Pub Date : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179584
Banalata Bera, Shyh-Chin Huang, Chun-Lin Ling, Jin-Wei Liang, P. Lin
Prognostics and Health Management (PHM) is a promising method of fault diagnosis for making maintenance decisions. For system fault development trends, different statistical or machine learning methods are being used. Unbalance is a fault that causes excessive vibrations in rotary systems, yet it cannot be totally eliminated. Thus, monitoring, and timely maintenance are needed, and this has been a research topic for years. This research forecasts rotating system unbalance faults using machine learning and system mathematical models. A machine-learning-based prognostic approach for unbalance faults in rotary systems is developed. Furthermore, operational datasets from a local petrochemical company on an overhung rotor system are utilized to validate the results. The proposed model is compared with other machine learning or statistical-based models for accuracy using the least root mean square error (RMSE) as the performance criterion. The proposed method has been proven feasible for industrial rotor unbalance prognostics.
{"title":"Online Real-Time Rotating Unbalance Forecast Incorporating Model-Based with Machine Learning Techniques","authors":"Banalata Bera, Shyh-Chin Huang, Chun-Lin Ling, Jin-Wei Liang, P. Lin","doi":"10.1109/ICASI57738.2023.10179584","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179584","url":null,"abstract":"Prognostics and Health Management (PHM) is a promising method of fault diagnosis for making maintenance decisions. For system fault development trends, different statistical or machine learning methods are being used. Unbalance is a fault that causes excessive vibrations in rotary systems, yet it cannot be totally eliminated. Thus, monitoring, and timely maintenance are needed, and this has been a research topic for years. This research forecasts rotating system unbalance faults using machine learning and system mathematical models. A machine-learning-based prognostic approach for unbalance faults in rotary systems is developed. Furthermore, operational datasets from a local petrochemical company on an overhung rotor system are utilized to validate the results. The proposed model is compared with other machine learning or statistical-based models for accuracy using the least root mean square error (RMSE) as the performance criterion. The proposed method has been proven feasible for industrial rotor unbalance prognostics.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121838918","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}
This work presents the effect of a complex hole transport layer (HTL) of poly (3,4-thylenedioxythiophene): poly(styrenesulfonate) (PEDOT: PSS) and MAPbBr3 quantum dots (QDs) in cesium lead bromide perovskite light-emitting diodes (CsPbBr3 PeLEDs) structure. The MAPbBr3 QDs used MAPbBr3 bulk crystals formed by the liquid-phase crystal growth method at constant temperature as the source material. The CsPbBr3 PeLEDs with PEDOT:PSS-MAPbBr3 QDs complexe HTL exhibited the better performance, to compare the CsPbBr3 PeLEDs with PEDOT:PSS-MAPbBr3 QDs complexe HTL, owing to the MAPbBr3 QDs in PEDOT:PSS layer apparently boosted injection efficiency such that the injected holes recombine with electrons in the CsPbBr3 active layer, rapidly, and then and emissions. The best results of luminescence and external quantum efficiency of CsPbBr3 PeLEDs with PEDOT:PSS-MAPbBr3 QDs complex hole transport layer were 10810 cd/m2 and 0.34% at an applied voltage of 5.5 V, respectively.
{"title":"Study of CsPbBr3 Perovskite Light-Emitting Diodes with PEDOT:PSS-MAPbBr3 QDs Complex Hole Transport Layer","authors":"Chi-Ta Li, Sea-Fue Wang, You Wei, Haixing Chang, Qiming Zhao, Lung-Chien Chen","doi":"10.1109/ICASI57738.2023.10179553","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179553","url":null,"abstract":"This work presents the effect of a complex hole transport layer (HTL) of poly (3,4-thylenedioxythiophene): poly(styrenesulfonate) (PEDOT: PSS) and MAPbBr<inf>3</inf> quantum dots (QDs) in cesium lead bromide perovskite light-emitting diodes (CsPbBr<inf>3</inf> PeLEDs) structure. The MAPbBr<inf>3</inf> QDs used MAPbBr<inf>3</inf> bulk crystals formed by the liquid-phase crystal growth method at constant temperature as the source material. The CsPbBr<inf>3</inf> PeLEDs with PEDOT:PSS-MAPbBr<inf>3</inf> QDs complexe HTL exhibited the better performance, to compare the CsPbBr<inf>3</inf> PeLEDs with PEDOT:PSS-MAPbBr<inf>3</inf> QDs complexe HTL, owing to the MAPbBr<inf>3</inf> QDs in PEDOT:PSS layer apparently boosted injection efficiency such that the injected holes recombine with electrons in the CsPbBr<inf>3</inf> active layer, rapidly, and then and emissions. The best results of luminescence and external quantum efficiency of CsPbBr<inf>3</inf> PeLEDs with PEDOT:PSS-MAPbBr<inf>3</inf> QDs complex hole transport layer were 10810 cd/m<sup>2</sup> and 0.34% at an applied voltage of 5.5 V, respectively.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127446801","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}
Some eye diseases require round-the-clock intraocular pressure (IOP) monitoring, for example, glaucoma. In this paper, we propose sensor prototypes with an LC resonance structure for wireless passive IOP monitoring. The LC sensor will be expected to be combined with contact lenses, so the sensor shape is designed as a circular ring structure. The performance of two LC sensor prototypes made using a flexible printed circuit board was simulated and measured. The resonance frequency of the LC sensor with a two-turn spiral inductor is 89.0 MHz and that with a three-turn spiral inductor is 46.5 MHz.
