Pub Date : 2016-11-05DOI: 10.1109/INDEL.2016.7797800
Yu Zhang, S. Cruz-Manzo, A. Latimer
This paper focuses on industrial application of start-up vibration signature analysis for novelty detection with experimental trials on industrial gas turbines (IGTs). Firstly, a representative vibration signature is extracted from healthy start-up vibration measurements through the use of an adaptive neuro-fuzzy inference system (ANFIS). Then, the first critical speed and the vibration level at the critical speed are located from the signature. Finally, two (s- and v-) health indices are introduced to detect and identify different novel/fault conditions from the IGT start-ups, in addition to traditional similarity measures, such as Euclidean distance and cross-correlation measures. Through a case study on IGTs, it is shown that the presented approach provides a convenient and efficient tool for IGT condition monitoring using start-up field data.
{"title":"Start-up vibration analysis for novelty detection on industrial gas turbines","authors":"Yu Zhang, S. Cruz-Manzo, A. Latimer","doi":"10.1109/INDEL.2016.7797800","DOIUrl":"https://doi.org/10.1109/INDEL.2016.7797800","url":null,"abstract":"This paper focuses on industrial application of start-up vibration signature analysis for novelty detection with experimental trials on industrial gas turbines (IGTs). Firstly, a representative vibration signature is extracted from healthy start-up vibration measurements through the use of an adaptive neuro-fuzzy inference system (ANFIS). Then, the first critical speed and the vibration level at the critical speed are located from the signature. Finally, two (s- and v-) health indices are introduced to detect and identify different novel/fault conditions from the IGT start-ups, in addition to traditional similarity measures, such as Euclidean distance and cross-correlation measures. Through a case study on IGTs, it is shown that the presented approach provides a convenient and efficient tool for IGT condition monitoring using start-up field data.","PeriodicalId":273613,"journal":{"name":"2016 International Symposium on Industrial Electronics (INDEL)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125744708","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 : 2016-11-01DOI: 10.1109/INDEL.2016.7797799
M. Dimitrijevic, M. A. Stosovic, M. Petronijević, P. Petkovic, D. Stevanović
In this proceeding we present basic steps for design a system for harmonic and reactive power compensation in smart grid, using photovoltaic (PV) system. First, methods for harmonic monitoring and measurement will be elaborated. Next, we will discuss harmonic reduction techniques that are usually used. The system for harmonic compensation based on photovoltaic energy generation that provides the functions of a power quality conditioner will be proposed. We will also address the issue of proper quantity for harmonic compensation contribution measurement at power grid.
{"title":"Compensation of harmonics in smart grid using photovoltaic energy source","authors":"M. Dimitrijevic, M. A. Stosovic, M. Petronijević, P. Petkovic, D. Stevanović","doi":"10.1109/INDEL.2016.7797799","DOIUrl":"https://doi.org/10.1109/INDEL.2016.7797799","url":null,"abstract":"In this proceeding we present basic steps for design a system for harmonic and reactive power compensation in smart grid, using photovoltaic (PV) system. First, methods for harmonic monitoring and measurement will be elaborated. Next, we will discuss harmonic reduction techniques that are usually used. The system for harmonic compensation based on photovoltaic energy generation that provides the functions of a power quality conditioner will be proposed. We will also address the issue of proper quantity for harmonic compensation contribution measurement at power grid.","PeriodicalId":273613,"journal":{"name":"2016 International Symposium on Industrial Electronics (INDEL)","volume":"10 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120934765","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 : 2016-11-01DOI: 10.1109/INDEL.2016.7797783
M. Hodzic, I. Muhic
In many systems sensors play an important role in observing environment and collecting data. This paper explains effective algorithm developed for energy savings in low power wireless sensor networks (WSNs). We consider a dynamic network, where sensors are geographically deployed in a field with different trajectories describing behavior of an object that is passing through the sensors field. The aim is to minimize number of sensors participating in object tracking to extend the network lifetime. We show significant energy savings when a binary search algorithm is used for different network scenarios. To support long lifetime of sensors with satisfactory intrusion tracking error, energy-efficient operation is the key, since energy is scarce resource. Our algorithm is suitable for implementation in the context of Internet of Things (IoT), especially in smart and green energy applications, as well as variety of campus and defense applications.
