In modern power systems, the increase of renewable energy generation is a big challenge to the power system stability. The novel stabilizer based on the superconducting magnetic energy storage (SMES) is a promising method for stability enhancement of power system. In the application of SMES, the controller is a key component which determines the capability of SMES. This paper proposes a new controller for SMES to enhance both the damping and the transient stability of power system. The proposed controller utilizes different laws in the different stage of power system transients after a large disturbance. The simulation results show that the system with the proposed controller has smaller states deviation than using the damping controller and less oscillation decay time than using the transient controller when a three-phase-fault happens in the transmission line. Meanwhile, the proposed controller maintains the high damping ratio of the system in steady state.
{"title":"A transients segmentation based control for SMES to enhance power system stability","authors":"Xiaohan Shi, Shaorong Wang, A. Waqar, Wenxuan Wu, Jianzhao Guo, Yiyong Zhu","doi":"10.1109/EESCO.2015.7253961","DOIUrl":"https://doi.org/10.1109/EESCO.2015.7253961","url":null,"abstract":"In modern power systems, the increase of renewable energy generation is a big challenge to the power system stability. The novel stabilizer based on the superconducting magnetic energy storage (SMES) is a promising method for stability enhancement of power system. In the application of SMES, the controller is a key component which determines the capability of SMES. This paper proposes a new controller for SMES to enhance both the damping and the transient stability of power system. The proposed controller utilizes different laws in the different stage of power system transients after a large disturbance. The simulation results show that the system with the proposed controller has smaller states deviation than using the damping controller and less oscillation decay time than using the transient controller when a three-phase-fault happens in the transmission line. Meanwhile, the proposed controller maintains the high damping ratio of the system in steady state.","PeriodicalId":305584,"journal":{"name":"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117078361","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 : 2015-09-10DOI: 10.1109/EESCO.2015.7253764
Tadiparthi Ramki, L. Tripathy
A DC-DC converter is an important constituent of a photovoltaic(PV) power system. Power generated by the PV system is a function of solar insolation, and temperature. Power-voltage (P-V) characteristic of a PV module exhibits a single power peak. A maximum power point tracking algorithm is required to operate the PV array at its maximum power point. The DC-DC converter works as an impedance matching circuit in between the PV array and load. A suitable selection of DC-DC converter is an important decision according to the application. In this study, a comparative analysis of different DC-DC converter is discussed in terms of efficiency, computational time, and complexity. A widely adopted Incremental conductance (INC) MPPT algorithm is used to evaluate the performance of each DC-DC converter. Performance of each converter in MPPT application is simulated using MATLAB/SIMULINK
{"title":"Comparison of different DC-DC converter for MPPT application of photovoltaic system","authors":"Tadiparthi Ramki, L. Tripathy","doi":"10.1109/EESCO.2015.7253764","DOIUrl":"https://doi.org/10.1109/EESCO.2015.7253764","url":null,"abstract":"A DC-DC converter is an important constituent of a photovoltaic(PV) power system. Power generated by the PV system is a function of solar insolation, and temperature. Power-voltage (P-V) characteristic of a PV module exhibits a single power peak. A maximum power point tracking algorithm is required to operate the PV array at its maximum power point. The DC-DC converter works as an impedance matching circuit in between the PV array and load. A suitable selection of DC-DC converter is an important decision according to the application. In this study, a comparative analysis of different DC-DC converter is discussed in terms of efficiency, computational time, and complexity. A widely adopted Incremental conductance (INC) MPPT algorithm is used to evaluate the performance of each DC-DC converter. Performance of each converter in MPPT application is simulated using MATLAB/SIMULINK","PeriodicalId":305584,"journal":{"name":"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131617122","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 : 2015-09-10DOI: 10.1109/EESCO.2015.7253862
D. Sanjay, P. Kumar, T. Savithri
In this paper a robotic system is proposed which follows a person avoiding obstacles in an indoor environment. The Robot platform used is DaNI Robot which has 180 degree steering ultrasonic sensor at the frontend and a Single-board Reconfigurable Input-Output (SBRIO-9632). The board has real time controller and a Field Programmable Gate Array (FPGA) device. A wireless router is connected to IP camera and the board. To control the movement of wheels a fuzzy logic based algorithm is proposed in this paper. The data received from the camera is processed using optical character recognition method and the steering ultrasonic sensor is used to measure the distance, avoid the obstacles. The entire design was done using NILabVIEW and the test results of this new approach show the quick response of the robot to follow a person in a smooth manner and avoiding the obstacles.
