This study provides an overview of green supply chain management (GSCM) in the context
of renewable energy sources. Thus, it establishes a green management standard with …

Large-scale heat pumps can contribute towards the decarbonisation of district heating
systems and industrial processes. Unidentified faults can have a negative impact on the …

Because of high detection accuracy, deep learning algorithms have recently become the
focus of increased attention for fault detection diagnostic (FDD) analysis of heat, ventilation …

This article reviews the current research on the development and implementation of
automated fault detection and diagnostics (AFDD) technology for building systems. This …

Data-driven methods for fault detection and diagnosis of air handling units (AHUs) have
attracted wide attention as they do not require high-level expert knowledge of the system of …

Intelligence in Industry 4.0 has led to the development of smart buildings with various control
systems for data collection, efficient optimization, and fault detection and diagnosis (FDD) …

This is the second part of a study on diagnostic Bayesian networks (DBNs)-based method
for diagnosing faults in air handling units (AHUs) in buildings. In this part, 4 DBNs are …

While the emphasis of fault detection and diagnostic (FDD) research has been on hard faults
(eg, stuck/leaking/broken valve or damper), soft faults or, in general, human errors account …

Current temperature levels in European district heating networks are still too high with
respect to future conditions as customer heat demands decrease and new possible heat …

Sensors are the key information source for fault detection and diagnostics (FDD) in
buildings. However, sensors are often not properly designed, installed, calibrated, located …