{"title":"Binary algorithm for energy saving in low power wireless sensor networks","authors":"M. Hodzic, I. Muhic","doi":"10.1109/INDEL.2016.7797783","DOIUrl":"https://doi.org/10.1109/INDEL.2016.7797783","url":null,"abstract":"In many systems sensors play an important role in observing environment and collecting data. This paper explains effective algorithm developed for energy savings in low power wireless sensor networks (WSNs). We consider a dynamic network, where sensors are geographically deployed in a field with different trajectories describing behavior of an object that is passing through the sensors field. The aim is to minimize number of sensors participating in object tracking to extend the network lifetime. We show significant energy savings when a binary search algorithm is used for different network scenarios. To support long lifetime of sensors with satisfactory intrusion tracking error, energy-efficient operation is the key, since energy is scarce resource. Our algorithm is suitable for implementation in the context of Internet of Things (IoT), especially in smart and green energy applications, as well as variety of campus and defense applications.","PeriodicalId":273613,"journal":{"name":"2016 International Symposium on Industrial Electronics (INDEL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129451827","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 : 2016-11-01DOI: 10.1109/INDEL.2016.7797778
N. Mukhlynin, A. Pazderin, A. Sukalo
The operating modes control of 35 kV, 6/10 kV distribution grids within the concept of Smart Grid is currently possible due to the impact on the control units available in the grid. The devices include: a transformer with on-load tap changing, energy storage systems, switching equipment, reactive power sources, distributed generators. A combined use of these control devices would allow performing the optimization of the normal and post-fault operation modes of distribution grids. However, the solution of the optimization problem is impossible without the knowledge of the node voltages, the active and reactive power flows and the state topology of the optimized grid referred to as the operating mode parameters. The paper proposes using an amount of power energy from the automated measuring systems, basing on electricity meters as multifunctional measuring devices. The estimation of the operating mode parameters according to the data of electricity meters at the certain time intervals gives a better result, compared to the classical approaches based on the calculation of the average steady-state parameters under the changes of both topology and operation modes, which usually takes place in the distribution grids. Thus, for estimating the operating mode parameters in distribution grids, the authors propose to implement a new approach based on the use of energy.
{"title":"Estimating operating mode parameters in distribution grids with regard to the peculiarities of their development","authors":"N. Mukhlynin, A. Pazderin, A. Sukalo","doi":"10.1109/INDEL.2016.7797778","DOIUrl":"https://doi.org/10.1109/INDEL.2016.7797778","url":null,"abstract":"The operating modes control of 35 kV, 6/10 kV distribution grids within the concept of Smart Grid is currently possible due to the impact on the control units available in the grid. The devices include: a transformer with on-load tap changing, energy storage systems, switching equipment, reactive power sources, distributed generators. A combined use of these control devices would allow performing the optimization of the normal and post-fault operation modes of distribution grids. However, the solution of the optimization problem is impossible without the knowledge of the node voltages, the active and reactive power flows and the state topology of the optimized grid referred to as the operating mode parameters. The paper proposes using an amount of power energy from the automated measuring systems, basing on electricity meters as multifunctional measuring devices. The estimation of the operating mode parameters according to the data of electricity meters at the certain time intervals gives a better result, compared to the classical approaches based on the calculation of the average steady-state parameters under the changes of both topology and operation modes, which usually takes place in the distribution grids. Thus, for estimating the operating mode parameters in distribution grids, the authors propose to implement a new approach based on the use of energy.","PeriodicalId":273613,"journal":{"name":"2016 International Symposium on Industrial Electronics (INDEL)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124008969","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 : 2016-11-01DOI: 10.1109/INDEL.2016.7797771
Milica Ristović Krstić, S. Lubura, S. Lale, M. Soja, M. Ikić, D. Milovanovic
Phase Locked Loop (PLL) is wide used for grid parameters estimation, as well for grid-converters synchronization. Key block at single-phase Synchronous Reference Frame PLL (SRF-PLL) structure is two-phase generator which is used for generation of two quadrature signals, which are necessary for SRF block. One of the issues that could appear during estimation of grid parameters is appearance of DC offset in measured grid voltage. In this paper is described second order generalized integrator (SOGI) which is capable to fully reject DC offset and noise which could appear in measured input grid voltage. This two-phase generator is named DC-SOGI. Analog DC-SOGI is made of two second order filters. While these structures are mostly digitally implemented, then it is interesting to analyze discretization method and sampling time impact on two-phase generator. Simulation results confirm given assumption.