{"title":"Robotic system using fuzzy logic for person following","authors":"D. Sanjay, P. Kumar, T. Savithri","doi":"10.1109/EESCO.2015.7253862","DOIUrl":"https://doi.org/10.1109/EESCO.2015.7253862","url":null,"abstract":"In this paper a robotic system is proposed which follows a person avoiding obstacles in an indoor environment. The Robot platform used is DaNI Robot which has 180 degree steering ultrasonic sensor at the frontend and a Single-board Reconfigurable Input-Output (SBRIO-9632). The board has real time controller and a Field Programmable Gate Array (FPGA) device. A wireless router is connected to IP camera and the board. To control the movement of wheels a fuzzy logic based algorithm is proposed in this paper. The data received from the camera is processed using optical character recognition method and the steering ultrasonic sensor is used to measure the distance, avoid the obstacles. The entire design was done using NILabVIEW and the test results of this new approach show the quick response of the robot to follow a person in a smooth manner and avoiding the obstacles.","PeriodicalId":305584,"journal":{"name":"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130539795","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 : 2015-09-10DOI: 10.1109/EESCO.2015.7253902
Mona Marodkar, S. Adhau
Overall performance of the photovoltaic (PV) module varies with the varying irradiance, temperature and array configuration. Hence, it is essential to study the relationship between these effects and output power of PV array. This paper presents a PV module which is based on MATLAB-Simulink consisting of S-function builder and controlled current source. The modeling scheme in S-function builder is deduced by some pre-digested function. The series and parallel configuration of PV module is done to reveal the I-V and P-V characteristics of the PV under nonuniform irradiance conditions. The results show there exits multiple peaks which makes the characteristics more complicated. The proposed model assists in validating new global Maximum power point tracking (MPPT) techniques and will help to design best PV array configuration with the Maximum power.
{"title":"Study of PV array configuration and its effects on performance under non uniform irradiance","authors":"Mona Marodkar, S. Adhau","doi":"10.1109/EESCO.2015.7253902","DOIUrl":"https://doi.org/10.1109/EESCO.2015.7253902","url":null,"abstract":"Overall performance of the photovoltaic (PV) module varies with the varying irradiance, temperature and array configuration. Hence, it is essential to study the relationship between these effects and output power of PV array. This paper presents a PV module which is based on MATLAB-Simulink consisting of S-function builder and controlled current source. The modeling scheme in S-function builder is deduced by some pre-digested function. The series and parallel configuration of PV module is done to reveal the I-V and P-V characteristics of the PV under nonuniform irradiance conditions. The results show there exits multiple peaks which makes the characteristics more complicated. The proposed model assists in validating new global Maximum power point tracking (MPPT) techniques and will help to design best PV array configuration with the Maximum power.","PeriodicalId":305584,"journal":{"name":"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124297883","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 : 2015-09-10DOI: 10.1109/EESCO.2015.7253866
D. Sharma, K. Kishore, Shahid Malik, Dheeraj K. Singhal, Ashish Kumar, S. A. Akbar
This paper addresses a method to develop low cost, portable, student purpose, real time measuring device using a graphical liquid crystal display and Atmel's AVR microcontroller that plot the input analog signal waveform with frequency information. This portable oscilloscope made by applying an approach of sampling the input signal through inbuilt ADC of microcontroller and plotting corresponding pixels on graphical LCD according to the digital value of the sampled input signal. The microcontroller takes a frame of input signal at a time and plots all pixel corresponds to each sample of the frame. The frame sampling and plotting rate can be varied to adjust the time scale of the plotted signal which depends on frequency of the input signal. The device can plot signal of any shape either square, sinusoidal, triangular or saw-tooth up to 30 kHz frequency and having an amplitude −250V to +250V.
