Pub Date : 2017-11-01DOI: 10.1109/IECON.2017.8217316
C. Giovanelli, Xin Liu, S. Sierla, V. Vyatkin, R. Ichise
The increased penetration of distributed and volatile renewable generation requires the demand-side to be actively involved in energy balancing operations. This paper proposes a solution in which big data and machine learning methods are employed to enhance the capabilities of a Virtual Power Plant to participate and intelligently bid into a demand response energy market. The energy market being investigated consists of the frequency containment reserve market. First, we define the core decision-making required to overcome the uncertainties in the frequency containment reserve market participation for a Virtual Power Plant. Then, we focus on forecasting the frequency containment reserve prices for the day-ahead. We analyze the price data, and identify and collect the relevant features for the prediction of the prices. In addition, we select several regression analysis methods to be utilized for the prediction. Finally, we evaluate the performance of the implemented methods by executing several experiments, and compare the the performance with the performance of a state of the art autoregression method.
{"title":"Towards an aggregator that exploits big data to bid on frequency containment reserve market","authors":"C. Giovanelli, Xin Liu, S. Sierla, V. Vyatkin, R. Ichise","doi":"10.1109/IECON.2017.8217316","DOIUrl":"https://doi.org/10.1109/IECON.2017.8217316","url":null,"abstract":"The increased penetration of distributed and volatile renewable generation requires the demand-side to be actively involved in energy balancing operations. This paper proposes a solution in which big data and machine learning methods are employed to enhance the capabilities of a Virtual Power Plant to participate and intelligently bid into a demand response energy market. The energy market being investigated consists of the frequency containment reserve market. First, we define the core decision-making required to overcome the uncertainties in the frequency containment reserve market participation for a Virtual Power Plant. Then, we focus on forecasting the frequency containment reserve prices for the day-ahead. We analyze the price data, and identify and collect the relevant features for the prediction of the prices. In addition, we select several regression analysis methods to be utilized for the prediction. Finally, we evaluate the performance of the implemented methods by executing several experiments, and compare the the performance with the performance of a state of the art autoregression method.","PeriodicalId":13098,"journal":{"name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","volume":"23 1","pages":"7514-7519"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87163677","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 : 2017-11-01DOI: 10.1109/IECON.2017.8216813
Tyler A. Clifford, S. Cruz-Manzo, Yu Zhang, V. Panov, A. Latimer
In this paper, an off-design performance prediction model for a single shaft industrial gas turbine (IGT) using Microsoft Excel with Visual Basic for Applications (VBA) programming is presented. The modelling architecture is comprised of fundamental thermodynamic equations describing the performance of IGTs. A graphical user interface has been constructed to allow an easy interaction of the model to predict IGT performance at different operating conditions. Component characteristic maps for the compressor and turbine with a bilinear interpolation method have been implemented in the Excel modelling architecture. A commercial thermodynamic toolbox (Thermolib, EUtech Scientific Engineering GmbH) which is compatible with Simulink environment has been considered to validate Excel model of the IGT system. This Excel modelling architecture could be a valuable reference tool for engineers and students to understand IGT performance at different ambient and operating conditions.