{"title":"Analysis of discretization methods applied on DC-SOGI block as part of SRF-PLL structure","authors":"Milica Ristović Krstić, S. Lubura, S. Lale, M. Soja, M. Ikić, D. Milovanovic","doi":"10.1109/INDEL.2016.7797771","DOIUrl":"https://doi.org/10.1109/INDEL.2016.7797771","url":null,"abstract":"Phase Locked Loop (PLL) is wide used for grid parameters estimation, as well for grid-converters synchronization. Key block at single-phase Synchronous Reference Frame PLL (SRF-PLL) structure is two-phase generator which is used for generation of two quadrature signals, which are necessary for SRF block. One of the issues that could appear during estimation of grid parameters is appearance of DC offset in measured grid voltage. In this paper is described second order generalized integrator (SOGI) which is capable to fully reject DC offset and noise which could appear in measured input grid voltage. This two-phase generator is named DC-SOGI. Analog DC-SOGI is made of two second order filters. While these structures are mostly digitally implemented, then it is interesting to analyze discretization method and sampling time impact on two-phase generator. Simulation results confirm given assumption.","PeriodicalId":273613,"journal":{"name":"2016 International Symposium on Industrial Electronics (INDEL)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125993359","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 : 2016-11-01DOI: 10.1109/INDEL.2016.7797809
Z. Jakšić, O. Jakšić
The role of chemical sensors in modern process industry cannot be overestimated, since they are encountered at different stages of process control, helping maintain product quality and at the same time allowing to keep an eye on environmental issues and pollution problems. Numerous device families are currently in use, where optical chemical sensors are probably the fastest, the simplest and the most sensitive. Affinity sensors represent a class of these devices based on adsorption of chemical analytes. The prime example are plasmonic sensors, which are label-free, ultra sensitive and ultra fast. Literature usually defines only the ideal sensitivity of such devices and their performance is taken as granted. In reality there are many parasitic processes that decrease their performance and introduce significant measurement uncertainties. Noise and fluctuations in such sensors can be generated by both extrinsic or intrinsic sources and a significant part of them is a consequence of fundamental processes that at the same time ensure the very function of the devices. The main intrinsic mechanisms include adsorption-desorption, optical flicker and thermal noise, while the level of the extrinsic noise is related with the quality of the interrogating beam source and the photo detector. In this contribution we offer a possible systematization of different sources of noise in refractometric chemical sensors and analyze the influence of such fluctuations to the ultimate device performance.
{"title":"Limits to optical chemical sensing fluctuations versus ultimate performance","authors":"Z. Jakšić, O. Jakšić","doi":"10.1109/INDEL.2016.7797809","DOIUrl":"https://doi.org/10.1109/INDEL.2016.7797809","url":null,"abstract":"The role of chemical sensors in modern process industry cannot be overestimated, since they are encountered at different stages of process control, helping maintain product quality and at the same time allowing to keep an eye on environmental issues and pollution problems. Numerous device families are currently in use, where optical chemical sensors are probably the fastest, the simplest and the most sensitive. Affinity sensors represent a class of these devices based on adsorption of chemical analytes. The prime example are plasmonic sensors, which are label-free, ultra sensitive and ultra fast. Literature usually defines only the ideal sensitivity of such devices and their performance is taken as granted. In reality there are many parasitic processes that decrease their performance and introduce significant measurement uncertainties. Noise and fluctuations in such sensors can be generated by both extrinsic or intrinsic sources and a significant part of them is a consequence of fundamental processes that at the same time ensure the very function of the devices. The main intrinsic mechanisms include adsorption-desorption, optical flicker and thermal noise, while the level of the extrinsic noise is related with the quality of the interrogating beam source and the photo detector. In this contribution we offer a possible systematization of different sources of noise in refractometric chemical sensors and analyze the influence of such fluctuations to the ultimate device performance.","PeriodicalId":273613,"journal":{"name":"2016 International Symposium on Industrial Electronics (INDEL)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124746551","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 : 2016-11-01DOI: 10.1109/INDEL.2016.7797785
Igor Sevo, Aleksandar Kelecevic
This paper presents a convolutional neural network clustering approach for handwritten digits recognition. Neural networks were trained individually, using the same training set and combined into clusters, depending on the training method used. These clusters formed a layered architecture, where each layer attempted to recognize the given digit, when the previous layers were not able to do so with sufficient certainty. We examine various ways of combining such clusters and training their constituent networks.
{"title":"Clustered class-dependant training method for digit recognition classifiers","authors":"Igor Sevo, Aleksandar Kelecevic","doi":"10.1109/INDEL.2016.7797785","DOIUrl":"https://doi.org/10.1109/INDEL.2016.7797785","url":null,"abstract":"This paper presents a convolutional neural network clustering approach for handwritten digits recognition. Neural networks were trained individually, using the same training set and combined into clusters, depending on the training method used. These clusters formed a layered architecture, where each layer attempted to recognize the given digit, when the previous layers were not able to do so with sufficient certainty. We examine various ways of combining such clusters and training their constituent networks.","PeriodicalId":273613,"journal":{"name":"2016 International Symposium on Industrial Electronics (INDEL)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130146489","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 : 2016-11-01DOI: 10.1109/INDEL.2016.7797810
Aleksandar M. Stanisavljević, V. Katić, B. Popadic, B. Dumnic, Rade J. Radisic, I. M. Kovacevic
The paper describes Reduced Fast Fourier Transformation (RFFT), an algorithm of harmonic estimation based on the FFT, created by authors, convenient for voltage dips detection. The algorithm is simple, fast, computationally inexpensive and sufficiently accurate. It is tested in Matlab / SimPowerSystems environment. Results show that the algorithm is faster and better than the FFT, which is advantage in applications for network voltage disturbances detection.