{"title":"A low cost robust digital signal analyser (DSO) for measurement applications","authors":"D. Sharma, K. Kishore, Shahid Malik, Dheeraj K. Singhal, Ashish Kumar, S. A. Akbar","doi":"10.1109/EESCO.2015.7253866","DOIUrl":"https://doi.org/10.1109/EESCO.2015.7253866","url":null,"abstract":"This paper addresses a method to develop low cost, portable, student purpose, real time measuring device using a graphical liquid crystal display and Atmel's AVR microcontroller that plot the input analog signal waveform with frequency information. This portable oscilloscope made by applying an approach of sampling the input signal through inbuilt ADC of microcontroller and plotting corresponding pixels on graphical LCD according to the digital value of the sampled input signal. The microcontroller takes a frame of input signal at a time and plots all pixel corresponds to each sample of the frame. The frame sampling and plotting rate can be varied to adjust the time scale of the plotted signal which depends on frequency of the input signal. The device can plot signal of any shape either square, sinusoidal, triangular or saw-tooth up to 30 kHz frequency and having an amplitude −250V to +250V.","PeriodicalId":305584,"journal":{"name":"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123197357","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 : 2015-01-01DOI: 10.1109/EESCO.2015.7253868
Jayalaxmi S. Gonal, V. Kohir
In this paper, we deal with the problem of classification of brain tumors as normal, benign or malignant using information from magnetic resonance spectroscopy (MRS) image to assist in clinical diagnosis. This paper proposes a novel approach to extract metabolite values represented in a graphical form in MR spectroscopy image. Metabolites like N-acetyl aspartate (NAA), Choline (Cho) and Creatine (Cr) are used to detect the brain tumor. The metabolite ratios NAA/Cho, Cho/Cr and NAA/Cr play most important role in deciding the tumor type. The proposed approach consists of several steps including preprocessing, metabolite peak height scanning and classification. Proposed system stores the metabolite values in dataset instead of storing MRS images; so reduces the image processing tasks and memory requirements. Further these metabolite values and ratios are fed to a k-NN classifier. Experimental results demonstrate the effectiveness of the proposed approach in classifying the brain tumors.
{"title":"Classification of brain tumors by mining MRS spectrums using LabVIEW metabolite peak height scanning method","authors":"Jayalaxmi S. Gonal, V. Kohir","doi":"10.1109/EESCO.2015.7253868","DOIUrl":"https://doi.org/10.1109/EESCO.2015.7253868","url":null,"abstract":"In this paper, we deal with the problem of classification of brain tumors as normal, benign or malignant using information from magnetic resonance spectroscopy (MRS) image to assist in clinical diagnosis. This paper proposes a novel approach to extract metabolite values represented in a graphical form in MR spectroscopy image. Metabolites like N-acetyl aspartate (NAA), Choline (Cho) and Creatine (Cr) are used to detect the brain tumor. The metabolite ratios NAA/Cho, Cho/Cr and NAA/Cr play most important role in deciding the tumor type. The proposed approach consists of several steps including preprocessing, metabolite peak height scanning and classification. Proposed system stores the metabolite values in dataset instead of storing MRS images; so reduces the image processing tasks and memory requirements. Further these metabolite values and ratios are fed to a k-NN classifier. Experimental results demonstrate the effectiveness of the proposed approach in classifying the brain tumors.","PeriodicalId":305584,"journal":{"name":"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)","volume":" 39","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120934021","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 : 2015-01-01DOI: 10.1109/EESCO.2015.7253616
Abhishek Kumar, Praveen Bansal
Multi-level inverter has a capability to handled high power high voltage with less total harmonic distortion (THD), reduced switching losses and good power quality due to which in recent year they become more popular in high power high voltage application, with Increase in the voltage level, harmonic content in output voltage waveform will decrease. Multi-level has some disadvantage that their complexity requires greater count of power devices and has complex control circuitry. This paper present a novel multi-level inverter topology using H-bridge with other switches and which is implemented in single-phase, three-phase 7-level multi-level inverter using different PWM technique. This topology has less count of power switches, capacitor, diode and less complexity as compare to other multilevel inverter. For 7-level multi-level inverter multicarrier PWM technique is used to generate different output voltage level. Simulation result of and 7-level can be obtained by MATLAB/SIMULINK software.
