fault Identification
Adaline and FIS Techniques for Fault Identification in HV Transmission Line
... The Adaline is the one of the adaptive technique in the neural network which has used for many applications especially for fault identification in high voltage transmission line [1]. It is used for ...
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ADAPTIVE DC POWER SUPPLY AND FAULT IDENTIFICATION
... In modern world power demand is increased, so world requires a reliable and high efficient system for achieving its goals and needs. DC micro-grid is an effective of achieving reliability and high efficiency which ...
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Sensor Fault Identification in Complex Systems
... In the process control industries, one of the main works is to identify and channelize the fault sensor. The process of sensor troubleshooting is essential to increase the production flow without any interruption. ...
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Fault Identification from Web Log Files by Pattern Discovery
... even fault occurrence is high as the data increases ...of fault occurrence, the browser provides fault pages with the pages to be searched ...system, fault identification technique does ...
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Fault Identification and Islanding in DC Grid Connected PV System
... line fault that occurs under low irradiance conditions and occurring in PV arrays where blocking diode have been used is stated in ...A fault identification method based on the extended correlation ...
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Survey on Clustering for Fault identification Algorithm
... Training fault identification model requires progressed information mining calculations when the development rate of the procedure information is remarkably high and typical class information overpower ...
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A Novel Fault Identification Strategy of Electronic Transformer in Smart Substation
... system fault causing obvious oscillation to system internal ...transformer identification group is: 1) the physical and logical distance between members within a transformer group should be close enough to ...
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Fault Identification Using Sequential Components of Reactive Power
... Benmuoyal and Mahseredjian [5] presented an interesting method in which differential incremental or superimposed voltage and current quantities are used in order to determine directionality of a fault in a ...
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Wind turbine intelligent gear fault identification
... a fault development, sidebands have increased amplitude in a spec- trum, which means that the values are more distributed to- wards the tails, so the kurtosis is ...
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Design & Implementation Of Fault Identification In Underground Cables Using IOT
... cable fault from the base station in kilometers and displayed over the internet using the standard theory of Ohms ...The fault occurring at a particular distance, the respective phase along with the ...
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Knowledge Representation and Reasoning for Fault Identification in a Space Robot Arm
... Ø!ÔjßÙ;à1Õßá!Ú;û.åjé@ïjåjüájÕMõ,Þýè!ô#Ù;ãßç;åjÑzÕÛ;ÞÓ;æ~ããájÑzç&ÑzßâMç ßÚ@Þ é@Û1åjájßÕMç;Þ ÕMç@ágò0Ú;Ñzô#å!ájÚ;Ù;ógÕSÑzå!Ú;û.ãSïjåjüÛ1õ,ãâMý Õ ÔjÜ;ßÕMà1êßÕMæzáßÛ1ãÔjÕMÞÜäJà@ãé ,ÝÚ@ÜAï3î[r] ...
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Using unsupervised machine learning for fault identification in virtual machines
... The second is to perform an analysis on the system’s feature behaviour data. Features that show changes between the previous ‘good’ sample are compared to the ‘faulty’ configuration. If a change is noted, it is ...
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Fault phase selection and fault Identification in weak infeed side
... based fault phase selector will not operate satisfactory under weak infeed ...of fault phase selection for transmission lines under weak infeed ...location fault is also determined by using negative ...
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A REVIEW OF CONDITION MONITORING AND FAULT DIAGNOSIS OF GEARS
... automatic fault identification of ro- tating machine artificial neural networks is the most applied one due to its ability to adopt ...automatic identification of missing and worn teeth in gearboxes ...
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A Transient Scheme for the Identification of Fault in HVDC Transmission Line
... for fault identification, based on transients is proposed for HVDC transmission ...external fault, internal faults and type of internal fault correctly and ...the fault conditions were ...
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Machine Learning Framework For Power System Fault Detection And Classification
... secured. Fault identification and classification are the essential safety functions of transmission ...until fault currents create damage to utility facilities or property of the ...enhance ...
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Fault Feature Extraction of Rolling Bearings Based on Variational Mode Decomposition and Singular Value Entropy
... the fault characteristic signals of rolling bearings are weak and the fault identification is relatively difficult, a fault feature extraction method for rolling bearings based on variational ...
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Dynamic Fault Diagnosis in MANET with Accuracy
... In the work I proposed Dynamic Distributed Diagnosis model, which is based on Heartbeat Forward [4] dynamic fault identification model. Heartbeat- Forward model identified the faulty hosts for the partially ...
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A Literature Study on Fault Recognition in Different System
... of Fault discovery assumes a vital job in staggering expense and wellbeing basic ...Early identification of procedure flaws can help keep away from anomalous occasion ...movement. Fault ...
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Probabilistic framework for transient stability assessment of power systems with high penetration of renewable generation
... The procedure for generating the required training dataset is shown in Fig. 2. A full power system dynamic model suitable for stability studies is required, taking into consideration the connected RESs with the ...
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