ANJALI CHATTERJEE - Academia.edu (original) (raw)

Papers by ANJALI CHATTERJEE

Research paper thumbnail of Health Monitoring Of Power Transformers By Dissolved Gas Analysis Using Regression Method And Study The Effect Of Filtration On Oil

Economically transformers constitute one of the largest investments in a Power system. For this r... more Economically transformers constitute one of the largest investments in a Power system. For this reason, transformer condition assessment and management is a high priority task. If a transformer fails, it would have a significant negative impact on revenue and service reliability. Monitoring the state of health of power transformers has traditionally been carried out using laboratory Dissolved Gas Analysis (DGA) tests performed at periodic intervals on the oil sample, collected from the transformers. DGA of transformer oil is the single best indicator of a transformer-s overall condition and is a universal practice today, which started somewhere in the 1960s. Failure can occur in a transformer due to different reasons. Some failures can be limited or prevented by maintenance. Oil filtration is one of the methods to remove the dissolve gases and prevent the deterioration of the oil. In this paper we analysis the DGA data by regression method and predict the gas concentration in the oi...

Research paper thumbnail of Alignment unit for a fruchtsortier- and -klassifiziermaschine

Research paper thumbnail of Orientation Unit for a Fruit Sorting and Grading Machine

Research paper thumbnail of Diabetic Retinopathy Image Enhancement using CLAHE by Programming TMS320C6416

Diabetic retinopathy is one of the leading complication of diabetes and also one of the leading p... more Diabetic retinopathy is one of the leading complication of diabetes and also one of the leading preventable blindness. Early diagnosis and treatment may prevent such condition or in other words, annoyance of the disease may be overcome. The fundus images produced by automated fundus camera are often noisy making it difficult for doctors to precisely detect the abnormalities in fundus images. In the present paper, we propose to use vessel extraction of Retinal image enhancement and implemented in Raspberry Pi board using opencv library for faster execution and cost effective processing unit which helps during mass screening of diabetic retinopathy. The effectiveness of the proposed techniques is evaluated using different metrics and Micro-aneurysms. Finally, a considerable improvement in the enhancement of the Diabetic Retinopathy images is achieved.

Research paper thumbnail of On Line Monitoring of Power Transfomer by Using Gas Sensors Manufactured from Nano-Particles

Power transformers are key elements in a power system. Hence their maintenance is essential for u... more Power transformers are key elements in a power system. Hence their maintenance is essential for uninterrupted power supply. In line with this demand a portable, on-line diagnostic analyzer is designed which is able to collect temperature data and quantify the concentration of some of the dissolved gases in transformer oil with the help of an non-invasive sensor fabricated by nanotechnology methodology. After conditioning the signals appropriately, the data are transmitted to the substation for storage. The computer also has the ability to remotely access the data for analysis and assess the health of the transformers. From the data of three gases, different faults, if they are occurring inside the transformer, can be predicted. The fault diagnosis is done by dissolved gas analysis (DGA), which is one of the proven methods widely used during the last two decades.

Research paper thumbnail of Online monitoring of transformers using gas sensor fabricated by nanotechnology

International Transactions on Electrical Energy Systems, 2012

Power transformers are key elements in a power system. Hence, their maintenance is essential for ... more Power transformers are key elements in a power system. Hence, their maintenance is essential for uninterrupted power supply. In line with this demand, a portable, online diagnostic analyzer is designed which is able to collect temperature data and quantify the concentration of some of the dissolved gases in transformer oil with the help of a non-invasive sensor fabricated by nanotechnology methodology. After conditioning the signals appropriately, the data are transmitted to the substation for storage. The computer also has the ability to remotely access the data for analysis and assess the health of the transformers. From the data of three gases, different faults, if they are occurring inside the transformer, can be predicted. The fault diagnosis is done by dissolved gas analysis, which is one of the proven methods widely used during the last two decades. Copyright

Research paper thumbnail of Health Monitoring Of Power Transformers By Dissolved Gas Analysis Using Regression Method And Study The Effect Of Filtration On Oil

Economically transformers constitute one of the largest investments in a Power system. For this r... more Economically transformers constitute one of the largest investments in a Power system. For this reason, transformer condition assessment and management is a high priority task. If a transformer fails, it would have a significant negative impact on revenue and service reliability. Monitoring the state of health of power transformers has traditionally been carried out using laboratory Dissolved Gas Analysis (DGA) tests performed at periodic intervals on the oil sample, collected from the transformers. DGA of transformer oil is the single best indicator of a transformer-s overall condition and is a universal practice today, which started somewhere in the 1960s. Failure can occur in a transformer due to different reasons. Some failures can be limited or prevented by maintenance. Oil filtration is one of the methods to remove the dissolve gases and prevent the deterioration of the oil. In this paper we analysis the DGA data by regression method and predict the gas concentration in the oi...

Research paper thumbnail of Alignment unit for a fruchtsortier- and -klassifiziermaschine

Research paper thumbnail of Orientation Unit for a Fruit Sorting and Grading Machine

Research paper thumbnail of Diabetic Retinopathy Image Enhancement using CLAHE by Programming TMS320C6416

Diabetic retinopathy is one of the leading complication of diabetes and also one of the leading p... more Diabetic retinopathy is one of the leading complication of diabetes and also one of the leading preventable blindness. Early diagnosis and treatment may prevent such condition or in other words, annoyance of the disease may be overcome. The fundus images produced by automated fundus camera are often noisy making it difficult for doctors to precisely detect the abnormalities in fundus images. In the present paper, we propose to use vessel extraction of Retinal image enhancement and implemented in Raspberry Pi board using opencv library for faster execution and cost effective processing unit which helps during mass screening of diabetic retinopathy. The effectiveness of the proposed techniques is evaluated using different metrics and Micro-aneurysms. Finally, a considerable improvement in the enhancement of the Diabetic Retinopathy images is achieved.

Research paper thumbnail of On Line Monitoring of Power Transfomer by Using Gas Sensors Manufactured from Nano-Particles

Power transformers are key elements in a power system. Hence their maintenance is essential for u... more Power transformers are key elements in a power system. Hence their maintenance is essential for uninterrupted power supply. In line with this demand a portable, on-line diagnostic analyzer is designed which is able to collect temperature data and quantify the concentration of some of the dissolved gases in transformer oil with the help of an non-invasive sensor fabricated by nanotechnology methodology. After conditioning the signals appropriately, the data are transmitted to the substation for storage. The computer also has the ability to remotely access the data for analysis and assess the health of the transformers. From the data of three gases, different faults, if they are occurring inside the transformer, can be predicted. The fault diagnosis is done by dissolved gas analysis (DGA), which is one of the proven methods widely used during the last two decades.

Research paper thumbnail of Online monitoring of transformers using gas sensor fabricated by nanotechnology

International Transactions on Electrical Energy Systems, 2012

Power transformers are key elements in a power system. Hence, their maintenance is essential for ... more Power transformers are key elements in a power system. Hence, their maintenance is essential for uninterrupted power supply. In line with this demand, a portable, online diagnostic analyzer is designed which is able to collect temperature data and quantify the concentration of some of the dissolved gases in transformer oil with the help of a non-invasive sensor fabricated by nanotechnology methodology. After conditioning the signals appropriately, the data are transmitted to the substation for storage. The computer also has the ability to remotely access the data for analysis and assess the health of the transformers. From the data of three gases, different faults, if they are occurring inside the transformer, can be predicted. The fault diagnosis is done by dissolved gas analysis, which is one of the proven methods widely used during the last two decades. Copyright