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Investigating explainable transfer learning for battery lifetime prediction under state transitions

eScience 2024年第5期4卷 132-142页

作者： Tianze Lin Sihui Chen Stephen JHarris Tianshou Zhao Yang Liu Jiayu Wan Global Institute of Future Technology Shanghai Jiao Tong UniversityNo.800 Dongchuan RoadShanghai 200240China Department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhen 518055China SUSTech Energy Institute for Carbon Neutrality Southern University of Science and TechnologyShenzhen 518055China Energy Storage and Distributed Resources Division Lawrence Berkeley National LabBerkeleyCA 94720USA Data Science Research CenterDuke Kunshan UniversityNo.8 Duke AvenueKunshan 215316China Center for Advanced Energy System and Reliability Shanghai Jiao Tong UniversityNo.800 Dongchuan RoadShanghai 200240China

Battery lifetime prediction at early cycles is crucial for researchers and manufacturers to examine product quality and promote technology *** learning has been widely utilized to construct data-driven solutions for high-accuracy ***,the internal mechanisms of batteries are sensitive to many factors,such as charging/discharging protocols,manufacturing/storage conditions,and usage *** factors will induce state transitions,thereby decreasing the prediction accuracy of data-driven *** learning is a promising technique that overcomes this difficulty and achieves accurate predictions by jointly utilizing information from various ***,we develop two transfer learning methods,Bayesian Model Fusion and Weighted Orthogonal Matching Pursuit,to strategically combine prior knowledge with limited information from the target dataset to achieve superior prediction *** our results,our transfer learning methods reduce root-mean-squared error by 41%through adapting to the target ***,the transfer learning strategies identify the variations of impactful features across different sets of batteries and therefore disentangle the battery degradation mechanisms and the root cause of state transitions from the perspective of data *** findings suggest that the transfer learning strategies proposed in our work are capable of acquiring knowledge across multiple data sources for solving specialized issues.

关键词： Battery life prediction Transfer learning State transitions Explainability Degradation mechanism

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Vibration study and classification of rotor faults in PM synchronous motor

Vibration study and classification of rotor faults in PM syn...

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作者： Yu, Yinquan Bi, Chao Jiang, Quan Lin, Song Aung, Nay Lin Htun Mamun, A.A. Division of Disk Drive System Data Storage Institute A-Star Singapore 117608 Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore 117608 Singapore

Thanks for the precision engineering technology, motor, especially Permanent Magnet Synchronous Motor can be made as Micro-motor. However, any imprecise rotor parts of this meticulous motor could lead to undesirable vibration and acoustic noise (Yu et al. in 3D influence of unbalanced magnetic pull induced by misalignment rotor in PMSM, APMRC2012, 2012;Bi et al. in Influence of axial asymmetrical rotor in PMAC motor operation, ICEMS, 2011;Bi et al. in Influence of rotor eccentricity to unbalanced-magnetic-pull in pm synchronous motor, ICEMS06, 2006). This paper presents five types of rotor faults design and vibration study of these five types of faults in motor is conducted. Based on the vibration pattern, fuzzy mathematics is employed to classify these five types of rotor faults. © 2014 Springer-Verlag Berlin Heidelberg.

关键词： Precision engineering

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Fema: A Fairness and Efficiency Caching Management Algorithm in Shared Cache

Fema: A Fairness and Efficiency Caching Management Algorithm...

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International Conference on Networking, Architecture, and storage (NAS)

作者： Yong Li Dan Feng Lingfang Zeng Zhan Shi Division of Data Storage System Wuhan National Lab for Optoelectronics Wuhan China

This paper is motivated by our three key observations: (1) there exists a degradation of performance as the interleaved accesses of heterogeneous streams, (2) for the slow stream, sequential accesses suffer huge misses in the prefetching cache, (3) in concurrence paradigm, providing fairness and QoS to concurrent streams is very important which always ignored by the traditional prefetching algorithms. Therefore, we present Fema, a caching management algorithm that enforces the fairness and efficiency for concurrent heterogeneous streams. Fema focuses on three key designs: (1) An adaptive framework (Fema Ada) for prefetching. In the Fema Ada, we propose a rate-aware adjustment of prefetching degree and analysis the optimal partition size. (2) A novel replacement scheme (Fema Rep) in which the accessed data will be firstly evicted to improve the performance. (3) A round robin allocation scheme (Fema Rou) to achieve fairness while as least performance degradation as possible. Results show that Fema is able to achieve averages 81.4% performance improvement over the LRU algorithm, 53.5% over the default Linux Kernel prefetching (LKP) algorithm and 19.0% over the recently proposed practical AMP (adaptive multi-stream prefetching) algorithm. Fema achieves average 74.2% fairness improvement (metric in fair speedup) over the LKP algorithm and 56.5% over the AMP algorithm.

