Pub Date : 2015-07-09DOI: 10.1109/IIC.2015.7150972
Md Umar Hashmi, Jayesh G. Priolkar
Accurate metering and billing of actual energy consumed by consumers is integral to commercial management of an electric utility. An aggregate technical and commercial loss in India is around 27% and this is very high in spite of various reforms and measures by electricity boards across country. One of the significant components of these losses is Theft. Electricity theft is a grave problem across the globe. Improvement in aggregate technical and commercial losses in phased manner is very important for financial and technical viability of distribution companies in deregulated environment. The major challenge is to identify the location of the theft and estimate the amount of energy being stolen. Research to identify power pilferages and remedial measures to overcome them in electricity sector has been going on in recent years. The Paper proposes a conceptual approach to get both the approximate location and estimate of energy theft at that location. With both information available in real time, it will completely change the landscape of electrical sector across the nation.
{"title":"Anti-theft energy metering for smart electrical distribution system","authors":"Md Umar Hashmi, Jayesh G. Priolkar","doi":"10.1109/IIC.2015.7150972","DOIUrl":"https://doi.org/10.1109/IIC.2015.7150972","url":null,"abstract":"Accurate metering and billing of actual energy consumed by consumers is integral to commercial management of an electric utility. An aggregate technical and commercial loss in India is around 27% and this is very high in spite of various reforms and measures by electricity boards across country. One of the significant components of these losses is Theft. Electricity theft is a grave problem across the globe. Improvement in aggregate technical and commercial losses in phased manner is very important for financial and technical viability of distribution companies in deregulated environment. The major challenge is to identify the location of the theft and estimate the amount of energy being stolen. Research to identify power pilferages and remedial measures to overcome them in electricity sector has been going on in recent years. The Paper proposes a conceptual approach to get both the approximate location and estimate of energy theft at that location. With both information available in real time, it will completely change the landscape of electrical sector across the nation.","PeriodicalId":155838,"journal":{"name":"2015 International Conference on Industrial Instrumentation and Control (ICIC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123326974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-07-09DOI: 10.1109/IIC.2015.7150737
M. Kumar, Subhojit Ghosh, S. Das
Linear circuits and systems are generally described by traditional differential equations and integer order transfer functions based on the assumption that the dynamics are lumped and time invariant. However, as compared to the conventional integer order calculus, many dynamical systems are better represented by fractional calculus with interaction among the variables modelled by fractional integration and/or fractional differentiation. The present work proposes a generalized approach for the identification of fractional order systems in frequency domain using experimental data. To achieve the same, the system identification task has been framed as an optimization problem and solved using seeker optimization algorithm. The algorithm seeks to attain a set of system parameters for which the deviation between the simulated response of the identified system and experimental data is minimized. The proposed approach has been validated on a set of electrical circuits with varying configuration. The simulation and experimental results reveals that all of the test circuits are better represented by fractional order model, over a wide range of frequency.
{"title":"Identification of fractional order circuits from frequency response data using seeker optimization algorithm","authors":"M. Kumar, Subhojit Ghosh, S. Das","doi":"10.1109/IIC.2015.7150737","DOIUrl":"https://doi.org/10.1109/IIC.2015.7150737","url":null,"abstract":"Linear circuits and systems are generally described by traditional differential equations and integer order transfer functions based on the assumption that the dynamics are lumped and time invariant. However, as compared to the conventional integer order calculus, many dynamical systems are better represented by fractional calculus with interaction among the variables modelled by fractional integration and/or fractional differentiation. The present work proposes a generalized approach for the identification of fractional order systems in frequency domain using experimental data. To achieve the same, the system identification task has been framed as an optimization problem and solved using seeker optimization algorithm. The algorithm seeks to attain a set of system parameters for which the deviation between the simulated response of the identified system and experimental data is minimized. The proposed approach has been validated on a set of electrical circuits with varying configuration. The simulation and experimental results reveals that all of the test circuits are better represented by fractional order model, over a wide range of frequency.","PeriodicalId":155838,"journal":{"name":"2015 International Conference on Industrial Instrumentation and Control (ICIC)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134027545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-07-09DOI: 10.1109/IIC.2015.7150763
Sudeep D. Thepade, Rajat H. Garg, Sumit A. Ghewade, Prasad A. Jagdale, Nilesh M. Mahajan
Image colorization is method of adding colors to a graytarget image from multichrome source image. The proposed method performs automatic colorization using LBG codebook generation algorithm with assorted similarity measures for mapping of grayimage pixels with relatively analogous multichrome image pixels. The detailed performance assessment of the different similarity measures on the quality of colorization is done here. Experimentation is done with a test bed having 28 images. The performance comparison of the similarity measures have shown that the Canberra distance and Manhattan distance out performs other considered similarity measures for LBG based colorization technique. Higher codebook sizes give better colorization quality. Hamming distance and Wave Hedges distance are not found suitable for gray image colorization.