{"title":"A novel symmetrical multilevel inverter topology with reduced switching devices using different PWM techniques","authors":"Abhishek Kumar, Praveen Bansal","doi":"10.1109/EESCO.2015.7253616","DOIUrl":"https://doi.org/10.1109/EESCO.2015.7253616","url":null,"abstract":"Multi-level inverter has a capability to handled high power high voltage with less total harmonic distortion (THD), reduced switching losses and good power quality due to which in recent year they become more popular in high power high voltage application, with Increase in the voltage level, harmonic content in output voltage waveform will decrease. Multi-level has some disadvantage that their complexity requires greater count of power devices and has complex control circuitry. This paper present a novel multi-level inverter topology using H-bridge with other switches and which is implemented in single-phase, three-phase 7-level multi-level inverter using different PWM technique. This topology has less count of power switches, capacitor, diode and less complexity as compare to other multilevel inverter. For 7-level multi-level inverter multicarrier PWM technique is used to generate different output voltage level. Simulation result of and 7-level can be obtained by MATLAB/SIMULINK software.","PeriodicalId":305584,"journal":{"name":"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127007770","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 : 2015-01-01DOI: 10.1109/EESCO.2015.7254059
Y. Babu, Tripura Pidikiti, P. Prasanna
In this paper, an auxiliary circuit to achieve the soft switching condition for a buck converter is proposed. The switching devices used in power converters need to withstand high voltage stress across them which leads to increased switching losses. In order to maximize the efficiency, soft switching techniques must be adopted. The performance of the converter is enhanced by introducing the PID controller and fuzzy logic controller. The model is simulated in MATLAB/SIMULINK and the performance of the converter is presented with PID and fuzzy controllers.
{"title":"Fuzzy control of zero current switching resonant buck converter","authors":"Y. Babu, Tripura Pidikiti, P. Prasanna","doi":"10.1109/EESCO.2015.7254059","DOIUrl":"https://doi.org/10.1109/EESCO.2015.7254059","url":null,"abstract":"In this paper, an auxiliary circuit to achieve the soft switching condition for a buck converter is proposed. The switching devices used in power converters need to withstand high voltage stress across them which leads to increased switching losses. In order to maximize the efficiency, soft switching techniques must be adopted. The performance of the converter is enhanced by introducing the PID controller and fuzzy logic controller. The model is simulated in MATLAB/SIMULINK and the performance of the converter is presented with PID and fuzzy controllers.","PeriodicalId":305584,"journal":{"name":"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126904540","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 : 2015-01-01DOI: 10.1109/EESCO.2015.7253615
Soumen Kanrar
Speaker Identification process is to identify a particular vocal cord from a set of existing speakers. In the speaker identification processes, the unknown speaker voice sample targets each of the existing speakers in the system and gives a predication. The predication is more than one existing known speaker voice and is very close to the unknown speaker voice. It is a one to many mapping. The mapping function gives a set of predicated values associated with the order pair of speakers. In the order pair, the first coordinate is the unknown speaker and the second coordinates is the existing known speaker from the speaker recognition system. The set of predicated values helps to identify the unknown speaker. The identification process makes a comparison of the unknown speaker model with the models of the existing voice in the system. In this paper, the model is a Gaussian mixture model built by the extraction of the acoustic feature vectors. This paper presents the impact of the decision threshold based on false accepts and false reject for an unknown number of speaker conversion in the speaker identification result. In the simulation, the considered known speaker voices are collected through different channels. In the testing, the GMM voice models of the known speakers are distributed among the numbers of clusters in the test data set.
