder and classifier combination."
Quotes
"The vast body of knowledge and literature in the field demands a more systematic procedure for comparing new approaches with the previous works, which is essential for appraising the progress of research."
"DL methods are less used (19.13% comparisons in total), notwithstanding their good performances in [85, 88, 121]."