{"title":"Performance assessment of assorted similarity measures in gray image colorization using LBG vector quantization algorithm","authors":"Sudeep D. Thepade, Rajat H. Garg, Sumit A. Ghewade, Prasad A. Jagdale, Nilesh M. Mahajan","doi":"10.1109/IIC.2015.7150763","DOIUrl":"https://doi.org/10.1109/IIC.2015.7150763","url":null,"abstract":"Image colorization is method of adding colors to a graytarget image from multichrome source image. The proposed method performs automatic colorization using LBG codebook generation algorithm with assorted similarity measures for mapping of grayimage pixels with relatively analogous multichrome image pixels. The detailed performance assessment of the different similarity measures on the quality of colorization is done here. Experimentation is done with a test bed having 28 images. The performance comparison of the similarity measures have shown that the Canberra distance and Manhattan distance out performs other considered similarity measures for LBG based colorization technique. Higher codebook sizes give better colorization quality. Hamming distance and Wave Hedges distance are not found suitable for gray image colorization.","PeriodicalId":155838,"journal":{"name":"2015 International Conference on Industrial Instrumentation and Control (ICIC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128576221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-07-09DOI: 10.1109/IIC.2015.7150759
K. Sharma, T. P. Sharma
In wireless sensor networks (WSNs), sensor nodes are deployed densely in large numbers to increase the quality of services (QoS). However, QoS is significantly affected by faults in such networks. The probability of faults in WSNs increases with increase of sensor nodes. In order to provide better QoS, it is essential that faulty nodes should be diagnosed and handled timely without affecting the underlying work of the network. In this paper, our main focus is on diagnosing transient and permanent fault by communicating an optimal number of messages. We propose a mechanism to diagnose such faults without degrading the throughput of WSNs. The proposed approach is reactive in nature, which during fault diagnosis generates traffic smoothly in the network due to which the network never degrades its performance. Scheme also allows faults to occur during diagnosis process. The result shows that our scheme diagnoses faults correctly and efficiently and is able to maintain the desired throughput during fault diagnosis.
{"title":"A throughput descent and energy efficient mechanism for fault detection in WSNs","authors":"K. Sharma, T. P. Sharma","doi":"10.1109/IIC.2015.7150759","DOIUrl":"https://doi.org/10.1109/IIC.2015.7150759","url":null,"abstract":"In wireless sensor networks (WSNs), sensor nodes are deployed densely in large numbers to increase the quality of services (QoS). However, QoS is significantly affected by faults in such networks. The probability of faults in WSNs increases with increase of sensor nodes. In order to provide better QoS, it is essential that faulty nodes should be diagnosed and handled timely without affecting the underlying work of the network. In this paper, our main focus is on diagnosing transient and permanent fault by communicating an optimal number of messages. We propose a mechanism to diagnose such faults without degrading the throughput of WSNs. The proposed approach is reactive in nature, which during fault diagnosis generates traffic smoothly in the network due to which the network never degrades its performance. Scheme also allows faults to occur during diagnosis process. The result shows that our scheme diagnoses faults correctly and efficiently and is able to maintain the desired throughput during fault diagnosis.","PeriodicalId":155838,"journal":{"name":"2015 International Conference on Industrial Instrumentation and Control (ICIC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130827111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-07-09DOI: 10.1109/IIC.2015.7150996
N. Shribala, P. Srihari, B. C. Jinaga
Spectrum sensing is the process of identifying idle spectrums and utilizing them by the secondary users such that there is no inference with primary users. Cognitive Radio Network's (CRN) primary challenge is sensing of idle spectrum and efficiently handling that spectrum by the secondary user nodes. The effective and efficient spectrum sensing can achieve by enabling cooperation between nodes to share the information about spectrum state in cognitive radio networks. But there is a possibility of Spectrum Sensing Data Falsification (SSDF) attacks by malicious or selfish CRN nodes. This paper discusses the technique to assess the credibility of the neighbor nodes towards spectrum state verification process. The method referred as Intended Inference Lenient Secure Spectrum Sensing By prominence state verification (PSV) that devised in this paper aimed to prevent the intended data falsification by selfish or malicious neighbor nodes in cognitive radio networks. The simulations build on custom testbed with usual network conditions and SSDF attacks indicating that the devised model is greatly brought down the error rate of spectrum decision and at the same time improved the detection rate of malicious cognitive nodes.
