Heating, ventilation, and air conditioning (HVAC) systems are a popular research topic
because buildings' energy is mostly used for heating and/or cooling. These systems heavily …

Recent studies show that artificial intelligence (AI), such as machine learning and deep
learning, models can be adopted and have advantages in fault detection and diagnosis for …

The electric machines are the elements most used at an industry level, and they represent
the major power consumption of the productive processes. Particularly speaking, among all …

In recent years, increasing the energy efficiency of the building has become one of the
objectives of facility managers. In this sense, monitoring-based commissioning and …

In order to meet the growing demand for effective Automated Fault Detection and
Diagnostics (AFDD) for HVAC systems, innovative approaches are needed to address …

This paper proposes refrigerated showcase fault detection (FD) by an Artificial Neural
Network (ANN) using Maximum Correntropy Criterion (MCC) with an improved adaptive …

Studies have shown that heating ventilation and air-conditioning (HVAC) systems are the
major contributors to the high energy consumption of buildings. This has some serious …

This paper proposes refrigerated showcase fault detection by an autoencoder with the
adaptive kernel size tuning (AKST) using Maximum Correntropy Criterion (MCC) and …

This paper proposes refrigerated showcase fault detection by an autoencoder with coin
betting and Maximum Correntropy Criterion (MCC). In actual situations, showcase data may …

Safety-critical systems require rapid detection of abnormal behavior to prevent damage and
reduce downtime. Monitoring only individual data inputs above a threshold may be …