{"title":"Environment based threshold for Speaker Identification","authors":"Soumen Kanrar","doi":"10.1109/EESCO.2015.7253615","DOIUrl":"https://doi.org/10.1109/EESCO.2015.7253615","url":null,"abstract":"Speaker Identification process is to identify a particular vocal cord from a set of existing speakers. In the speaker identification processes, the unknown speaker voice sample targets each of the existing speakers in the system and gives a predication. The predication is more than one existing known speaker voice and is very close to the unknown speaker voice. It is a one to many mapping. The mapping function gives a set of predicated values associated with the order pair of speakers. In the order pair, the first coordinate is the unknown speaker and the second coordinates is the existing known speaker from the speaker recognition system. The set of predicated values helps to identify the unknown speaker. The identification process makes a comparison of the unknown speaker model with the models of the existing voice in the system. In this paper, the model is a Gaussian mixture model built by the extraction of the acoustic feature vectors. This paper presents the impact of the decision threshold based on false accepts and false reject for an unknown number of speaker conversion in the speaker identification result. In the simulation, the considered known speaker voices are collected through different channels. In the testing, the GMM voice models of the known speakers are distributed among the numbers of clusters in the test data set.","PeriodicalId":305584,"journal":{"name":"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133219693","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 : 1900-01-01DOI: 10.1109/EESCO.2015.7254026
D. Barman, S. Sarkar, G. Das, S. Das, P. Purkait
Modern research surveys emphasize that stator winding fault holds a significant percentage in induction motor failures. In Motor Current Signature Analysis (MCSA) based stator winding fault diagnosis, it has been found to be a challenging task to discriminate inter turn short circuit faults from inter-turn incipient insulation failures providing unbalances in three phase motor currents identical to short circuit faults. This paper proposes an approach to achieve this objective by applying Discrete Wavelet Transform (DWT) as signal decomposition tool on the faulty phase motor current captured through CRIO-9075 integrated controller and chassis system having 400MHz power PC controller, LX 25 Gate FPGA with NI 9227. Inverse Discrete Wavelet Transform (IDWT) as signal reconstruction tool has been employed to extract relevant frequency band which is sensitive to stator winding faults. Reconstructed or filtered currents under different fault cases containing specific band of frequency signals are then fed to Detrended Fluctuation Analysis (DFA) algorithm which has the competency to assess trend of fluctuations present in signals under consideration. Results of DFA in the form of short term fluctuation coefficient (αs) and long term fluctuation coefficient (αl) are found to be capable in discriminating the inter-turn short circuit fault from incipient insulation failure. Proposed method is also capable in detecting the severity levels of two different types of fault cases. Entire analysis reported in this work is based on experimentally obtained motor current signals.
{"title":"DFA and DWT based severity detection and discrimination of induction motor stator winding short circuit fault from incipient insulation failure","authors":"D. Barman, S. Sarkar, G. Das, S. Das, P. Purkait","doi":"10.1109/EESCO.2015.7254026","DOIUrl":"https://doi.org/10.1109/EESCO.2015.7254026","url":null,"abstract":"Modern research surveys emphasize that stator winding fault holds a significant percentage in induction motor failures. In Motor Current Signature Analysis (MCSA) based stator winding fault diagnosis, it has been found to be a challenging task to discriminate inter turn short circuit faults from inter-turn incipient insulation failures providing unbalances in three phase motor currents identical to short circuit faults. This paper proposes an approach to achieve this objective by applying Discrete Wavelet Transform (DWT) as signal decomposition tool on the faulty phase motor current captured through CRIO-9075 integrated controller and chassis system having 400MHz power PC controller, LX 25 Gate FPGA with NI 9227. Inverse Discrete Wavelet Transform (IDWT) as signal reconstruction tool has been employed to extract relevant frequency band which is sensitive to stator winding faults. Reconstructed or filtered currents under different fault cases containing specific band of frequency signals are then fed to Detrended Fluctuation Analysis (DFA) algorithm which has the competency to assess trend of fluctuations present in signals under consideration. Results of DFA in the form of short term fluctuation coefficient (αs) and long term fluctuation coefficient (αl) are found to be capable in discriminating the inter-turn short circuit fault from incipient insulation failure. Proposed method is also capable in detecting the severity levels of two different types of fault cases. Entire analysis reported in this work is based on experimentally obtained motor current signals.","PeriodicalId":305584,"journal":{"name":"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)","volume":"499 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123565610","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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