J Bi, H Wang, E Yan, C Wang, K Yan, L Jiang, B Yang - Energy Reviews, 2024 - Elsevier
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 …
M Igarashi, Y Fukuyama, Y Shimasaki… - … (IPEC-Himeji 2022 …, 2022 - ieeexplore.ieee.org
This paper proposes refrigerated showcase fault detection (FD) by an Artificial Neural Network (ANN) using Maximum Correntropy Criterion (MCC) with an improved adaptive …
A Agarwal - Journal of The Institution of Engineers (India): Series B, 2022 - Springer
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 …
M Igarashi, Y Fukuyama, Y Shimasaki… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
This paper proposes refrigerated showcase fault detection by an autoencoder with the adaptive kernel size tuning (AKST) using Maximum Correntropy Criterion (MCC) and …
M Igarashi, Y Fukuyama, Y Shimasaki… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
This paper proposes refrigerated showcase fault detection by an autoencoder with coin betting and Maximum Correntropy Criterion (MCC). In actual situations, showcase data may …
S Brunner, M Reif, C Senn - International Congress on Information and …, 2024 - Springer
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 …