Data-Driven Fault Detection and Diagnosis in Cooling Units Using Sensor-Based Machine Learning Classification

Data-Driven Fault Detection and Diagnosis in Cooling Units Using Sensor-Based Machine Learning Classification

Precision air conditioning (PAC) systems are prone to various types of failures, leading to inefficiencies, increased energy consumption, and possible reductions in equipment performance. This study proposes an automatic real-time fault detection and diagnosis system. It classifies events as either...

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Bibliographic Details
Main Authors: Amilcar Quispe-Astorga, Roger Jesus Coaquira-Castillo, L. Walter Utrilla Mego, Julio Cesar Herrera-Levano, Yesenia Concha-Ramos, Erwin J. Sacoto-Cabrera, Edison Moreno-Cardenas
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
system cooling unit
fault detection and diagnosis
machine learning
sensors
data-driven
Online Access:https://www.mdpi.com/1424-8220/25/12/3647
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