{"title":"Intended inference lenient Secure Spectrum Sensing by prominence state verification","authors":"N. Shribala, P. Srihari, B. C. Jinaga","doi":"10.1109/IIC.2015.7150996","DOIUrl":"https://doi.org/10.1109/IIC.2015.7150996","url":null,"abstract":"Spectrum sensing is the process of identifying idle spectrums and utilizing them by the secondary users such that there is no inference with primary users. Cognitive Radio Network's (CRN) primary challenge is sensing of idle spectrum and efficiently handling that spectrum by the secondary user nodes. The effective and efficient spectrum sensing can achieve by enabling cooperation between nodes to share the information about spectrum state in cognitive radio networks. But there is a possibility of Spectrum Sensing Data Falsification (SSDF) attacks by malicious or selfish CRN nodes. This paper discusses the technique to assess the credibility of the neighbor nodes towards spectrum state verification process. The method referred as Intended Inference Lenient Secure Spectrum Sensing By prominence state verification (PSV) that devised in this paper aimed to prevent the intended data falsification by selfish or malicious neighbor nodes in cognitive radio networks. The simulations build on custom testbed with usual network conditions and SSDF attacks indicating that the devised model is greatly brought down the error rate of spectrum decision and at the same time improved the detection rate of malicious cognitive nodes.","PeriodicalId":155838,"journal":{"name":"2015 International Conference on Industrial Instrumentation and Control (ICIC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126350332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-07-09DOI: 10.1109/IIC.2015.7151006
Sudeep D. Thepade, Pritam H. Patil
In the current era, most of the digital information is in the form of multimedia with a giant share of videos. Videos do have audio and visual content where the visual content has number of frames put in a sequence. Most of the consecutive frames do have very little discriminative contents. In video summarization process, several frames containing similar information do need to get processed. This leads to redundant slow processing speed and complexity, time consumption. Video summarization using key frames can ease the speed up of video processing. In this paper, novel key frames extraction method is proposed with Kekere's Proportionate Error (KPE) codebook generation techniques of vector quantization with ten different codebook sizes and two color spaces (RGB and KLUV). Experimentation done with help of the test bed of videos has shown that higher codebook sizes of KPE have given better completeness in key frame extraction for video summarization. The LUV color space with Euclidean Distance with 512 codebook size gives best performance. In square chord Distance, Mean Square Error and Euclidean Distance LUV color space gives better completeness than RGB color space for proposed KPE based video Key frame Extraction.
