Abnormal operation of HVAC systems can result in an increase in energy usage as well as
poor indoor air quality, thermal discomfort, and low productivity. Building automated systems …

This review study examines the latest research and developments in the fault detection and
diagnostics of Heating Ventilation and Air Conditioning (HVAC) systems. This review …

Recent developments in maintenance modelling fueled by data-based approaches such as
machine learning (ML), have enabled a broad range of applications. In the automotive …

Data-driven methods have prominently featured in the progressive research and
development of modern condition monitoring systems for electrical machines. These …

The emerging concept of digital twins outlines the pathway towards intelligent buildings.
Although abundant building data carries an overwhelming amount of information, if not well …

With increase of practical power system complexity, power system online stability
assessment and control is more and more important. Application of the traditional model …

The rolling bearing is the key component of rotating machinery, and fault diagnosis for
rolling bearings can ensure the safe operation of rotating machinery. Fault diagnosis …

Smart manufacturing (SM) systems utilize run-time data to improve productivity via intelligent
decision-making and analysis mechanisms on both machine and system levels. The …

In this study, the open‐circuit faults diagnosis and location issue of the neutral‐point‐
clamped (NPC) inverters are analysed. A novel fault diagnosis approach based on …

Fast and efficient fault monitoring and diagnostics methods are essential for fault diagnosis
and prognosis tasks in Health Monitoring Systems. These tasks are even more complicated …