关键词： Prefetching Partitioning algorithms Degradation Resource management Algorithm design and analysis Performance evaluation Equations

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Adaptive sequential prefetching for multiple streams

Adaptive sequential prefetching for multiple streams

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14th International Conference on Web-Age Information Management, WAIM 2013

作者： Li, Yong Feng, Dan Shi, Zhan Liu, Qing School of Computer Huazhong University of Science and Technology Division of Data Storage System Wuhan 430074 China

ISBN: (纸本)9783642395260

Modern storage systems are becoming increasingly consolidated. As a result, there exists a competition for resources among concurrent streams. Sequential prefetching is widely used in modern storage system. Most of them always ignore the impact of diversified access rate of concurrent streams. However the concurrent streams with diversified access rate will introduce several problems. The streams with fast access rate may evict the cache blocks of the streams with slow access rate and lead the slow streams re-fetch the evicted cache blocks in future access, which makes the prefetching wastage and unfairness to the slow streams. We design and implement a novel, adaptive algorithm, named ASPM to solve these problems. Our experiments show that, compared with LRU and AMP, ASPM can achieve significantly improvement in fairness among concurrent streams and slightly in performance (average on 6.8%). © 2013 Springer-Verlag.

关键词： Adaptive algorithms

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Disk array performance prediction with CART-MARS hybrid models

Disk array performance prediction with CART-MARS hybrid mode...

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Asia-Pacific Magnetic Recording Conference (APMRC)

作者： Yong Li Dan Feng Zhan Shi Zhao Zhang Division of Data Storage System Wuhan National Lab for Optoelectronics Wuhan China Department of Electrical and Computer Engineering Iowa State University Ames Iowa USA

This work presents a new black-box learning-based model to predict the performance of disk array. We focus on predicting how the change of performance with comprised different disks in a disk array. We use CART-MARS hybrid models: the CART methods to model the correlation between the workload and disk array. The MARS methods to construct the delta model for pairs of disk arrays. Compared with direct prediction of performance, the delta model avoids the complexity of modeling the internal architecture and algorithms of a disk array system. Our experiments show that the error ratio of the prediction of delta model is reduced to 16%. By comparison, the error ratio of the direct prediction is 29%, which is almost two times larger than delta model.

关键词： Predictive models Arrays Computational modeling Analytical models Mars Performance evaluation Accuracy

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Lattice Parameter Determination of Textured Co 81−x Cr 15 Pt x Ta 4 Thin Films

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MRS Online Proceedings Library 2011年第1期562卷 117-122页

作者： B. Lu S. D. Harkness W. A. Lewis D. E. Laughlin D. N. Lambeth Data Storage System Center Carnegie Mellon University Pittsburgh USA Intevac Vacuum Systems Division Santa Clara USA

The thin films Co81−xCr15PtxTa4 with (0002) crystallographic texture have been sputter deposited with and without substrate bias. The lattice parameter of the thin films has been determined by a combination of x-ray diffraction and electron diffraction techniques. The resolution of the electron diffraction was enhanced by a digital imaging technique. The variation rate of the a lattice parameter with Pt content is consistent with Vegard’s law. The change in the c lattice parameter is much greater than what is expected from Vegard’s law.

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Cache blocks: An efficient scheme for solid state drives without DRAM cache

Cache blocks: An efficient scheme for solid state drives wit...