本文利用Microsoft Excel和Visual Basic for Applications (VBA)编程，建立了单轴工业燃气轮机(IGT)的非设计性能预测模型。建模体系结构由描述IGTs性能的基本热力学方程组成。构建了一个图形用户界面，使模型易于交互，以预测不同操作条件下的IGT性能。采用双线性插值方法在Excel建模体系结构中实现了压气机和透平的部件特征映射。考虑了与Simulink环境兼容的商用热力学工具箱(Thermolib, EUtech Scientific Engineering GmbH)来验证IGT系统的Excel模型。这个Excel建模架构可以成为工程师和学生了解不同环境和操作条件下IGT性能的有价值的参考工具。
{"title":"Development of a steady-state thermodynamic model in microsoft excel for performance analysis of industrial gas turbines","authors":"Tyler A. Clifford, S. Cruz-Manzo, Yu Zhang, V. Panov, A. Latimer","doi":"10.1109/IECON.2017.8216813","DOIUrl":"https://doi.org/10.1109/IECON.2017.8216813","url":null,"abstract":"In this paper, an off-design performance prediction model for a single shaft industrial gas turbine (IGT) using Microsoft Excel with Visual Basic for Applications (VBA) programming is presented. The modelling architecture is comprised of fundamental thermodynamic equations describing the performance of IGTs. A graphical user interface has been constructed to allow an easy interaction of the model to predict IGT performance at different operating conditions. Component characteristic maps for the compressor and turbine with a bilinear interpolation method have been implemented in the Excel modelling architecture. A commercial thermodynamic toolbox (Thermolib, EUtech Scientific Engineering GmbH) which is compatible with Simulink environment has been considered to validate Excel model of the IGT system. This Excel modelling architecture could be a valuable reference tool for engineers and students to understand IGT performance at different ambient and operating conditions.","PeriodicalId":13098,"journal":{"name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","volume":"249 1","pages":"4717-4723"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85178439","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 : 2017-11-01DOI: 10.1109/IECON.2017.8217517
João C. P. Reis, R. Pinto, G. Gonçalves
Cyber-Physical Production Systems (CPPS) are the key enabling for industrial businesses and economic growth. With the introduction of the Internet of Things (IoT) in the manufacturing environment, CPPS have a huge potential in terms of new business opportunities, mostly known as the 4th Industrial Revolution. The paper presents a CPPS architecture achieved within the European R&D project SelSus, which is validated in an industrial human-machine collaborative use case scenario. This scenario is composed by a set of sequential gripping operations between a person and a robotic arm, where both sensing and actuation devices are virtualized using the SmartComponent concept. The developed prototype demonstrated that the SelSus CPPS enabled self-adaptation in industrial equipment, in order to help the human operator under high levels of stress and fatigue.
{"title":"Human-centered application using cyber-physical production system","authors":"João C. P. Reis, R. Pinto, G. Gonçalves","doi":"10.1109/IECON.2017.8217517","DOIUrl":"https://doi.org/10.1109/IECON.2017.8217517","url":null,"abstract":"Cyber-Physical Production Systems (CPPS) are the key enabling for industrial businesses and economic growth. With the introduction of the Internet of Things (IoT) in the manufacturing environment, CPPS have a huge potential in terms of new business opportunities, mostly known as the 4th Industrial Revolution. The paper presents a CPPS architecture achieved within the European R&D project SelSus, which is validated in an industrial human-machine collaborative use case scenario. This scenario is composed by a set of sequential gripping operations between a person and a robotic arm, where both sensing and actuation devices are virtualized using the SmartComponent concept. The developed prototype demonstrated that the SelSus CPPS enabled self-adaptation in industrial equipment, in order to help the human operator under high levels of stress and fatigue.","PeriodicalId":13098,"journal":{"name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","volume":"1 1","pages":"8634-8639"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79468607","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 : 2017-10-31DOI: 10.1109/IECON.2017.8216750
Filippo Savi, D. Barater, M. Di Nardo, M. Degano, C. Gerada
This paper presents a comprehensive comparative study among five different converter topologies all designed to drive a 8.5kW-120krpm surface permanent magnet synchronous machine. The study aims at comparing the considered systems in terms of converter complexity, control complexity and overall efficiency. The assessment of the subsystems' efficiencies is based on a set of decoupled converter-electrical machine simulations. First the designed converters are simulated in Matlab-Simulink environment in order to estimate the converter losses and the current waveforms. Then the latter are used to supply the Finite Elements(FE) model of the electrical machine so to estimate all the loss components present in the real scenario. The results of the carried out study gives a wide understanding of the interaction between the two subsystems and some general design considerations needed to select the converter topology.
{"title":"A system level comparison of drive topologies for high speed electrical machines","authors":"Filippo Savi, D. Barater, M. Di Nardo, M. Degano, C. Gerada","doi":"10.1109/IECON.2017.8216750","DOIUrl":"https://doi.org/10.1109/IECON.2017.8216750","url":null,"abstract":"This paper presents a comprehensive comparative study among five different converter topologies all designed to drive a 8.5kW-120krpm surface permanent magnet synchronous machine. The study aims at comparing the considered systems in terms of converter complexity, control complexity and overall efficiency. The assessment of the subsystems' efficiencies is based on a set of decoupled converter-electrical machine simulations. First the designed converters are simulated in Matlab-Simulink environment in order to estimate the converter losses and the current waveforms. Then the latter are used to supply the Finite Elements(FE) model of the electrical machine so to estimate all the loss components present in the real scenario. The results of the carried out study gives a wide understanding of the interaction between the two subsystems and some general design considerations needed to select the converter topology.","PeriodicalId":13098,"journal":{"name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","volume":"1119 1","pages":"4357-4362"},"PeriodicalIF":0.0,"publicationDate":"2017-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76786676","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 : 2017-10-31DOI: 10.1109/IECON.2017.8217289
M. Rivera, P. Wheeler, José R. Rodríguez, Bin Wu
Predictive control has recently emerged as a promising alternative to more traditional methods for the control and modulation of power converters. This paper presents an overview of predictive control techniques applied to matrix converters. The paper highlights that predictive control strategy is a promising alternative to conventional modulator based linear control for matrix converters due to its simplicity and flexibility to include additional constraints within the control to have it suitable for different applications. In addition to describing many advantages of predictive control techniques, its limitations and weaknesses are also discussed along with some future trends and applications. Most important control aspects of predictive control are demonstrated through simulation analysis.
