Sufficient building operational data serve as the key premise to enable the development of
reliable data-driven technologies for building energy management. Considering that …

In industrial sectors such as ship**, chemical processing, and energy production,
centrifugal pumps often experience failures due to harsh operational environments, making …

The development of interpretable deep learning methods has garnered attention in fault
diagnosis. However, the effectiveness of various interpretation methods based on different …

Operational data of building air-conditioning systems can provide a lot of useful information
for intelligent control and fault diagnosis of air-conditioning systems. This study presents a …

Online condition-monitoring techniques that are used to reveal incipient faults before
breakdowns occur are typically data-driven or model-based. We propose the use of a …

Owing to the rapid expansion of data science, data-driven methods have emerged as a
dominant trend in chiller fault detection and diagnosis (FDD). Most of these methods …

Harsh working environment not only threatens the health of the hydraulic system but also the
condition monitoring system. The latter problem will make data aberrant and disable lots of …

Abstract The Heating, Ventilation and Air Conditioning (HVAC) systems are complex and
prone to failures during operation, often leading to significant energy waste. Timely and …

The air conditioning system is a very important energy-consuming device in the field of
construction. Timely troubleshooting of air conditioning chillers is an important aspect of …