{"title":"Novel video keyframe extraction using KPE vector quantization with assorted similarity measures in RGB and LUV color spaces","authors":"Sudeep D. Thepade, Pritam H. Patil","doi":"10.1109/IIC.2015.7151006","DOIUrl":"https://doi.org/10.1109/IIC.2015.7151006","url":null,"abstract":"In the current era, most of the digital information is in the form of multimedia with a giant share of videos. Videos do have audio and visual content where the visual content has number of frames put in a sequence. Most of the consecutive frames do have very little discriminative contents. In video summarization process, several frames containing similar information do need to get processed. This leads to redundant slow processing speed and complexity, time consumption. Video summarization using key frames can ease the speed up of video processing. In this paper, novel key frames extraction method is proposed with Kekere's Proportionate Error (KPE) codebook generation techniques of vector quantization with ten different codebook sizes and two color spaces (RGB and KLUV). Experimentation done with help of the test bed of videos has shown that higher codebook sizes of KPE have given better completeness in key frame extraction for video summarization. The LUV color space with Euclidean Distance with 512 codebook size gives best performance. In square chord Distance, Mean Square Error and Euclidean Distance LUV color space gives better completeness than RGB color space for proposed KPE based video Key frame Extraction.","PeriodicalId":155838,"journal":{"name":"2015 International Conference on Industrial Instrumentation and Control (ICIC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128419168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-07-09DOI: 10.1109/IIC.2015.7150814
Tejaswini P. Deshmukh, P. Deshmukh, P. Dakhole
The Fast Fourier Transform can be determined in Complex field and Galois field. The paper suggests the architecture for finding Fast Fourier Transform over a Galois field. This method uses the advantage of Cyclotomic decomposition. Basically decomposition of the original polynomial into a sum of linearized polynomial is done and then evaluated at a set of basis points. The Fast Fourier Transform methods can be capably used in implementations of discrete Fourier transforms over finite field, which have extensive applications in cryptography and error control codes. The method is becoming popular because of its low computational complexity. In this paper the hardware design and implementation of Cyclotomic fast Fourier transform architecture over finite field GF(24) is described.
{"title":"Design of cyclotomic Fast Fourier Transform architecture over Galois field for 15 point DFT","authors":"Tejaswini P. Deshmukh, P. Deshmukh, P. Dakhole","doi":"10.1109/IIC.2015.7150814","DOIUrl":"https://doi.org/10.1109/IIC.2015.7150814","url":null,"abstract":"The Fast Fourier Transform can be determined in Complex field and Galois field. The paper suggests the architecture for finding Fast Fourier Transform over a Galois field. This method uses the advantage of Cyclotomic decomposition. Basically decomposition of the original polynomial into a sum of linearized polynomial is done and then evaluated at a set of basis points. The Fast Fourier Transform methods can be capably used in implementations of discrete Fourier transforms over finite field, which have extensive applications in cryptography and error control codes. The method is becoming popular because of its low computational complexity. In this paper the hardware design and implementation of Cyclotomic fast Fourier transform architecture over finite field GF(24) is described.","PeriodicalId":155838,"journal":{"name":"2015 International Conference on Industrial Instrumentation and Control (ICIC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130729281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-28DOI: 10.1109/IIC.2015.7150869
Sailendu Biswal, G. Sabareesh
Wind energy is an emerging, clean and renewable source of energy. It is estimated that by year 2035, wind energy will be generating more than 25% of the world's electricity according to International Energy Agency (IEA). With the increase in demand for wind energy, its maintenance issues are becoming more prominent. The scheduled maintenance is more economical than unscheduled repair resulting from failure. So a continuous condition monitoring of various critical components like bearings, gearbox, and shafts of wind turbine is essential in order to enable predictive maintenance. 10% of the total failure is contributed by the bearings, shaft and gear box failures, but the downtime is more than 50% of the total downtime. This paper discusses the development of a bench-top test rig which is designed to mimic the operating condition of an actual wind turbine and use it for monitoring its condition so as to diagnose the incipient faults in its critical components using latest machine learning algorithms such as Artificial Neural Network (ANN).