{"title":"A review of predictive control techniques for matrix converter applications","authors":"M. Rivera, P. Wheeler, José R. Rodríguez, Bin Wu","doi":"10.1109/IECON.2017.8217289","DOIUrl":"https://doi.org/10.1109/IECON.2017.8217289","url":null,"abstract":"Predictive control has recently emerged as a promising alternative to more traditional methods for the control and modulation of power converters. This paper presents an overview of predictive control techniques applied to matrix converters. The paper highlights that predictive control strategy is a promising alternative to conventional modulator based linear control for matrix converters due to its simplicity and flexibility to include additional constraints within the control to have it suitable for different applications. In addition to describing many advantages of predictive control techniques, its limitations and weaknesses are also discussed along with some future trends and applications. Most important control aspects of predictive control are demonstrated through simulation analysis.","PeriodicalId":13098,"journal":{"name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","volume":"37 1","pages":"7360-7365"},"PeriodicalIF":0.0,"publicationDate":"2017-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73803573","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 : 2017-10-29DOI: 10.1109/IECON.2017.8216237
I. Laird, Bosen Jin, N. McNeill, Xibo Yuan
The superior electrical and thermal properties of silicon carbide (SiC), when compared to silicon (Si), has lead to it being used in power converter designs that require high efficiency and low volume. However while choosing the semi-conductor material for these high performance designs is relatively simple, the specific type of SiC device (e.g. JFET, MOSFET or BJT) is not so straight-forward. This paper compares the performance of 2-level, 3-phase DC/AC converters that were constructed with SiC MOSFETs and then SiC BJTs. From this comparison it was shown that the SiC BJT converter, using proportional regenerative gate drivers, produced results similar to the MOSFET converter whose gate drivers had an RG = 12.5Ω. The results also showed that the SiC MOSFETs could be successfully driven with zero gate resistance and the reverse recovery energy losses of the MOSFET's body diode were minimal indicating that there is no need for an additional external Schottky diode unlike the SiC BJT.
{"title":"Performance comparison of 3-phase DC/AC converters using SiC MOSFETs or SiC BJTs","authors":"I. Laird, Bosen Jin, N. McNeill, Xibo Yuan","doi":"10.1109/IECON.2017.8216237","DOIUrl":"https://doi.org/10.1109/IECON.2017.8216237","url":null,"abstract":"The superior electrical and thermal properties of silicon carbide (SiC), when compared to silicon (Si), has lead to it being used in power converter designs that require high efficiency and low volume. However while choosing the semi-conductor material for these high performance designs is relatively simple, the specific type of SiC device (e.g. JFET, MOSFET or BJT) is not so straight-forward. This paper compares the performance of 2-level, 3-phase DC/AC converters that were constructed with SiC MOSFETs and then SiC BJTs. From this comparison it was shown that the SiC BJT converter, using proportional regenerative gate drivers, produced results similar to the MOSFET converter whose gate drivers had an RG = 12.5Ω. The results also showed that the SiC MOSFETs could be successfully driven with zero gate resistance and the reverse recovery energy losses of the MOSFET's body diode were minimal indicating that there is no need for an additional external Schottky diode unlike the SiC BJT.","PeriodicalId":13098,"journal":{"name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","volume":"4 1","pages":"1393-1398"},"PeriodicalIF":0.0,"publicationDate":"2017-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84434335","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 : 2017-10-29DOI: 10.1109/IECON.2017.8217062
Zhiqiang Huo, Yu Zhang, R. Sath, Lei Shu
Fault diagnosis of roller bearings in rotating machinery is of great significance to identify latent abnormalities and failures in industrial plants. This paper presents a new self-adaptive fault diagnosis system for different conditions of roller bearings using InfraRed Thermography (IRT). In the first stage of the proposed system, 2-Dimensional Discrete Wavelet Transform (2D-DWT) and Shannon entropy are applied respectively to decompose images and seek for the desired decomposition level of the approximation coefficients. After that, the histograms of selected coefficients are used as an input of the feature space selection method by using Genetic Algorithm (GA) and Nearest Neighbor (NN), for the purpose of selecting two salient features that can achieve the highest classification accuracy. The results have demonstrated that the proposed scheme can be employed effectively as an intelligent system for bearing fault diagnosis in rotating machinery.