{"title":"Reduced FFT algorithm for network voltage disturbances detection","authors":"Aleksandar M. Stanisavljević, V. Katić, B. Popadic, B. Dumnic, Rade J. Radisic, I. M. Kovacevic","doi":"10.1109/INDEL.2016.7797810","DOIUrl":"https://doi.org/10.1109/INDEL.2016.7797810","url":null,"abstract":"The paper describes Reduced Fast Fourier Transformation (RFFT), an algorithm of harmonic estimation based on the FFT, created by authors, convenient for voltage dips detection. The algorithm is simple, fast, computationally inexpensive and sufficiently accurate. It is tested in Matlab / SimPowerSystems environment. Results show that the algorithm is faster and better than the FFT, which is advantage in applications for network voltage disturbances detection.","PeriodicalId":273613,"journal":{"name":"2016 International Symposium on Industrial Electronics (INDEL)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130690489","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 : 2016-11-01DOI: 10.1109/INDEL.2016.7797791
D. Vasiljević, G. Gardasevic
Wireless Sensor Networks (WSNs) represent one of the key technologies in Industrial Internet of Things (IloT) applications. Recently, the Open Mote platform has drawn significant attention to IIoT research community. The Open Mote is a representative of new generation open-hardware platforms that is particularly adapted to IIoT applications. The Open WSN is IoT operating system (OS) that incorporates the complete communication protocol stack for industrial WSN. This paper presents the Open WSN protocol stack and results of performance evaluation of entire Open WSN implementation on Open Mote hardware platform. Performance evaluation is based on traffic generation and measurement of relevant metrics. The selected metrics are: round-trip time, packet loss rate and throughput.
{"title":"Performance evaluation of OpenWSN operating system on open mote platform for industrial IoT applications","authors":"D. Vasiljević, G. Gardasevic","doi":"10.1109/INDEL.2016.7797791","DOIUrl":"https://doi.org/10.1109/INDEL.2016.7797791","url":null,"abstract":"Wireless Sensor Networks (WSNs) represent one of the key technologies in Industrial Internet of Things (IloT) applications. Recently, the Open Mote platform has drawn significant attention to IIoT research community. The Open Mote is a representative of new generation open-hardware platforms that is particularly adapted to IIoT applications. The Open WSN is IoT operating system (OS) that incorporates the complete communication protocol stack for industrial WSN. This paper presents the Open WSN protocol stack and results of performance evaluation of entire Open WSN implementation on Open Mote hardware platform. Performance evaluation is based on traffic generation and measurement of relevant metrics. The selected metrics are: round-trip time, packet loss rate and throughput.","PeriodicalId":273613,"journal":{"name":"2016 International Symposium on Industrial Electronics (INDEL)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127876892","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 : 2016-11-01DOI: 10.1109/INDEL.2016.7797816
D. Herceg, K. Kasas-Lazetic, D. Antic, J. Bjelica, M. Prsa
Determination of normal magnetization curve is a well known problem, solved and described in many papers. But none of the normal magnetization curve measurements were performed applying current transformer instead of voltage toroidal transformer sample. Comparing the application of current transformer versus the application of voltage transformer, several different procedures and approaches appeared. All these procedures, together with the appropriate solutions and results were presented in this paper. The results presented in the paper show that current transformer can also be successfully applied for an accurate normal dynamic magnetization curve determination.
{"title":"Application of current transformer for normal magnetization curve determination","authors":"D. Herceg, K. Kasas-Lazetic, D. Antic, J. Bjelica, M. Prsa","doi":"10.1109/INDEL.2016.7797816","DOIUrl":"https://doi.org/10.1109/INDEL.2016.7797816","url":null,"abstract":"Determination of normal magnetization curve is a well known problem, solved and described in many papers. But none of the normal magnetization curve measurements were performed applying current transformer instead of voltage toroidal transformer sample. Comparing the application of current transformer versus the application of voltage transformer, several different procedures and approaches appeared. All these procedures, together with the appropriate solutions and results were presented in this paper. The results presented in the paper show that current transformer can also be successfully applied for an accurate normal dynamic magnetization curve determination.","PeriodicalId":273613,"journal":{"name":"2016 International Symposium on Industrial Electronics (INDEL)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131657147","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：