Predictive Maintenance of VRLA Batteries in UPS towards Reliable Data Centers July 2020 Conference: IFAC World Congress 2020At: Berlin, Germany Project: Artificial Intelligence for Cyber Physical Systems Authors: Jing-Xian Tang Tsinghua University Jin-Hong Du Carnegie Mellon University Lin Yiting Sun Yat-Sen University Qing-Shan Jia Tsinghua University Abstract: The reliability of data centers can be severely aected when battery failure occurs in the Uninterruptible Power Supply (UPS). Thus it has become a central issue for the industry to discover failure-impending batteries in UPS. In this paper, we consider this important problem and present a data-driven method for predictive battery maintenance. The major contributions are as follows.First, we develop a changepoint detection technique for ecient data labeling. Second, new features are designed to fully utilize the dataset. Third, we build a predictive classication model which can discriminate between healthy and failure-impending batteries. Our method has been built and evaluated on 209,912,615 records from Tencent data center involving nearly 300 batteries monitored over 2 years. The experiment on test set shows that our method is able to predict battery replacement with 98% accuracy and averagely 15 days in advance, which outperforms the previous maintenance policy by more than 8%.
segunda-feira, 4 de outubro de 2021
Predictive Maintenance of VRLA Batteries in UPS towards Reliable Data Centers July 2020 Conference: IFAC World Congress 2020At: Berlin, Germany Project: Artificial Intelligence for Cyber Physical Systems Authors: Jing-Xian Tang Tsinghua University Jin-Hong Du Carnegie Mellon University Lin Yiting Sun Yat-Sen University Qing-Shan Jia Tsinghua University
Predictive Maintenance of VRLA Batteries in UPS towards Reliable Data Centers July 2020 Conference: IFAC World Congress 2020At: Berlin, Germany Project: Artificial Intelligence for Cyber Physical Systems Authors: Jing-Xian Tang Tsinghua University Jin-Hong Du Carnegie Mellon University Lin Yiting Sun Yat-Sen University Qing-Shan Jia Tsinghua University Abstract: The reliability of data centers can be severely aected when battery failure occurs in the Uninterruptible Power Supply (UPS). Thus it has become a central issue for the industry to discover failure-impending batteries in UPS. In this paper, we consider this important problem and present a data-driven method for predictive battery maintenance. The major contributions are as follows.First, we develop a changepoint detection technique for ecient data labeling. Second, new features are designed to fully utilize the dataset. Third, we build a predictive classication model which can discriminate between healthy and failure-impending batteries. Our method has been built and evaluated on 209,912,615 records from Tencent data center involving nearly 300 batteries monitored over 2 years. The experiment on test set shows that our method is able to predict battery replacement with 98% accuracy and averagely 15 days in advance, which outperforms the previous maintenance policy by more than 8%.
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sexta-feira, 1 de outubro de 2021
Comparing Quasi-Resonant and Active Clamp Flyback Topologies for 65W Wall Charger Applications Using GaN Technology-By Harshit Soni and Rajesh Ghosh, Tagore Technology Inc.-MAGAZINE BODO´S POWER SYSTEM AUGUST 2021
LINK PAPER WEB: https://ieeexplore.ieee.org/document/9487353
quinta-feira, 30 de setembro de 2021
A Novel Analog Circuit Design for Maximum Power Point Tracking of Photovoltaic Panels Nesrine Mhiri, Abdulrahman Alahdal, Hamza Ghulman, and Anis Ammous Power Electronics Group (PEG), National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia 2DEE, Umm Al Qura University, Makkah, Saudi Arabia
A Novel Analog Circuit Design for Maximum Power Point
Tracking of Photovoltaic Panels
Nesrine Mhiri,1 Abdulrahman Alahdal,2 Hamza Ghulman,2 and Anis Ammous1,2
Power Electronics Group (PEG), National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia
DEE, Umm Al Qura University, Makkah, Saudi Arabia
Correspondence should be addressed to Anis Ammous; aaammous@uqu.edu.sa
Received 7 April 2017; Revised 20 June 2017; Accepted 26 July 2017; Published 25 September 2017
Academic Editor: Mohamed Orabi
Copyright © 2017 Nesrine Mhiri et al. This is an open access article distributed under the Creative Commons Attribution License,
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
A new analog technique is proposed in order to track the maximum power point (MPP) of PV panels. The proposed technique
uses the well-known simple functions of electronic circuits. The proposed technique is validated by applying it to boost based off
grid PV system. The simulation of the PV system was done on the circuit oriented simulator Proteus-ISIS. A good efficiency of the
analog technique (more than 98%) was registered. The variation of irradiation was introduced in order to study the robustness of
the proposed analog MPPT technique.
domingo, 26 de setembro de 2021
Integrated Magnetic Component of a Transformer and a Magnetically Coupled Inductor for a Three-Port DC-DC Converter Shuntaro Inoue, Kenichi Itoh, Masanori Ishigaki, Takahide Sugiyama 2020 Volume 9 Issue 6 Pages 713-722 IEEJ Journal of Industry Applications
Integrated Magnetic Component of a Transformer and a Magnetically Coupled Inductor for a Three-Port DC-DC Converter Shuntaro Inoue, Kenichi Itoh, Masanori Ishigaki, Takahide Sugiyama 2020 Volume 9 Issue 6 Pages 713-722 IEEJ Journal of Industry Applications
ABSTRACT
This paper discusses a design method for a proposed integrated magnetic component for an isolated bidirectional three-port DC-DC converter (TPC). TPC comprises a dual active bridge converter (DAB) and a non-isolated bidirectional DC-DC converter (NBC); each converter is independently controlled with a transformer and a magnetically coupled inductor. To reduce the size of the magnetic components, an integrated magnetic component that can integrate a magnetically coupled inductor and a transformer is implemented. A 750-W magnetically integrated TPC prototype was constructed and tested to validate the operation. The experimental results show that the efficiency of the integrated TPC is above 90% for the entire output power range, which is nearly equal to that of the conventional magnetic component. As a result, the proposed component was 10% smaller than the conventional magnetic components, and the overall size of the integrated TPC was 33% smaller than that of the conventional one.
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Load Current Distribution between Parallel Inverters based on Capacitor Voltage Control for UPS Applications Mohammad Bani Shamseh, Teruo Yoshino, Atsuo Kawamura--IEEJ Journal of Industry Applications-
Load Current Distribution between Parallel Inverters based on Capacitor Voltage Control for UPS Applications
Mohammad Bani Shamseh, Teruo Yoshino, Atsuo Kawamura
Author information
IEEJ Journal of Industry Applications
Abstract
Many challenges are encountered when uninterruptible power supply (UPS) modules are operated in parallel to meet the power demand of the load. The circulating current is one prominent example of these challenges that may cause serious damage to equipment. Hence, control algorithms must ensure that the current is shared equally or in proportion to the power ratings of the parallel inverters, while mitigating the circulating current. Another challenge is that all parallel inverters should have equal output voltage, phase, and frequency. This paper proposes a new method to control parallel UPS modules. The method is based on regulating the capacitor voltage of the LCL output filter of each inverter to indirectly control its output current. The method can achieve high accuracy in terms of equal current distribution between the power sources. Simulation and experimental results are presented to verify the theoretical analysis.
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