Telecommunication companies have received a great deal of research attention, which have many advantages such as low cost, higher qualification, simple installation and maintenance, and high reliability. However, the using of technical maintenance approaches in Telecommunication companies could improve system reliability and users' satisfaction from Asymmetric digital subscriber line (ADSL) ser...

Biochemical processes are gaining industrial importance because of their inherent advantages like mild operating conditions and versatility of the processes which mean lower operating costs in terms of lesser energy requirements and a number of industrially important products that could be made from a general process setup. These features have made the biochemical processes the target of intens...

In view of the increase in number Unmanned Aerial Vehicles (UAVs) commercial and private sectors, it is imperative to make sure that such systems are safe, thus resilient faults failures. This paper considers numerical design practical implementation a linear parameter-varying (LPV) sliding mode observer for Fault Detection Diagnosis (FDD) quadrotor minidrone. Starting from nonlinear model mini...

Advanced fault detection and accommodation schemes are required for ensuring efficient and reliable operation of modern wind turbines. This paper presents a novel approach in designing a fault detection and diagnosis (FDD) and fault-tolerant control (FTC) scheme for a wind turbine using fuzzy modeling, identification and control techniques. First, an improved gain-scheduled proportional-integra...

The motor drive system plays a significant role in the safety of electric vehicles as bridge for power transmission. Meanwhile, to enhance efficiency and stability system, more studies based on AI technology are devoted fault detection diagnosis (FDD) system. This article reviews application techniques FDD recent years. AI-based is divided into two main steps: feature extraction classification....

this paper addresses the design of an observer-based fault diagnosis scheme, which is applied to some of the sensors and actuators of a wind turbine benchmark model. the methodology is based on a modified sliding mode observer (smo) that allows accurate reconstruction of multiple sensor or actuator faults occurring simultaneously. the faults are reconstructed using the equivalent output error i...

Data-driven fault detection and diagnosis system (FDD) has been proven as simple yet powerful to identify soft abrupt faults in the air conditioning system, leading energy saving. However, challenge is obtain reliable operation data from actual building. Therefore, a lab-scaled centralized chilled water was successfully developed this paper. All necessary sensors were installed generate for dat...

Combining a simplified on-board turbo-shaft model with sensor fault diagnostic logic, a model-based sensor fault diagnosis method is proposed. The existing fault diagnosis method for turbo-shaft engine key sensors is mainly based on a double redundancies technique, and this can't be satisfied in some occasions as lack of judgment. The simplified on-board model provides the analytical third chan...

The rapid development of photovoltaic (PV) technology and the growing number size PV power plants require increasingly efficient intelligent health monitoring strategies to ensure reliable operation high energy availability. Among various techniques, Artificial Neural Network (ANN) has exhibited functional capacity perform identification classification faults. In present review, a systematic st...

Efficient and robust fault detection and diagnosis (FDD) can potentially play an important role in developing building management systems (BMS) for high performance buildings. Our research indicates that, in comparison to traditional model-based or data-driven methods, the combination of time series modeling and machine learning techniques produces higher accuracy and lower false alarm rates in...