MULTIPOINT VOLTAGE DISTURBANCE IDENTIFICATION USING NEURAL NETWORK
Voltage disturbance, as well as other power quality issues which include electromagnetic interference phenomena, are dangerous power quality issues that can cause sensitive equipment to fail, especially in industrial or hospital environments. Disturbance voltage identfy has a good impact and importa...
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id-itb.:697992022-11-29T11:05:46ZMULTIPOINT VOLTAGE DISTURBANCE IDENTIFICATION USING NEURAL NETWORK Ramdan Febriana H., Mohamad Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Indonesia Theses Voltage disturbance, electromagnetic interference (EMI), power quality, multipoint measurement, neural network INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/69799 Voltage disturbance, as well as other power quality issues which include electromagnetic interference phenomena, are dangerous power quality issues that can cause sensitive equipment to fail, especially in industrial or hospital environments. Disturbance voltage identfy has a good impact and important role to mitigate poor of power quality disturbances because of their negative impact on the equipment. The Neural network is used to identify voltage disturbance. This research presents a combination of identification of voltage disturbance by using a neural network with a multipoint measurement method. This method simplifies the identification of voltage disturbance at multiple point using only one measurement. text |
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Institut Teknologi Bandung |
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Asia |
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Indonesia Indonesia |
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Institut Teknologi Bandung |
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Indonesia |
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Teknik (Rekayasa, enjinering dan kegiatan berkaitan) |
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Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Ramdan Febriana H., Mohamad MULTIPOINT VOLTAGE DISTURBANCE IDENTIFICATION USING NEURAL NETWORK |
| description |
Voltage disturbance, as well as other power quality issues which include electromagnetic interference phenomena, are dangerous power quality issues that can cause sensitive equipment to fail, especially in industrial or hospital environments. Disturbance voltage identfy has a good impact and important role to mitigate poor of power quality disturbances because of their negative impact on the equipment. The Neural network is used to identify voltage disturbance. This research presents a combination of identification of voltage disturbance by using a neural network with a multipoint measurement method. This method simplifies the identification of voltage disturbance at multiple point using only one measurement. |
| format |
Theses |
| author |
Ramdan Febriana H., Mohamad |
| author_facet |
Ramdan Febriana H., Mohamad |
| author_sort |
Ramdan Febriana H., Mohamad |
| title |
MULTIPOINT VOLTAGE DISTURBANCE IDENTIFICATION USING NEURAL NETWORK |
| title_short |
MULTIPOINT VOLTAGE DISTURBANCE IDENTIFICATION USING NEURAL NETWORK |
| title_full |
MULTIPOINT VOLTAGE DISTURBANCE IDENTIFICATION USING NEURAL NETWORK |
| title_fullStr |
MULTIPOINT VOLTAGE DISTURBANCE IDENTIFICATION USING NEURAL NETWORK |
| title_full_unstemmed |
MULTIPOINT VOLTAGE DISTURBANCE IDENTIFICATION USING NEURAL NETWORK |
| title_sort |
multipoint voltage disturbance identification using neural network |
| url |
https://digilib.itb.ac.id/gdl/view/69799 |
| _version_ |
1822991149227311104 |