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IEEE International Conference on Networking, Architecture and storage

作者： Wu, Fei Chen, Xiang Wan, Jiguang Key Laboratory of Data Storage System School of Computer Science and Technology Huazhong University of Science and Technology Wuhan Hubei 430074 China Division of Data Storage System Wuhan National Laboratory for Optoelectronics China

ISBN: (纸本)9780769541341

Most solid state drives use DRAM for device's cache, the volatile memory provides the I/O Caching ability, and maintains the drives' mapping table (indicates the correspondence between physical unit and logical unit). However, when the drives' power shut down unexpected, the volatile DRAM memory may lose the caching data, which did not have time to write to the drives' storage media, so the dirty data generated. This paper proposes an efficient management scheme for low cost Solid State Drives, with low cost ASIC controller chip, only has internal SRAM memory, and no external DRAM. We use a kind of Cache Blocks: when write requests come, write in these areas first, and write in the sequentially physical place, and the limited internal SRAM for the mapping tables maintaining and data transferring. We propose some efficient methods: 1)using flash memory as cache, 2) page mapping for cache blocks regions, block mapping for data blocks regions, 3) binding two planes operation, 4) using the idle internal plane SRAM as data buffer to improve the I/O performance, without DRAM. So we avoid the dirty data when the power loses unexpected. And this scheme is energy-efficient and low cost. We test the scheme on our own SSD test board, with the pool SRAM size, the I/O performances do not decrease two much, and the random write even better about 20%, compare to the SSD with DRAM. The experiment also shows, this scheme cuts about 21% energy than the DRAM architecture. And it may be adapted in consumer electronics area. © 2010 IEEE.

关键词： Dynamic random access storage

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USP: A lightweight file system management framework

USP: A lightweight file system management framework

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IEEE International Conference on Networking, Architecture and storage

作者： Shi, Zhan Feng, Dan Zhao, Heng Zeng, Lingfang School of Computer Huazhong University of Science and Technology Division of Data Storage System Wuhan 430074 China

ISBN: (纸本)9780769541341

With data amount growing at an ever increasing rate, file system, as the basis of data management, its functionality and content are becoming more and more complex. Thus the file system is forced to be upgraded constantly, in order to satisfy the growing demands. However, the reinvention of new file systems is always a high-cost task. Although there are frameworks such as User-space File system that may help speeding up the development process, ease the pain of deploying new functions, they also bring in significant overhead, especially when file operation frequency is fairly high. We designed and implemented a lightweight file system management framework based on LD-PRELOAD in user-space referred to as User-Space Preload (USP), and tested several management tasks with it. According to the comparison with FUSE, USP-based file system management achieved an obvious performance improvement. © 2010 IEEE.

关键词： Information management

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A low cost and inner-round pipelined design of ECB-AES-256 crypto engine for Solid State Disk

A low cost and inner-round pipelined design of ECB-AES-256 c...

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IEEE International Conference on Networking, Architecture and storage

作者： Wu, Fei Wang, Liang Wan, Jiguang Division of Data Storage System School of Computer Science and Technology Huazhong University of Science and Technology Hubei 430074 China

ISBN: (纸本)9780769541341

Solid-State Disks (SSD) are widely used in government and security departments owing to its faster speed of data access, more durability, more shock and drop, no noise, lower power consumption, lighter weight compared with Magnetic disk. As a result, the demand of security for storing data has been generated. The Advanced Encryption Standard (AES) is today's key data encryption standard for protecting data, but the implementation of high-speed AES encryption engine needs to consume a large number of hardware resources. This paper presents a low-cost and inner-round pipelined ECB-256-AES encryption engine. Through sharing the resources between the AES encryption module and the AES decryption module and using the look-up table for the SubBytes and InvSubBytes operations, the logic resources have been largely reduced;by using loop rolling and innerround pipelined techniques, a high throughput of encryption and decryption operations is achieved. A 1.986Gbits/s throughput and 232.748MHz clock frequency are achieved using 614 slices of the Xilinx xc6slx45-3fgg484. The simulation results show that the AES crypto design is able to meet the read and write speed of SATA 1.0 interface. © 2010 IEEE.

关键词： Engines

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Cache Blocks: An Efficient Scheme for Solid State Drives without DRAM Cache

Cache Blocks: An Efficient Scheme for Solid State Drives wit...

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International Conference on Networking, Architecture, and storage (NAS)

作者： Fei Wu Xiang Chen Jiguang Wan Key Laboratory of Data Storage System School of Computer Science and Technology Division of Data Storage System Wuhan National Laboratory of Optoelectronics Huazhong University of Science and Technology Wuhan Hubei China

关键词： Random access memory Microprogramming Flash memory Solids Arrays Capacitance Accidents

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