{"title":"Self-adaptive fault diagnosis of roller bearings using infrared thermal images","authors":"Zhiqiang Huo, Yu Zhang, R. Sath, Lei Shu","doi":"10.1109/IECON.2017.8217062","DOIUrl":"https://doi.org/10.1109/IECON.2017.8217062","url":null,"abstract":"Fault diagnosis of roller bearings in rotating machinery is of great significance to identify latent abnormalities and failures in industrial plants. This paper presents a new self-adaptive fault diagnosis system for different conditions of roller bearings using InfraRed Thermography (IRT). In the first stage of the proposed system, 2-Dimensional Discrete Wavelet Transform (2D-DWT) and Shannon entropy are applied respectively to decompose images and seek for the desired decomposition level of the approximation coefficients. After that, the histograms of selected coefficients are used as an input of the feature space selection method by using Genetic Algorithm (GA) and Nearest Neighbor (NN), for the purpose of selecting two salient features that can achieve the highest classification accuracy. The results have demonstrated that the proposed scheme can be employed effectively as an intelligent system for bearing fault diagnosis in rotating machinery.","PeriodicalId":13098,"journal":{"name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","volume":"39 1","pages":"6113-6118"},"PeriodicalIF":0.0,"publicationDate":"2017-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85160011","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 : 2017-10-29DOI: 10.1109/IECON.2017.8217368
Luis A. M. Barros, V. Monteiro, B. Exposto, A. Nogueiras, J. Afonso, J. G. Pinto
This paper presents a novel multifunctional push-pull converter for micro-inverter applications, used to interface photovoltaic (PV) modules and an battery energy storage system with the power grid (PG). The push-pull DC-DC power converter requires only two switching devices. It uses a specific algorithm to control the batteries charging process, preserving their lifetime, and also to operate as maximum power point tracker, optimizing the energy production from the PVs modules. The push-pull DC-AC power converter operates in coordination with the DC-DC converter, injecting all available energy from the PVs modules into the PG. If the produced energy exceeds the consumed energy, the surplus is used to charge the batteries for latter consumption. The proposed topology aims to contribute to the technological development in terms of power converters for micro-inverter applications. Throughout the paper is given a detailed explanation on the principle of operation of the new topology, as well as on the proposed digital control algorithm.
{"title":"New multifunctional push-pull converter operating with MPPT and integrated energy storage system for PV micro-inverter applications","authors":"Luis A. M. Barros, V. Monteiro, B. Exposto, A. Nogueiras, J. Afonso, J. G. Pinto","doi":"10.1109/IECON.2017.8217368","DOIUrl":"https://doi.org/10.1109/IECON.2017.8217368","url":null,"abstract":"This paper presents a novel multifunctional push-pull converter for micro-inverter applications, used to interface photovoltaic (PV) modules and an battery energy storage system with the power grid (PG). The push-pull DC-DC power converter requires only two switching devices. It uses a specific algorithm to control the batteries charging process, preserving their lifetime, and also to operate as maximum power point tracker, optimizing the energy production from the PVs modules. The push-pull DC-AC power converter operates in coordination with the DC-DC converter, injecting all available energy from the PVs modules into the PG. If the produced energy exceeds the consumed energy, the surplus is used to charge the batteries for latter consumption. The proposed topology aims to contribute to the technological development in terms of power converters for micro-inverter applications. Throughout the paper is given a detailed explanation on the principle of operation of the new topology, as well as on the proposed digital control algorithm.","PeriodicalId":13098,"journal":{"name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","volume":"5 1","pages":"7807-7812"},"PeriodicalIF":0.0,"publicationDate":"2017-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75126920","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 : 2017-10-29DOI: 10.1109/IECON.2017.8217393
S. Pang, B. Nahid-Mobarakeh, S. Pierfederici, Y. Huangfu, Guangzhao Luo, F. Gao
It is well know that the interaction between poorly damped LC input filter with dc-dc converter lead to degradation of dynamic performance and fault scenario of the system. This problem also often occurs in fuel cell systems. Due to the relatively low and unregulated output voltage, the high gain boost converter is need in such application. A floating interleaved boost converter (FIBC) is selected as a good candidate to achieve this desired effect. In order to ensure the system stability, this paper addresses a method which permits to design a fault-tolerant stabilizing system for the proposed converter and the filter. It consists in implementing an active stabilizer for each switch. Afterward, a method to design fault-tolerant stabilizing system is developed. The simulation results are reported to verify the effectiveness of the proposed method.
