Gas-path diagnostics is an essential part of gas turbine (GT) condition-based maintenance
(CBM). There exists extensive literature on GT gas-path diagnostics and a variety of …

Predictive maintenance (PM) strategies are based on real-time data for diagnosis of
impending failure and prognosis of machine health. It is a proactive process, which needs …

The fault diagnosis of gas turbines plays a vital role in engine reliability and availability. The
data-driven diagnostic model has been verified useful for identifying and characterizing …

Data-driven approaches have gained increasing interests in the fault detection of wind
turbines (WTs) due to the difficulty in system modeling and the availability of sensor data …

Abstract The Heating, Ventilation, and Air conditioning (HVAC) system is a major system in
buildings for conditioning the indoor environment. Sensor data validation and fault diagnosis …

The effective fault detection of wind turbines (WTs) can greatly help to improve their
availability and reduce their operation and maintenance costs. In this context, data-driven …

Sensors are one of the crucial components in gas turbines and the failure in sensor
measurements can lead to serious problems in maintaining their safety and performance …

Gas turbines are faced with new challenges of increasing flexibility in their operation while
reducing their life cycle costs, leading to new research priorities and challenges. One of …

The increase in energy demand has led to expansion of renewable energy sources and
their integration into a more diverse energy mix. Consequently the operation of thermal …

Gas path fault diagnosis plays a critical role in the security guarantee and maintenance of
aero-engines. In this paper, an approach based on a fusion neural network under multiple …