{"title":"Design and development of a wind turbine test rig for condition monitoring studies","authors":"Sailendu Biswal, G. Sabareesh","doi":"10.1109/IIC.2015.7150869","DOIUrl":"https://doi.org/10.1109/IIC.2015.7150869","url":null,"abstract":"Wind energy is an emerging, clean and renewable source of energy. It is estimated that by year 2035, wind energy will be generating more than 25% of the world's electricity according to International Energy Agency (IEA). With the increase in demand for wind energy, its maintenance issues are becoming more prominent. The scheduled maintenance is more economical than unscheduled repair resulting from failure. So a continuous condition monitoring of various critical components like bearings, gearbox, and shafts of wind turbine is essential in order to enable predictive maintenance. 10% of the total failure is contributed by the bearings, shaft and gear box failures, but the downtime is more than 50% of the total downtime. This paper discusses the development of a bench-top test rig which is designed to mimic the operating condition of an actual wind turbine and use it for monitoring its condition so as to diagnose the incipient faults in its critical components using latest machine learning algorithms such as Artificial Neural Network (ANN).","PeriodicalId":155838,"journal":{"name":"2015 International Conference on Industrial Instrumentation and Control (ICIC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117122135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-28DOI: 10.1109/IIC.2015.7150838
R. Anand, S. Shrivastava, M. Trikande
Developing vehicles with semi-active suspension by replacing passive system has been a great interest in the field of automotive industry. Maintaining stability and performance in spite of uncertainties in working environment is a prior concern for designing successful control system. Skyhook control policy is adapted for giving good ride performance. This paper introduces an optimum method for controlling vibration of semi-active suspension system in a quarter car system. Fuzzy logic controller developed on the basis of skyhook algorithm is compared with on-off and continuous skyhook control in time domain. The results show that Fuzzy logic gives better vibration control and along with PID velocity control gives better ride comfort than its counterparts.
{"title":"Modelling and analysis of skyhook and Fuzzy logic controls in semi-active suspension system","authors":"R. Anand, S. Shrivastava, M. Trikande","doi":"10.1109/IIC.2015.7150838","DOIUrl":"https://doi.org/10.1109/IIC.2015.7150838","url":null,"abstract":"Developing vehicles with semi-active suspension by replacing passive system has been a great interest in the field of automotive industry. Maintaining stability and performance in spite of uncertainties in working environment is a prior concern for designing successful control system. Skyhook control policy is adapted for giving good ride performance. This paper introduces an optimum method for controlling vibration of semi-active suspension system in a quarter car system. Fuzzy logic controller developed on the basis of skyhook algorithm is compared with on-off and continuous skyhook control in time domain. The results show that Fuzzy logic gives better vibration control and along with PID velocity control gives better ride comfort than its counterparts.","PeriodicalId":155838,"journal":{"name":"2015 International Conference on Industrial Instrumentation and Control (ICIC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121097707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-28DOI: 10.1109/IIC.2015.7150927
R. K. Dhatrak, R. Nema, S. K. Dash, D. Deshpande
Induction motor can be run as variable speed a. c. drive under the umbrella of recent technology advancements. Pulse width modulated (PWM) inverters are used to feed drive efficiently. Problems observed due to conventional inverter like: common mode voltage (CMV), total harmonic distortion (THD) in line voltage waveform, electromagnetic interference, inverter induced bearing current and shaft voltage owing to high rate of rise of voltage and more carrier frequency. These barriers are reduced using multilevel inverters. This paper proposed to minimize these shortcomings using a five level diode clamped sinusoidal pulse width modulation (SPWM) inverter. A model is simulated using MATLAB simulink for conventional and five level inverter fed induction motor using phase disposition (PD), phase opposite disposition (POD) and alternate phase opposite disposition (APOD) techniques.
{"title":"Mitigation of bearing current and shaft voltage using five level inverter in three phase induction motor drive with SPWM technique","authors":"R. K. Dhatrak, R. Nema, S. K. Dash, D. Deshpande","doi":"10.1109/IIC.2015.7150927","DOIUrl":"https://doi.org/10.1109/IIC.2015.7150927","url":null,"abstract":"Induction motor can be run as variable speed a. c. drive under the umbrella of recent technology advancements. Pulse width modulated (PWM) inverters are used to feed drive efficiently. Problems observed due to conventional inverter like: common mode voltage (CMV), total harmonic distortion (THD) in line voltage waveform, electromagnetic interference, inverter induced bearing current and shaft voltage owing to high rate of rise of voltage and more carrier frequency. These barriers are reduced using multilevel inverters. This paper proposed to minimize these shortcomings using a five level diode clamped sinusoidal pulse width modulation (SPWM) inverter. A model is simulated using MATLAB simulink for conventional and five level inverter fed induction motor using phase disposition (PD), phase opposite disposition (POD) and alternate phase opposite disposition (APOD) techniques.","PeriodicalId":155838,"journal":{"name":"2015 International Conference on Industrial Instrumentation and Control (ICIC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126161666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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