{"title":"A Multi-dilated Fusion Convolutional Neural Network for Fault Diagnosis of Rolling Bearings","authors":"Yadong Xu, Ke Feng, Xiaoan Yan, Beibei Sun","doi":"10.1109/CPEEE56777.2023.10217584","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217584","url":null,"abstract":"It is of great significance to implement real-time and effective condition monitoring and fault diagnosis for rolling bearings. Traditional model-based approaches rely heavily on previous experience and expert knowledge, which hinders their practicality in the industrial field. To cope with this problem, we develop a novel CNN mode called a multi-dilated fusion convolutional neural network (MF-CNN) for bearing fault diagnosis in this study. First of all, a CNN model with 1-D convolutional operations is developed to learn features directly from vibration signals. Then, a multi-dilated fusion module (MDFM) is developed to guide the CNN model to extract features from vibration signals at multiple levels. MDFM adopts dilated convolutions with different dilation rates to enlarge the receptive field. Finally, the MF-CNN architecture is built based on the above improvements. Some experiments are carried out to verify the effectiveness of the proposed MF-CNN. Experimental results suggest that MF-CNN outperforms some state-of-the-art approaches.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116442450","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}
W. Jaikla, Surapong Siripongdee, R. Sotner, P. Suwanjan
{"title":"Single VDDDA-Based Lossy Inductance Simulator for Application to Sinusoidal Oscillator","authors":"W. Jaikla, Surapong Siripongdee, R. Sotner, P. Suwanjan","doi":"10.1109/CPEEE56777.2023.10217533","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217533","url":null,"abstract":"This work presents the design of a new grounded lossy inductance simulator. The proposed circuit emulates an inductor in parallel with a negative resistor, making it applicable to the design of a sinusoidal oscillator. The proposed simulator comprises a voltage differencing differential difference amplifier (VDDDA), a resistor, and a grounded capacitor. The proposed active inductor necessitates no essential matching criteria for passive elements. The equivalent inductance and negative resistance can be controlled electronically. Moreover, the parallel RLC and negative resistance configuration-based sinusoidal oscillator is designed as an example of its application. The oscillation frequency and condition are adjusted orthogonally. The performance of the proposed simulator circuit and the sinusoidal oscillator is evaluated using Pspice simulation and experimentation with VDDDA built from ICs AD830 and LM13700. The simulation and experimental results validate the behavior of the theory.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130384414","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}
Xuncheng Chi, Fengxiang Chen, Tiande Mo, Yu Li, Bo Wu
{"title":"Optimal Operating Concentration Control for Direct Methanol Fuel Cell System by Considering Energy Conversion Efficiency","authors":"Xuncheng Chi, Fengxiang Chen, Tiande Mo, Yu Li, Bo Wu","doi":"10.1109/CPEEE56777.2023.10217479","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217479","url":null,"abstract":"Direct methanol fuel cell (DMFC) is considered as promising portable power supply at hectowatt level due to its low working temperature and high energy density. This article investigates a sliding mode control to generate stable operating methanol concentration for DMFC system by considering energy conversion efficiency according to different load demands. The model of DMFC system is established to describe the material flow as well as output performance. To achieve the maximum energy conversion efficiency under the required power demand, the reference methanol concentration is determined by analyzing the DMFC system output power as well as the reaction/crossover methanol flow rate. The sliding mode algorithm is adopted to track reference methanol concentration and the simulation results show that compared with fixed methanol concentration (e.g., concentration of 0.3 mo1/L and 0.4 mol/L), the proposed optimal methanol concentration can increase the energy conversion efficiency by 2.3% and 5.6%, as well as reduce the methanol consumption by 8.6% and 18.9% respectively.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126577226","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}
{"title":"Evaluating, Modeling and Predicting of the Differential Consumption Profiles for Residential Customers Subscribed to Dynamic Pricing Tariffs","authors":"A. Delavari","doi":"10.1109/CPEEE56777.2023.10217640","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217640","url":null,"abstract":"Intermittent renewable energy sources and end-use electrification such as transportation and heating introduce a significant challenge for the reliability of the power grid. In order to deal with this important challenge, utilities put in place different demand-side management mechanism such as demand response programs and dynamic tariffication (DT) to shift electricity consumption outside peak period. To meet new needs and to respond to changes in the energy market, Hydro-Quebec undertakes an important research project, named SCÉNARIO, to simulate the impact of the different customers’ load profiles on the network. Dynamic pricing is one of the components of SCÉNARIO project which aimes to assess the impact of customer behavior on the distribution network during demand management. In this paper, we propose an algorithm for evaluating, modeling and predicting of the differential consumption profiles for residential customers subscribed to dynamic pricing tariffs. These kinds of investigations allow the power system planners to evaluate and predict the impact of the dynamic pricing programs on the power system behavior.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125738673","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}
