نتایج جستجو برای: electric fault location
تعداد نتایج: 425703 فیلتر نتایج به سال:
reflection and refraction of em signals at both horizontal and vertical interfaces separate media of different electrical parameters, geoelectromagnetic methods have been developed and employed to recognize the geological features and particularly fault zones in many regions. to achieve higher lateral resolution and also greater depth penetration, the mt method is one of the most effective elec...
In more electric aircrafts (MEA) the electric power network is important for the reliability. To prevent severe faults it is the key issue to identify the faults in the early stage before a complete failure happens. In this paper an early stage fault detection method using wavelet multi-resolution analysis (MRA) for a regulated buck DC-DC converter is studied. Specifically, the electrolyte inpu...
This technical paper deals with the transition performance improvement of a sensor fault-tolerant controller devoted to Electric (EV) or Hybrid Electric Vehicles (HEV). Indeed, improvements are brought over a previously developed technique that exhibit abrupt changes in the torque if a sensor fault is detected and after a transition from a control technique to another one [1]. The Fault-Toleran...
Run-time fault location in Field-Programmable Gate Arrays (FPGAs) is important because the resulting diagnostic information is used to reconfigure the FPGA for tolerating permanent faults. In order to minimize the system downtime and increase availability, a fault location technique with very short diagnostic latency is desired. In this paper, we present a fast approach for run-time FPGA fault ...
In this paper, a new method for detection and fault location and classification in MTDC solar microgrid is presented. Some issues such as expanding renewable energy sources and DC loads and efforts to increase power quality and reduce the environmental impact of electricity generation have led to the expansion of solar networks. Identifying the types and locations of faults is important to ensu...
This paper outlines a hybrid approach of neuro-fuzzy based learning and classification approach based on the online learning systems. The effect of fault diagnosis for the suggested fault location tool is evaluated over the conventional fault diagnosis based approaches. The method of fault location based on the conventional offline neuro controller approach is compared with the suggested hybrid...
We study the problem of fault diagnosis in the context of timed discrete event systems (TDES). If an incorrect behaviour of the system is detected, the second phase denotes to the fault location. The aim of the fault location is to find the cause of a system dysfunction. Proposed method for fault location works with the timed model (timed automata) and is based on a model-checking technique. Th...
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