{"title":"Design and Analysis of Wireless Passive LC Sensor Prototypes for Intraocular Pressure Monitoring","authors":"Po-Yan Wang, Jau‐Ji Jou, Chih-Lung Tseng, Chun-Liang Yang, Tsong-Yi Chen, Tien-Tsorng Shih","doi":"10.1109/ICASI57738.2023.10179569","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179569","url":null,"abstract":"Some eye diseases require round-the-clock intraocular pressure (IOP) monitoring, for example, glaucoma. In this paper, we propose sensor prototypes with an LC resonance structure for wireless passive IOP monitoring. The LC sensor will be expected to be combined with contact lenses, so the sensor shape is designed as a circular ring structure. The performance of two LC sensor prototypes made using a flexible printed circuit board was simulated and measured. The resonance frequency of the LC sensor with a two-turn spiral inductor is 89.0 MHz and that with a three-turn spiral inductor is 46.5 MHz.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129661768","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 : 2023-04-21DOI: 10.1109/icasi57738.2023.10179563
Cheng-En Ye, C.C. Tai
Partial shading conditions cause power losses of the photovoltaic (PV) array. This paper proposes a Bundle SuDoKu puzzle (Bundle SDKP) topology for static reconfiguration. To mitigate the shading effects in PV arrays and reduce the wiring length, the proposed topology adopts a combined set rule and the digit replacement procedure. Evaluation results demonstrate that the proposed Bundle SDKP features advantages, such as efficient shade dispersion, wiring loss reduction, simplification of power-voltage curves, and extracted power increase.
{"title":"Enhanced Power Generation from Photovoltaic Arrays Using a Novel Static Reconfiguration Circuit","authors":"Cheng-En Ye, C.C. Tai","doi":"10.1109/icasi57738.2023.10179563","DOIUrl":"https://doi.org/10.1109/icasi57738.2023.10179563","url":null,"abstract":"Partial shading conditions cause power losses of the photovoltaic (PV) array. This paper proposes a Bundle SuDoKu puzzle (Bundle SDKP) topology for static reconfiguration. To mitigate the shading effects in PV arrays and reduce the wiring length, the proposed topology adopts a combined set rule and the digit replacement procedure. Evaluation results demonstrate that the proposed Bundle SDKP features advantages, such as efficient shade dispersion, wiring loss reduction, simplification of power-voltage curves, and extracted power increase.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129781014","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}
A convolutional neural network accelerator that can efficiently process AlexNet’s convolutional neural network architecture is developed. The processing element (PE) array can perform operations on each layer of convolution by simply setting the input feature map (ifmap) size, filter size, and other convolutional model settings before inputting data. The PE array then selects the optimal segmentation method based on these settings for each operation. The calculation values are transmitted through a data bus from the global buffer, which stores input feature maps, filters, and other relevant data. The partial sums obtained by the PE operation are also transmitted back to the global buffer through the data bus. After the complete operation, the output feature map is passed through the ReLU function and data compression encoder before being transmitted back to the off-chip memory through another data bus. Both numbers and times of ifmap passed will be greater than those of filters. To accommodate the high throughput of ifmap, the width of the scratch pad (spad) and buses for ifmap are designed to be larger.
{"title":"A High Efficiency Hardware Accelerator for Convolution Neural Network","authors":"Chiao-Yu Liang, Yang-Rwei Chang, Po-Hsiang Yang, Horng-Yuan Shih","doi":"10.1109/ICASI57738.2023.10179516","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179516","url":null,"abstract":"A convolutional neural network accelerator that can efficiently process AlexNet’s convolutional neural network architecture is developed. The processing element (PE) array can perform operations on each layer of convolution by simply setting the input feature map (ifmap) size, filter size, and other convolutional model settings before inputting data. The PE array then selects the optimal segmentation method based on these settings for each operation. The calculation values are transmitted through a data bus from the global buffer, which stores input feature maps, filters, and other relevant data. The partial sums obtained by the PE operation are also transmitted back to the global buffer through the data bus. After the complete operation, the output feature map is passed through the ReLU function and data compression encoder before being transmitted back to the off-chip memory through another data bus. Both numbers and times of ifmap passed will be greater than those of filters. To accommodate the high throughput of ifmap, the width of the scratch pad (spad) and buses for ifmap are designed to be larger.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"29 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121861164","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：