{"title":"Fault-tolerant consideration and active stabilization for floating interleaved boost converter system","authors":"S. Pang, B. Nahid-Mobarakeh, S. Pierfederici, Y. Huangfu, Guangzhao Luo, F. Gao","doi":"10.1109/IECON.2017.8217393","DOIUrl":"https://doi.org/10.1109/IECON.2017.8217393","url":null,"abstract":"It is well know that the interaction between poorly damped LC input filter with dc-dc converter lead to degradation of dynamic performance and fault scenario of the system. This problem also often occurs in fuel cell systems. Due to the relatively low and unregulated output voltage, the high gain boost converter is need in such application. A floating interleaved boost converter (FIBC) is selected as a good candidate to achieve this desired effect. In order to ensure the system stability, this paper addresses a method which permits to design a fault-tolerant stabilizing system for the proposed converter and the filter. It consists in implementing an active stabilizer for each switch. Afterward, a method to design fault-tolerant stabilizing system is developed. The simulation results are reported to verify the effectiveness of the proposed method.","PeriodicalId":13098,"journal":{"name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","volume":"72 1","pages":"7947-7952"},"PeriodicalIF":0.0,"publicationDate":"2017-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89492717","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 : 2017-10-29DOI: 10.1109/IECON.2017.8217482
Zhiqiang Huo, Yu Zhang, Lei Shu
Fault diagnosis of incipient crack failure in rotating shafts allows the detection and identification of performance degradation as early as possible in industrial plants, such as downtime and potential injury to personnel. The present work studies the performance and effectiveness of crack fault detection by means of applying wavelet packet decomposition (WPD) and empirical mode decomposition (EMD) on fault diagnosis of rotating shafts using multiscale entropy (MSE). After WPD and EMD, the most sensitive reconstruction vectors and intrinsic mode functions (IMFs) are selected using Shannon entropy. Then, these feature vectors are fed into support vector machine (SVM) for fault classification, where the entropy features represent the complexity of vibration signals with different scales. Experimental results have demonstrated that WPD combined with MSE can achieve an accuracy of 97.3% for crack fault detection in rotating shafts, whilst EMD combined with MSE has shown a higher detection rate of 98.5%.
{"title":"A comparative study of WPD and EMD for shaft fault diagnosis","authors":"Zhiqiang Huo, Yu Zhang, Lei Shu","doi":"10.1109/IECON.2017.8217482","DOIUrl":"https://doi.org/10.1109/IECON.2017.8217482","url":null,"abstract":"Fault diagnosis of incipient crack failure in rotating shafts allows the detection and identification of performance degradation as early as possible in industrial plants, such as downtime and potential injury to personnel. The present work studies the performance and effectiveness of crack fault detection by means of applying wavelet packet decomposition (WPD) and empirical mode decomposition (EMD) on fault diagnosis of rotating shafts using multiscale entropy (MSE). After WPD and EMD, the most sensitive reconstruction vectors and intrinsic mode functions (IMFs) are selected using Shannon entropy. Then, these feature vectors are fed into support vector machine (SVM) for fault classification, where the entropy features represent the complexity of vibration signals with different scales. Experimental results have demonstrated that WPD combined with MSE can achieve an accuracy of 97.3% for crack fault detection in rotating shafts, whilst EMD combined with MSE has shown a higher detection rate of 98.5%.","PeriodicalId":13098,"journal":{"name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","volume":"31 1","pages":"8441-8446"},"PeriodicalIF":0.0,"publicationDate":"2017-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87062213","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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