Pauly P Jithin, Bandi Venkata Nagachandra, C. Prabhakar, G. Pandian
{"title":"Impact of Time Duration on Energy Injected during the Test to Verify Repetitive Charge Transfer Rating","authors":"Pauly P Jithin, Bandi Venkata Nagachandra, C. Prabhakar, G. Pandian","doi":"10.1109/CPEEE56777.2023.10217591","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217591","url":null,"abstract":"Surge arresters prevents the failure of power system equipment during high voltage transients. These transients can be switching, lightning, steep current impulse etc. The latest edition of IEC 60099-4 has introduced the test to verify repetitive charge transfer rating, in order to evaluate the charge carrying capability of surge arrester varistor blocks during the event of high energy surges. Station class varistor blocks can be tested using rectangular impulses or unipolar sine half-wave impulses of 2ms to 4ms virtual total duration. In this paper, we analyse the impact of time duration on energy injected during the test to verify repetitive charge transfer rating. Study is performed on Station Low (SL), Station Medium (SM) and Station High (SH) designation blocks using rectangular impulse wave shape for various time duration between 2ms to 4ms and its impact on the energy injected through the block is quantified and analyzed.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127426852","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}
Wan Nor Anasuhah WanYusoff, N. A. Baharuddin, M. R. Somalu, N. Brandon
{"title":"Preliminary Assessment of Ru-Doped LiNiO2 as a Dual-Functioning Electrode for Solid Oxide Fuel Cells","authors":"Wan Nor Anasuhah WanYusoff, N. A. Baharuddin, M. R. Somalu, N. Brandon","doi":"10.1109/CPEEE56777.2023.10217363","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217363","url":null,"abstract":"Durability constraints with electrode materials have become a rising focus of study in the development of electrode materials. A brand-new breakthrough configuration has come to the forefront in the advancing SOFC application. This novel form, known as symmetrical SOFC (S-SOFC), is a major topic in fuel cell development. By integrating lithiated nickel oxide-based materials that are typically used in lithium-ion battery applications and making them applicable for S-SOFC applications. The sol gel technique was used to synthesize the precursor lithiated nickel oxide with ruthenium as a dopant. This approach was deemed the most appropriate for handling lithiated materials in terms of effort, cost, and timeliness. As a result, the focus of these studies will be on initial work, especially the characterization and chemical performance of lithiated nickel doped ruthenium, abbreviated as $mathrm{LN}_{1-mathrm{x}} mathrm{R}_{mathrm{x}} mathrm{O}_{2}(mathrm{x}=0.4$ and 0.5) with various dopant compositions. The LNRO-based powder was analyzed in both oxidizing and reducing conditions to imitate the operating environment of a dual-functioning electrode. The symmetrical cell with the configuration $mathrm{LNRx} / mathrm{SDC} / mathrm{LNRx}$ was screen-printed and heat treated for 2 hours at $800{}^{circ} mathrm{C}$. As this electrode material has two functions, just one heat treatment step is necessary to assure the electrode is effectively attached to the electrolyte substrate (SDC). The samples were next examined for electrical conductivity of the electrode and, finally, EIS analysis. In a reduced environment (mixed gas of $mathrm{H}_{2}: mathrm{N}_{2}$), the activation energies for LNR4 and LNR5 are 0.13 and 0.14 eV respectively. Meanwhile, the ASR values derived from the EIS analysis of the best sample LNR4 measured in air and reduced environment at $800{}^{circ} mathrm{C}$ are $2.467 Omega mathrm{cm}^{2}$ and $0.030 Omega mathrm{cm}^{2}$, respectively. The morphological behavior of these components will be thoroughly examined. The findings indicated that the LNR4 dopant has a great potential as an electrode for the S-SOFC application, which is more than just a means to increase SOFC performance.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129565517","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}
{"title":"A Multi-objective Planning and Scheduling Framework for Community Energy Storage Systems in Low Voltage Distribution Networks","authors":"K. Anuradha, C. Mediwaththe, M. Mahmoodi","doi":"10.1109/CPEEE56777.2023.10217548","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217548","url":null,"abstract":"This paper presents a methodology for optimizing the planning and scheduling aspects of a community energy storage (CES) system in the presence of solar photovoltaic (SPV) power in low voltage (LV) distribution networks. To this end, we develop a multi-objective optimization framework that minimizes the real power loss, the energy trading cost of LV customers and the CES provider with the grid, and the investment cost for the CES. Distribution network limits including the voltage constraint are also taken into account by combining the optimization problem with a linearized power flow model. Simulations for the proposed optimization framework with real power consumption and SPV generation data of the customers, highlight both real power loss and energy trading cost with the grid are reduced compared with the case without a CES by nearly 29% and 16%, respectively. Moreover, a case study justifies our methodology is competent in attaining the three objectives better than the optimization models which optimize only the CES scheduling.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133299975","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}