When nuclear power plants (NPPs) are in a state of failure, they may release radioactive material into the environment. The safety NPPs must thus be maintained at high standard. Online monitoring and fault detection diagnosis (FDD) important helping NPP operators understand system provide online guidance timely manner. Here, to mitigate shortcomings process NPPs, five-level threshold, qualitati...

the paper presents a mathematical base modeling combined to modified-winding -function-approach (mwfa) for eccentricity fault detection of a round-rotor synchronous machine. for this aim, a 6-pole machine is considered, and the machine inductances are computed by mwfa in healthy and also under eccentricity fault. a numerical discrete-time method has been proposed to machine modeling in voltage-...

Fault detection and diagnostics (FDD) of district heating substations (DHS) are important activities because malfunctioning components can lead to incorrect billing and waste of energy. Although FDD has been an activate research area for nearly two decades, only a few simple tools are commonly deployed in the district energy industry. Some of the methods proposed in the literature are promising...

The air conditioning (AC) system is the primary building end-use contributor to peak demand for energy. energy consumed by this has grown as fast it in last few decades, not only residential section but also industry and transport sectors. Therefore, combat crises, urgent actions on efficiency should be taken support security. Consequently, faults AC components increase consumption due degradat...

Rapid progress in process automation and tightening quality standards result in a growing demand being placed on fault detection and diagnostics (FDD) methods to provide both speed and reliability of motor quality testing. This paper presents the findings of a decade-long research and development efforts in the field of experimental modeling technique and its practical applications for the faul...

With increasing customer demand, industry 4.0 gained a lot of interest, which is based on smart factories. In factories, robotic components are vulnerable to failure due various industrial operations such as assembly, manufacturing, and product handling. Timely fault detection diagnosis (FDD) important keep the operation smooth. Previously, only unloaded-based FDD algorithms were considered for...

Josh Wall, Ph.D. Member ASH RAE Jiaming Li, Ph.D. Sam West HV AC {}Stems typicai!J consume the largest portion of energy in buildings, particular!J in the commercial sector. It is reported that commercial buildings account for almost 20% rf the US national energy consumption, or 12% rf the national contribution to annual global greenhouse gas emissions. From 15% to 30% rf the energy waste in co...

Thermal power plants (TPPs) are critical to supplying energy society, and ensuring their safe efficient operation is a top priority. To minimize maintenance shutdowns costs, modern TPPs have adopted advanced fault detection diagnosis (FDD) techniques. These FDD approaches can be divided into three main categories: model-based, data-driven-based, statistical-based methods. Despite the practical ...

The paper presents a mathematical base modeling combined to Modified-Winding -Function-Approach (MWFA) for eccentricity fault detection of a round-rotor synchronous machine. For this aim, a 6-pole machine is considered, and the machine inductances are computed by MWFA in healthy and also under eccentricity fault. A numerical discrete-time method has been proposed to machine modeling in voltage-...

prompt detection and diagnosis of faults in industrial systems areessential to minimize the production losses, increase the safety of the operatorand the equipment. several techniques are available in the literature to achievethese objectives. this paper presents fuzzy based control and fault detection for a6/4 switched reluctance motor. the fuzzy logic control performs like a classicalproporti...